5a021e0d-907c-4cba-bfe2-1c790fd95be4 urn:uuid en UTF-8 nonGeographicDataset nonGeographicDataset 2025-11-11T09:53:41 creation ISO 19115 2016 Foliage projective cover 2011 series 5a021e0d-907c-4cba-bfe2-1c790fd95be4 Foliage Projective Cover (FPC) is the percentage of ground area occupied by vertical projection of foliage. The Remote Sensing Centre FPC mapping is based on automated decision tree classification technique applied to dry season Landsat 5 TM imagery for period 1986-2011. Foliage projective cover 2011 series metadata record documentDigital Full ISO 19115 metadata record XML Foliage projective cover 2011 - Adavale documentDigital Foliage Projective Cover (FPC) is the percentage of ground area occupied by the vertical projection of foliage. The Remote Sensing Centre FPC mapping is based on an automated decision tree classification technique applied to dry season (May to October) Landsat 5 TM imagery for the period 1986-2011. The product has a nominal accuracy of 85%. The field data used to calibrate the imagery/FPC relationship was mostly collected over the period 1996-1999. Additional corrections were also applied to the final product to remove errors due to topographic effects, cloud, cloud shadow, water, cropping, regrowth and wooded vegetation clearing. Some errors may remain. This product has more precise FPC predictions than previous versions. The analysis has been completed on each of 90 satellite scenes. While some land cover change may be detected in the FPC processing, this product is not designed to generate clearing layers, and cannot be used to assess clearing or be compared with previous years for change monitoring. The Statewide Landcover and Trees Study (SLATS) produces accurate clearing layers for this purpose. Description: FPC is the percentage of ground area occupied by the vertical projection of foliage. FPC Image (lztmre_adav_e8811_chtm5.img). Image value = FPC 100 (i.e. FPC of 5% = image value of 105). The pixel values in this data set represent the predicted Foliage Projective Cover (FPC) values. Range is 100-200 which is equivalent to 0-100% FPC. Values erroneously predicted above 100% or below 0% have been classed as 200 and 100 respectively. Zero values indicate null data. A number of datasets have been used to mask out certain features from the FPC dataset: - Cropping and plantation areas have been masked using the 1999 Queensland Land Use Mapping Program (QLUMP) dataset (https://www.qld.gov.au/environment/land/vegetation/mapping/qlump/). - A Landsat-derived water index was used to mask water bodies from each individual FPC image (Danaher and Collett 2006). An additional mask is applied for areas with persistent inundation based on multi-temporal analysis of the water index. - A topographic correction based on the 1 second SRTM derived Digital Surface Model, Version 1.0, was applied to misclassified steep east-facing slopes. The SRTM data consisted of a DEM and slope layer as processed by Geosciences Australia SPATIAL DATA FORMAT Foliage projective cover 2011 - Alpha documentDigital Foliage Projective Cover (FPC) is the percentage of ground area occupied by the vertical projection of foliage. The Remote Sensing Centre FPC mapping is based on an automated decision tree classification technique applied to dry season (May to October) Landsat 5 TM imagery for the period 1986-2011. The product has a nominal accuracy of 85%. The field data used to calibrate the imagery/FPC relationship was mostly collected over the period 1996-1999. Additional corrections were also applied to the final product to remove errors due to topographic effects, cloud, cloud shadow, water, cropping, regrowth and wooded vegetation clearing. Some errors may remain. This product has more precise FPC predictions than previous versions. The analysis has been completed on each of 90 satellite scenes. While some land cover change may be detected in the FPC processing, this product is not designed to generate clearing layers, and cannot be used to assess clearing or be compared with previous years for change monitoring. The Statewide Landcover and Trees Study (SLATS) produces accurate clearing layers for this purpose. Description: FPC is the percentage of ground area occupied by the vertical projection of foliage. FPC Image (lztmre_alph_e8811_chtm5.img). Image value = FPC 100 (i.e. FPC of 5% = image value of 105). The pixel values in this data set represent the predicted Foliage Projective Cover (FPC) values. Range is 100-200 which is equivalent to 0-100% FPC. Values erroneously predicted above 100% or below 0% have been classed as 200 and 100 respectively. Zero values indicate null data. A number of datasets have been used to mask out certain features from the FPC dataset: - Cropping and plantation areas have been masked using the 1999 Queensland Land Use Mapping Program (QLUMP) dataset (https://www.qld.gov.au/environment/land/vegetation/mapping/qlump/). - A Landsat-derived water index was used to mask water bodies from each individual FPC image (Danaher and Collett 2006). An additional mask is applied for areas with persistent inundation based on multi-temporal analysis of the water index. - A topographic correction based on the 1 second SRTM derived Digital Surface Model, Version 1.0, was applied to misclassified steep east-facing slopes. The SRTM data consisted of a DEM and slope layer as processed by Geosciences Australia. Spatial Data Format Foliage projective cover 2011 - Aramac documentDigital Foliage Projective Cover (FPC) is the percentage of ground area occupied by the vertical projection of foliage. The Remote Sensing Centre FPC mapping is based on an automated decision tree classification technique applied to dry season (May to October) Landsat 5 TM imagery for the period 1986-2011. The product has a nominal accuracy of 85%. The field data used to calibrate the imagery/FPC relationship was mostly collected over the period 1996-1999. Additional corrections were also applied to the final product to remove errors due to topographic effects, cloud, cloud shadow, water, cropping, regrowth and wooded vegetation clearing. Some errors may remain. This product has more precise FPC predictions than previous versions. The analysis has been completed on each of 90 satellite scenes. While some land cover change may be detected in the FPC processing, this product is not designed to generate clearing layers, and cannot be used to assess clearing or be compared with previous years for change monitoring. The Statewide Landcover and Trees Study (SLATS) produces accurate clearing layers for this purpose. Description: FPC is the percentage of ground area occupied by the vertical projection of foliage. FPC Image (lztmre_aram_e8811_chtm5.img). Image value = FPC 100 (i.e. FPC of 5% = image value of 105). The pixel values in this data set represent the predicted Foliage Projective Cover (FPC) values. Range is 100-200 which is equivalent to 0-100% FPC. Values erroneously predicted above 100% or below 0% have been classed as 200 and 100 respectively. Zero values indicate null data. A number of datasets have been used to mask out certain features from the FPC dataset: - Cropping and plantation areas have been masked using the 1999 Queensland Land Use Mapping Program (QLUMP) dataset (https://www.qld.gov.au/environment/land/vegetation/mapping/qlump/). - A Landsat-derived water index was used to mask water bodies from each individual FPC image (Danaher and Collett 2006). An additional mask is applied for areas with persistent inundation based on multi-temporal analysis of the water index. - A topographic correction based on the 1 second SRTM derived Digital Surface Model, Version 1.0, was applied to misclassified steep east-facing slopes. The SRTM data consisted of a DEM and slope layer as processed by Geosciences Australia. Spatial Data Format Foliage projective cover 2011 - Arizona documentDigital Foliage Projective Cover (FPC) is the percentage of ground area occupied by the vertical projection of foliage. The Remote Sensing Centre FPC mapping is based on an automated decision tree classification technique applied to dry season (May to October) Landsat 5 TM imagery for the period 1986-2011. The product has a nominal accuracy of 85%. The field data used to calibrate the imagery/FPC relationship was mostly collected over the period 1996-1999. Additional corrections were also applied to the final product to remove errors due to topographic effects, cloud, cloud shadow, water, cropping, regrowth and wooded vegetation clearing. Some errors may remain. This product has more precise FPC predictions than previous versions. The analysis has been completed on each of 90 satellite scenes. While some land cover change may be detected in the FPC processing, this product is not designed to generate clearing layers, and cannot be used to assess clearing or be compared with previous years for change monitoring. The Statewide Landcover and Trees Study (SLATS) produces accurate clearing layers for this purpose. Description: FPC is the percentage of ground area occupied by the vertical projection of foliage. FPC Image (lztmre_ariz_e8811_chtm4.img). Image value = FPC 100 (i.e. FPC of 5% = image value of 105). The pixel values in this data set represent the predicted Foliage Projective Cover (FPC) values. Range is 100-200 which is equivalent to 0-100% FPC. Values erroneously predicted above 100% or below 0% have been classed as 200 and 100 respectively. Zero values indicate null data. A number of datasets have been used to mask out certain features from the FPC dataset: - Cropping and plantation areas have been masked using the 1999 Queensland Land Use Mapping Program (QLUMP) dataset (https://www.qld.gov.au/environment/land/vegetation/mapping/qlump/). - A Landsat-derived water index was used to mask water bodies from each individual FPC image (Danaher and Collett 2006). An additional mask is applied for areas with persistent inundation based on multi-temporal analysis of the water index. - A topographic correction based on the 1 second SRTM derived Digital Surface Model, Version 1.0, was applied to misclassified steep east-facing slopes. The SRTM data consisted of a DEM and slope layer as processed by Geosciences Australia. Spatial Data Format Foliage projective cover 2011 - Arrabury documentDigital Foliage Projective Cover (FPC) is the percentage of ground area occupied by the vertical projection of foliage. The Remote Sensing Centre FPC mapping is based on an automated decision tree classification technique applied to dry season (May to October) Landsat 5 TM imagery for the period 1986-2011. The product has a nominal accuracy of 85%. The field data used to calibrate the imagery/FPC relationship was mostly collected over the period 1996-1999. Additional corrections were also applied to the final product to remove errors due to topographic effects, cloud, cloud shadow, water, cropping, regrowth and wooded vegetation clearing. Some errors may remain. This product has more precise FPC predictions than previous versions. The analysis has been completed on each of 90 satellite scenes. While some land cover change may be detected in the FPC processing, this product is not designed to generate clearing layers, and cannot be used to assess clearing or be compared with previous years for change monitoring. The Statewide Landcover and Trees Study (SLATS) produces accurate clearing layers for this purpose. Description: FPC is the percentage of ground area occupied by the vertical projection of foliage. FPC Image (lztmre_arra_e8811_chtm4.img). Image value = FPC 100 (i.e. FPC of 5% = image value of 105). The pixel values in this data set represent the predicted Foliage Projective Cover (FPC) values. Range is 100-200 which is equivalent to 0-100% FPC. Values erroneously predicted above 100% or below 0% have been classed as 200 and 100 respectively. Zero values indicate null data. A number of datasets have been used to mask out certain features from the FPC dataset: - Cropping and plantation areas have been masked using the 1999 Queensland Land Use Mapping Program (QLUMP) dataset (https://www.qld.gov.au/environment/land/vegetation/mapping/qlump/). - A Landsat-derived water index was used to mask water bodies from each individual FPC image (Danaher and Collett 2006). An additional mask is applied for areas with persistent inundation based on multi-temporal analysis of the water index. - A topographic correction based on the 1 second SRTM derived Digital Surface Model, Version 1.0, was applied to misclassified steep east-facing slopes. The SRTM data consisted of a DEM and slope layer as processed by Geosciences Australia. Spatial Data Format Foliage projective cover 2011 - Atherton documentDigital Foliage Projective Cover (FPC) is the percentage of ground area occupied by the vertical projection of foliage. The Remote Sensing Centre FPC mapping is based on an automated decision tree classification technique applied to dry season (May to October) Landsat 5 TM imagery for the period 1986-2011. The product has a nominal accuracy of 85%. The field data used to calibrate the imagery/FPC relationship was mostly collected over the period 1996-1999. Additional corrections were also applied to the final product to remove errors due to topographic effects, cloud, cloud shadow, water, cropping, regrowth and wooded vegetation clearing. Some errors may remain. This product has more precise FPC predictions than previous versions. The analysis has been completed on each of 90 satellite scenes. While some land cover change may be detected in the FPC processing, this product is not designed to generate clearing layers, and cannot be used to assess clearing or be compared with previous years for change monitoring. The Statewide Landcover and Trees Study (SLATS) produces accurate clearing layers for this purpose. Description: FPC is the percentage of ground area occupied by the vertical projection of foliage. FPC Image (lztmre_athe_e8811_chtm5.img). Image value = FPC 100 (i.e. FPC of 5% = image value of 105). The pixel values in this data set represent the predicted Foliage Projective Cover (FPC) values. Range is 100-200 which is equivalent to 0-100% FPC. Values erroneously predicted above 100% or below 0% have been classed as 200 and 100 respectively. Zero values indicate null data. A number of datasets have been used to mask out certain features from the FPC dataset: - Cropping and plantation areas have been masked using the 1999 Queensland Land Use Mapping Program (QLUMP) dataset (https://www.qld.gov.au/environment/land/vegetation/mapping/qlump/). - A Landsat-derived water index was used to mask water bodies from each individual FPC image (Danaher and Collett 2006). An additional mask is applied for areas with persistent inundation based on multi-temporal analysis of the water index. - A topographic correction based on the 1 second SRTM derived Digital Surface Model, Version 1.0, was applied to misclassified steep east-facing slopes. The SRTM data consisted of a DEM and slope layer as processed by Geosciences Australia. Spatial Data Format Foliage projective cover 2011 - Badu Island documentDigital Foliage Projective Cover (FPC) is the percentage of ground area occupied by the vertical projection of foliage. The Remote Sensing Centre FPC mapping is based on an automated decision tree classification technique applied to dry season (May to October) Landsat 5 TM imagery for the period 1986-2011. The product has a nominal accuracy of 85%. The field data used to calibrate the imagery/FPC relationship was mostly collected over the period 1996-1999. Additional corrections were also applied to the final product to remove errors due to topographic effects, cloud, cloud shadow, water, cropping, regrowth and wooded vegetation clearing. Some errors may remain. This product has more precise FPC predictions than previous versions. The analysis has been completed on each of 90 satellite scenes. While some land cover change may be detected in the FPC processing, this product is not designed to generate clearing layers, and cannot be used to assess clearing or be compared with previous years for change monitoring. The Statewide Landcover and Trees Study (SLATS) produces accurate clearing layers for this purpose. Description: FPC is the percentage of ground area occupied by the vertical projection of foliage. FPC Image (lztmre_badu_e8811_chtm4.img). Image value = FPC 100 (i.e. FPC of 5% = image value of 105). The pixel values in this data set represent the predicted Foliage Projective Cover (FPC) values. Range is 100-200 which is equivalent to 0-100% FPC. Values erroneously predicted above 100% or below 0% have been classed as 200 and 100 respectively. Zero values indicate null data. A number of datasets have been used to mask out certain features from the FPC dataset: - Cropping and plantation areas have been masked using the 1999 Queensland Land Use Mapping Program (QLUMP) dataset (https://www.qld.gov.au/environment/land/vegetation/mapping/qlump/). - A Landsat-derived water index was used to mask water bodies from each individual FPC image (Danaher and Collett 2006). An additional mask is applied for areas with persistent inundation based on multi-temporal analysis of the water index. - A topographic correction based on the 1 second SRTM derived Digital Surface Model, Version 1.0, was applied to misclassified steep east-facing slopes. The SRTM data consisted of a DEM and slope layer as processed by Geosciences Australia. Spatial Data Format Foliage projective cover 2011 - Bedourie documentDigital Foliage Projective Cover (FPC) is the percentage of ground area occupied by the vertical projection of foliage. The Remote Sensing Centre FPC mapping is based on an automated decision tree classification technique applied to dry season (May to October) Landsat 5 TM imagery for the period 1986-2011. The product has a nominal accuracy of 85%. The field data used to calibrate the imagery/FPC relationship was mostly collected over the period 1996-1999. Additional corrections were also applied to the final product to remove errors due to topographic effects, cloud, cloud shadow, water, cropping, regrowth and wooded vegetation clearing. Some errors may remain. This product has more precise FPC predictions than previous versions. The analysis has been completed on each of 90 satellite scenes. While some land cover change may be detected in the FPC processing, this product is not designed to generate clearing layers, and cannot be used to assess clearing or be compared with previous years for change monitoring. The Statewide Landcover and Trees Study (SLATS) produces accurate clearing layers for this purpose. Description: FPC is the percentage of ground area occupied by the vertical projection of foliage. FPC Image (lztmre_bedo_e8811_chtm4.img). Image value = FPC 100 (i.e. FPC of 5% = image value of 105). The pixel values in this data set represent the predicted Foliage Projective Cover (FPC) values. Range is 100-200 which is equivalent to 0-100% FPC. Values erroneously predicted above 100% or below 0% have been classed as 200 and 100 respectively. Zero values indicate null data. A number of datasets have been used to mask out certain features from the FPC dataset: - Cropping and plantation areas have been masked using the 1999 Queensland Land Use Mapping Program (QLUMP) dataset (https://www.qld.gov.au/environment/land/vegetation/mapping/qlump/). - A Landsat-derived water index was used to mask water bodies from each individual FPC image (Danaher and Collett 2006). An additional mask is applied for areas with persistent inundation based on multi-temporal analysis of the water index. - A topographic correction based on the 1 second SRTM derived Digital Surface Model, Version 1.0, was applied to misclassified steep east-facing slopes. The SRTM data consisted of a DEM and slope layer as processed by Geosciences Australia. Spatial Data Format Foliage projective cover 2011 - Bellfield documentDigital Foliage Projective Cover (FPC) is the percentage of ground area occupied by the vertical projection of foliage. The Remote Sensing Centre FPC mapping is based on an automated decision tree classification technique applied to dry season (May to October) Landsat 5 TM imagery for the period 1986-2011. The product has a nominal accuracy of 85%. The field data used to calibrate the imagery/FPC relationship was mostly collected over the period 1996-1999. Additional corrections were also applied to the final product to remove errors due to topographic effects, cloud, cloud shadow, water, cropping, regrowth and wooded vegetation clearing. Some errors may remain. This product has more precise FPC predictions than previous versions. The analysis has been completed on each of 90 satellite scenes. While some land cover change may be detected in the FPC processing, this product is not designed to generate clearing layers, and cannot be used to assess clearing or be compared with previous years for change monitoring. The Statewide Landcover and Trees Study (SLATS) produces accurate clearing layers for this purpose. Description: FPC is the percentage of ground area occupied by the vertical projection of foliage. FPC Image (lztmre_bell_e8811_chtm4.img). Image value = FPC 100 (i.e. FPC of 5% = image value of 105). The pixel values in this data set represent the predicted Foliage Projective Cover (FPC) values. Range is 100-200 which is equivalent to 0-100% FPC. Values erroneously predicted above 100% or below 0% have been classed as 200 and 100 respectively. Zero values indicate null data. A number of datasets have been used to mask out certain features from the FPC dataset: - Cropping and plantation areas have been masked using the 1999 Queensland Land Use Mapping Program (QLUMP) dataset (https://www.qld.gov.au/environment/land/vegetation/mapping/qlump/). - A Landsat-derived water index was used to mask water bodies from each individual FPC image (Danaher and Collett 2006). An additional mask is applied for areas with persistent inundation based on multi-temporal analysis of the water index. - A topographic correction based on the 1 second SRTM derived Digital Surface Model, Version 1.0, was applied to misclassified steep east-facing slopes. The SRTM data consisted of a DEM and slope layer as processed by Geosciences Australia. Spatial Data Format Foliage projective cover 2011 - Bentink Island documentDigital Foliage Projective Cover (FPC) is the percentage of ground area occupied by the vertical projection of foliage. The Remote Sensing Centre FPC mapping is based on an automated decision tree classification technique applied to dry season (May to October) Landsat 5 TM imagery for the period 1986-2011. The product has a nominal accuracy of 85%. The field data used to calibrate the imagery/FPC relationship was mostly collected over the period 1996-1999. Additional corrections were also applied to the final product to remove errors due to topographic effects, cloud, cloud shadow, water, cropping, regrowth and wooded vegetation clearing. Some errors may remain. This product has more precise FPC predictions than previous versions. The analysis has been completed on each of 90 satellite scenes. While some land cover change may be detected in the FPC processing, this product is not designed to generate clearing layers, and cannot be used to assess clearing or be compared with previous years for change monitoring. The Statewide Landcover and Trees Study (SLATS) produces accurate clearing layers for this purpose. Description: FPC is the percentage of ground area occupied by the vertical projection of foliage. FPC Image (lztmre_bent_e8811_chtm4.img). Image value = FPC 100 (i.e. FPC of 5% = image value of 105). The pixel values in this data set represent the predicted Foliage Projective Cover (FPC) values. Range is 100-200 which is equivalent to 0-100% FPC. Values erroneously predicted above 100% or below 0% have been classed as 200 and 100 respectively. Zero values indicate null data. A number of datasets have been used to mask out certain features from the FPC dataset: - Cropping and plantation areas have been masked using the 1999 Queensland Land Use Mapping Program (QLUMP) dataset (https://www.qld.gov.au/environment/land/vegetation/mapping/qlump/). - A Landsat-derived water index was used to mask water bodies from each individual FPC image (Danaher and Collett 2006). An additional mask is applied for areas with persistent inundation based on multi-temporal analysis of the water index. - A topographic correction based on the 1 second SRTM derived Digital Surface Model, Version 1.0, was applied to misclassified steep east-facing slopes. The SRTM data consisted of a DEM and slope layer as processed by Geosciences Australia. Spatial Data Format Foliage projective cover 2011 - Birdsville documentDigital Foliage Projective Cover (FPC) is the percentage of ground area occupied by the vertical projection of foliage. The Remote Sensing Centre FPC mapping is based on an automated decision tree classification technique applied to dry season (May to October) Landsat 5 TM imagery for the period 1986-2011. The product has a nominal accuracy of 85%. The field data used to calibrate the imagery/FPC relationship was mostly collected over the period 1996-1999. Additional corrections were also applied to the final product to remove errors due to topographic effects, cloud, cloud shadow, water, cropping, regrowth and wooded vegetation clearing. Some errors may remain. This product has more precise FPC predictions than previous versions. The analysis has been completed on each of 90 satellite scenes. While some land cover change may be detected in the FPC processing, this product is not designed to generate clearing layers, and cannot be used to assess clearing or be compared with previous years for change monitoring. The Statewide Landcover and Trees Study (SLATS) produces accurate clearing layers for this purpose. Description: FPC is the percentage of ground area occupied by the vertical projection of foliage. FPC Image (lztmre_bird_e8811_chtm4.img). Image value = FPC 100 (i.e. FPC of 5% = image value of 105). The pixel values in this data set represent the predicted Foliage Projective Cover (FPC) values. Range is 100-200 which is equivalent to 0-100% FPC. Values erroneously predicted above 100% or below 0% have been classed as 200 and 100 respectively. Zero values indicate null data. A number of datasets have been used to mask out certain features from the FPC dataset: - Cropping and plantation areas have been masked using the 1999 Queensland Land Use Mapping Program (QLUMP) dataset (https://www.qld.gov.au/environment/land/vegetation/mapping/qlump/). - A Landsat-derived water index was used to mask water bodies from each individual FPC image (Danaher and Collett 2006). An additional mask is applied for areas with persistent inundation based on multi-temporal analysis of the water index. - A topographic correction based on the 1 second SRTM derived Digital Surface Model, Version 1.0, was applied to misclassified steep east-facing slopes. The SRTM data consisted of a DEM and slope layer as processed by Geosciences Australia. Spatial Data Format Foliage projective cover 2011 - Blackwater documentDigital Foliage Projective Cover (FPC) is the percentage of ground area occupied by the vertical projection of foliage. The Remote Sensing Centre FPC mapping is based on an automated decision tree classification technique applied to dry season (May to October) Landsat 5 TM imagery for the period 1986-2011. The product has a nominal accuracy of 85%. The field data used to calibrate the imagery/FPC relationship was mostly collected over the period 1996-1999. Additional corrections were also applied to the final product to remove errors due to topographic effects, cloud, cloud shadow, water, cropping, regrowth and wooded vegetation clearing. Some errors may remain. This product has more precise FPC predictions than previous versions. The analysis has been completed on each of 90 satellite scenes. While some land cover change may be detected in the FPC processing, this product is not designed to generate clearing layers, and cannot be used to assess clearing or be compared with previous years for change monitoring. The Statewide Landcover and Trees Study (SLATS) produces accurate clearing layers for this purpose. Description: FPC is the percentage of ground area occupied by the vertical projection of foliage. FPC Image (lztmre_blac_e8811_chtm5.img). Image value = FPC 100 (i.e. FPC of 5% = image value of 105). The pixel values in this data set represent the predicted Foliage Projective Cover (FPC) values. Range is 100-200 which is equivalent to 0-100% FPC. Values erroneously predicted above 100% or below 0% have been classed as 200 and 100 respectively. Zero values indicate null data. A number of datasets have been used to mask out certain features from the FPC dataset: - Cropping and plantation areas have been masked using the 1999 Queensland Land Use Mapping Program (QLUMP) dataset (https://www.qld.gov.au/environment/land/vegetation/mapping/qlump/). - A Landsat-derived water index was used to mask water bodies from each individual FPC image (Danaher and Collett 2006). An additional mask is applied for areas with persistent inundation based on multi-temporal analysis of the water index. - A topographic correction based on the 1 second SRTM derived Digital Surface Model, Version 1.0, was applied to misclassified steep east-facing slopes. The SRTM data consisted of a DEM and slope layer as processed by Geosciences Australia. Spatial Data Format Foliage projective cover 2011 - Bollon documentDigital Foliage Projective Cover (FPC) is the percentage of ground area occupied by the vertical projection of foliage. The Remote Sensing Centre FPC mapping is based on an automated decision tree classification technique applied to dry season (May to October) Landsat 5 TM imagery for the period 1986-2011. The product has a nominal accuracy of 85%. The field data used to calibrate the imagery/FPC relationship was mostly collected over the period 1996-1999. Additional corrections were also applied to the final product to remove errors due to topographic effects, cloud, cloud shadow, water, cropping, regrowth and wooded vegetation clearing. Some errors may remain. This product has more precise FPC predictions than previous versions. The analysis has been completed on each of 90 satellite scenes. While some land cover change may be detected in the FPC processing, this product is not designed to generate clearing layers, and cannot be used to assess clearing or be compared with previous years for change monitoring. The Statewide Landcover and Trees Study (SLATS) produces accurate clearing layers for this purpose. Description: FPC is the percentage of ground area occupied by the vertical projection of foliage. FPC Image (lztmre_boll_e8811_chtm5.img). Image value = FPC 100 (i.e. FPC of 5% = image value of 105). The pixel values in this data set represent the predicted Foliage Projective Cover (FPC) values. Range is 100-200 which is equivalent to 0-100% FPC. Values erroneously predicted above 100% or below 0% have been classed as 200 and 100 respectively. Zero values indicate null data. A number of datasets have been used to mask out certain features from the FPC dataset: - Cropping and plantation areas have been masked using the 1999 Queensland Land Use Mapping Program (QLUMP) dataset (https://www.qld.gov.au/environment/land/vegetation/mapping/qlump/). - A Landsat-derived water index was used to mask water bodies from each individual FPC image (Danaher and Collett 2006). An additional mask is applied for areas with persistent inundation based on multi-temporal analysis of the water index. - A topographic correction based on the 1 second SRTM derived Digital Surface Model, Version 1.0, was applied to misclassified steep east-facing slopes. The SRTM data consisted of a DEM and slope layer as processed by Geosciences Australia. Spatial Data Format Foliage projective cover 2011 - Boulia documentDigital Foliage Projective Cover (FPC) is the percentage of ground area occupied by the vertical projection of foliage. The Remote Sensing Centre FPC mapping is based on an automated decision tree classification technique applied to dry season (May to October) Landsat 5 TM imagery for the period 1986-2011. The product has a nominal accuracy of 85%. The field data used to calibrate the imagery/FPC relationship was mostly collected over the period 1996-1999. Additional corrections were also applied to the final product to remove errors due to topographic effects, cloud, cloud shadow, water, cropping, regrowth and wooded vegetation clearing. Some errors may remain. This product has more precise FPC predictions than previous versions. The analysis has been completed on each of 90 satellite scenes. While some land cover change may be detected in the FPC processing, this product is not designed to generate clearing layers, and cannot be used to assess clearing or be compared with previous years for change monitoring. The Statewide Landcover and Trees Study (SLATS) produces accurate clearing layers for this purpose. Description: FPC is the percentage of ground area occupied by the vertical projection of foliage. FPC Image (lztmre_boul_e8811_chtm4.img). Image value = FPC 100 (i.e. FPC of 5% = image value of 105). The pixel values in this data set represent the predicted Foliage Projective Cover (FPC) values. Range is 100-200 which is equivalent to 0-100% FPC. Values erroneously predicted above 100% or below 0% have been classed as 200 and 100 respectively. Zero values indicate null data. A number of datasets have been used to mask out certain features from the FPC dataset: - Cropping and plantation areas have been masked using the 1999 Queensland Land Use Mapping Program (QLUMP) dataset (https://www.qld.gov.au/environment/land/vegetation/mapping/qlump/). - A Landsat-derived water index was used to mask water bodies from each individual FPC image (Danaher and Collett 2006). An additional mask is applied for areas with persistent inundation based on multi-temporal analysis of the water index. - A topographic correction based on the 1 second SRTM derived Digital Surface Model, Version 1.0, was applied to misclassified steep east-facing slopes. The SRTM data consisted of a DEM and slope layer as processed by Geosciences Australia. Spatial Data Format Foliage projective cover 2011 - Bransby documentDigital Foliage Projective Cover (FPC) is the percentage of ground area occupied by the vertical projection of foliage. The Remote Sensing Centre FPC mapping is based on an automated decision tree classification technique applied to dry season (May to October) Landsat 5 TM imagery for the period 1986-2011. The product has a nominal accuracy of 85%. The field data used to calibrate the imagery/FPC relationship was mostly collected over the period 1996-1999. Additional corrections were also applied to the final product to remove errors due to topographic effects, cloud, cloud shadow, water, cropping, regrowth and wooded vegetation clearing. Some errors may remain. This product has more precise FPC predictions than previous versions. The analysis has been completed on each of 90 satellite scenes. While some land cover change may be detected in the FPC processing, this product is not designed to generate clearing layers, and cannot be used to assess clearing or be compared with previous years for change monitoring. The Statewide Landcover and Trees Study (SLATS) produces accurate clearing layers for this purpose. Description: FPC is the percentage of ground area occupied by the vertical projection of foliage. FPC Image (lztmre_bran_e8811_chtm4.img). Image value = FPC 100 (i.e. FPC of 5% = image value of 105). The pixel values in this data set represent the predicted Foliage Projective Cover (FPC) values. Range is 100-200 which is equivalent to 0-100% FPC. Values erroneously predicted above 100% or below 0% have been classed as 200 and 100 respectively. Zero values indicate null data. A number of datasets have been used to mask out certain features from the FPC dataset: - Cropping and plantation areas have been masked using the 1999 Queensland Land Use Mapping Program (QLUMP) dataset (https://www.qld.gov.au/environment/land/vegetation/mapping/qlump/). - A Landsat-derived water index was used to mask water bodies from each individual FPC image (Danaher and Collett 2006). An additional mask is applied for areas with persistent inundation based on multi-temporal analysis of the water index. - A topographic correction based on the 1 second SRTM derived Digital Surface Model, Version 1.0, was applied to misclassified steep east-facing slopes. The SRTM data consisted of a DEM and slope layer as processed by Geosciences Australia. Spatial Data Format Foliage projective cover 2011 - Bulimba documentDigital Foliage Projective Cover (FPC) is the percentage of ground area occupied by the vertical projection of foliage. The Remote Sensing Centre FPC mapping is based on an automated decision tree classification technique applied to dry season (May to October) Landsat 5 TM imagery for the period 1986-2011. The product has a nominal accuracy of 85%. The field data used to calibrate the imagery/FPC relationship was mostly collected over the period 1996-1999. Additional corrections were also applied to the final product to remove errors due to topographic effects, cloud, cloud shadow, water, cropping, regrowth and wooded vegetation clearing. Some errors may remain. This product has more precise FPC predictions than previous versions. The analysis has been completed on each of 90 satellite scenes. While some land cover change may be detected in the FPC processing, this product is not designed to generate clearing layers, and cannot be used to assess clearing or be compared with previous years for change monitoring. The Statewide Landcover and Trees Study (SLATS) produces accurate clearing layers for this purpose. Description: FPC is the percentage of ground area occupied by the vertical projection of foliage. FPC Image (lztmre_buli_e8811_chtm4.img). Image value = FPC 100 (i.e. FPC of 5% = image value of 105). The pixel values in this data set represent the predicted Foliage Projective Cover (FPC) values. Range is 100-200 which is equivalent to 0-100% FPC. Values erroneously predicted above 100% or below 0% have been classed as 200 and 100 respectively. Zero values indicate null data. A number of datasets have been used to mask out certain features from the FPC dataset: - Cropping and plantation areas have been masked using the 1999 Queensland Land Use Mapping Program (QLUMP) dataset (https://www.qld.gov.au/environment/land/vegetation/mapping/qlump/). - A Landsat-derived water index was used to mask water bodies from each individual FPC image (Danaher and Collett 2006). An additional mask is applied for areas with persistent inundation based on multi-temporal analysis of the water index. - A topographic correction based on the 1 second SRTM derived Digital Surface Model, Version 1.0, was applied to misclassified steep east-facing slopes. The SRTM data consisted of a DEM and slope layer as processed by Geosciences Australia. Spatial Data Format Foliage projective cover 2011 - Bundaberg documentDigital Foliage Projective Cover (FPC) is the percentage of ground area occupied by the vertical projection of foliage. The Remote Sensing Centre FPC mapping is based on an automated decision tree classification technique applied to dry season (May to October) Landsat 5 TM imagery for the period 1986-2011. The product has a nominal accuracy of 85%. The field data used to calibrate the imagery/FPC relationship was mostly collected over the period 1996-1999. Additional corrections were also applied to the final product to remove errors due to topographic effects, cloud, cloud shadow, water, cropping, regrowth and wooded vegetation clearing. Some errors may remain. This product has more precise FPC predictions than previous versions. The analysis has been completed on each of 90 satellite scenes. While some land cover change may be detected in the FPC processing, this product is not designed to generate clearing layers, and cannot be used to assess clearing or be compared with previous years for change monitoring. The Statewide Landcover and Trees Study (SLATS) produces accurate clearing layers for this purpose. Description: FPC is the percentage of ground area occupied by the vertical projection of foliage. FPC Image (lztmre_bund_e8811_chtm6.img). Image value = FPC 100 (i.e. FPC of 5% = image value of 105). The pixel values in this data set represent the predicted Foliage Projective Cover (FPC) values. Range is 100-200 which is equivalent to 0-100% FPC. Values erroneously predicted above 100% or below 0% have been classed as 200 and 100 respectively. Zero values indicate null data. A number of datasets have been used to mask out certain features from the FPC dataset: - Cropping and plantation areas have been masked using the 1999 Queensland Land Use Mapping Program (QLUMP) dataset (https://www.qld.gov.au/environment/land/vegetation/mapping/qlump/). - A Landsat-derived water index was used to mask water bodies from each individual FPC image (Danaher and Collett 2006). An additional mask is applied for areas with persistent inundation based on multi-temporal analysis of the water index. - A topographic correction based on the 1 second SRTM derived Digital Surface Model, Version 1.0, was applied to misclassified steep east-facing slopes. The SRTM data consisted of a DEM and slope layer as processed by Geosciences Australia. Spatial Data Format Foliage projective cover 2011 - Burketown documentDigital Foliage Projective Cover (FPC) is the percentage of ground area occupied by the vertical projection of foliage. The Remote Sensing Centre FPC mapping is based on an automated decision tree classification technique applied to dry season (May to October) Landsat 5 TM imagery for the period 1986-2011. The product has a nominal accuracy of 85%. The field data used to calibrate the imagery/FPC relationship was mostly collected over the period 1996-1999. Additional corrections were also applied to the final product to remove errors due to topographic effects, cloud, cloud shadow, water, cropping, regrowth and wooded vegetation clearing. Some errors may remain. This product has more precise FPC predictions than previous versions. The analysis has been completed on each of 90 satellite scenes. While some land cover change may be detected in the FPC processing, this product is not designed to generate clearing layers, and cannot be used to assess clearing or be compared with previous years for change monitoring. The Statewide Landcover and Trees Study (SLATS) produces accurate clearing layers for this purpose. Description: FPC is the percentage of ground area occupied by the vertical projection of foliage. FPC Image (lztmre_burk_e8811_chtm4.img). Image value = FPC 100 (i.e. FPC of 5% = image value of 105). The pixel values in this data set represent the predicted Foliage Projective Cover (FPC) values. Range is 100-200 which is equivalent to 0-100% FPC. Values erroneously predicted above 100% or below 0% have been classed as 200 and 100 respectively. Zero values indicate null data. A number of datasets have been used to mask out certain features from the FPC dataset: - Cropping and plantation areas have been masked using the 1999 Queensland Land Use Mapping Program (QLUMP) dataset (https://www.qld.gov.au/environment/land/vegetation/mapping/qlump/). - A Landsat-derived water index was used to mask water bodies from each individual FPC image (Danaher and Collett 2006). An additional mask is applied for areas with persistent inundation based on multi-temporal analysis of the water index. - A topographic correction based on the 1 second SRTM derived Digital Surface Model, Version 1.0, was applied to misclassified steep east-facing slopes. The SRTM data consisted of a DEM and slope layer as processed by Geosciences Australia. Spatial Data Format Foliage projective cover 2011 - Cadell documentDigital Foliage Projective Cover (FPC) is the percentage of ground area occupied by the vertical projection of foliage. The Remote Sensing Centre FPC mapping is based on an automated decision tree classification technique applied to dry season (May to October) Landsat 5 TM imagery for the period 1986-2011. The product has a nominal accuracy of 85%. The field data used to calibrate the imagery/FPC relationship was mostly collected over the period 1996-1999. Additional corrections were also applied to the final product to remove errors due to topographic effects, cloud, cloud shadow, water, cropping, regrowth and wooded vegetation clearing. Some errors may remain. This product has more precise FPC predictions than previous versions. The analysis has been completed on each of 90 satellite scenes. While some land cover change may be detected in the FPC processing, this product is not designed to generate clearing layers, and cannot be used to assess clearing or be compared with previous years for change monitoring. The Statewide Landcover and Trees Study (SLATS) produces accurate clearing layers for this purpose. Description: FPC is the percentage of ground area occupied by the vertical projection of foliage. FPC Image (lztmre_cade_e8811_chtm4.img). Image value = FPC 100 (i.e. FPC of 5% = image value of 105). The pixel values in this data set represent the predicted Foliage Projective Cover (FPC) values. Range is 100-200 which is equivalent to 0-100% FPC. Values erroneously predicted above 100% or below 0% have been classed as 200 and 100 respectively. Zero values indicate null data. A number of datasets have been used to mask out certain features from the FPC dataset: - Cropping and plantation areas have been masked using the 1999 Queensland Land Use Mapping Program (QLUMP) dataset (https://www.qld.gov.au/environment/land/vegetation/mapping/qlump/). - A Landsat-derived water index was used to mask water bodies from each individual FPC image (Danaher and Collett 2006). An additional mask is applied for areas with persistent inundation based on multi-temporal analysis of the water index. - A topographic correction based on the 1 second SRTM derived Digital Surface Model, Version 1.0, was applied to misclassified steep east-facing slopes. The SRTM data consisted of a DEM and slope layer as processed by Geosciences Australia. Spatial Data Format Foliage projective cover 2011 - Cairns documentDigital Foliage Projective Cover (FPC) is the percentage of ground area occupied by the vertical projection of foliage. The Remote Sensing Centre FPC mapping is based on an automated decision tree classification technique applied to dry season (May to October) Landsat 5 TM imagery for the period 1986-2011. The product has a nominal accuracy of 85%. The field data used to calibrate the imagery/FPC relationship was mostly collected over the period 1996-1999. Additional corrections were also applied to the final product to remove errors due to topographic effects, cloud, cloud shadow, water, cropping, regrowth and wooded vegetation clearing. Some errors may remain. This product has more precise FPC predictions than previous versions. The analysis has been completed on each of 90 satellite scenes. While some land cover change may be detected in the FPC processing, this product is not designed to generate clearing layers, and cannot be used to assess clearing or be compared with previous years for change monitoring. The Statewide Landcover and Trees Study (SLATS) produces accurate clearing layers for this purpose. Description: FPC is the percentage of ground area occupied by the vertical projection of foliage. FPC Image (lztmre_cair_e8811_chtm5.img). Image value = FPC 100 (i.e. FPC of 5% = image value of 105). The pixel values in this data set represent the predicted Foliage Projective Cover (FPC) values. Range is 100-200 which is equivalent to 0-100% FPC. Values erroneously predicted above 100% or below 0% have been classed as 200 and 100 respectively. Zero values indicate null data. A number of datasets have been used to mask out certain features from the FPC dataset: - Cropping and plantation areas have been masked using the 1999 Queensland Land Use Mapping Program (QLUMP) dataset (https://www.qld.gov.au/environment/land/vegetation/mapping/qlump/). - A Landsat-derived water index was used to mask water bodies from each individual FPC image (Danaher and Collett 2006). An additional mask is applied for areas with persistent inundation based on multi-temporal analysis of the water index. - A topographic correction based on the 1 second SRTM derived Digital Surface Model, Version 1.0, was applied to misclassified steep east-facing slopes. The SRTM data consisted of a DEM and slope layer as processed by Geosciences Australia. Spatial Data Format Foliage projective cover 2011 - Cameron Corner documentDigital Foliage Projective Cover (FPC) is the percentage of ground area occupied by the vertical projection of foliage. The Remote Sensing Centre FPC mapping is based on an automated decision tree classification technique applied to dry season (May to October) Landsat 5 TM imagery for the period 1986-2011. The product has a nominal accuracy of 85%. The field data used to calibrate the imagery/FPC relationship was mostly collected over the period 1996-1999. Additional corrections were also applied to the final product to remove errors due to topographic effects, cloud, cloud shadow, water, cropping, regrowth and wooded vegetation clearing. Some errors may remain. This product has more precise FPC predictions than previous versions. The analysis has been completed on each of 90 satellite scenes. While some land cover change may be detected in the FPC processing, this product is not designed to generate clearing layers, and cannot be used to assess clearing or be compared with previous years for change monitoring. The Statewide Landcover and Trees Study (SLATS) produces accurate clearing layers for this purpose. Description: FPC is the percentage of ground area occupied by the vertical projection of foliage. FPC Image (lztmre_came_e8811_chtm4.img). Image value = FPC 100 (i.e. FPC of 5% = image value of 105). The pixel values in this data set represent the predicted Foliage Projective Cover (FPC) values. Range is 100-200 which is equivalent to 0-100% FPC. Values erroneously predicted above 100% or below 0% have been classed as 200 and 100 respectively. Zero values indicate null data. A number of datasets have been used to mask out certain features from the FPC dataset: - Cropping and plantation areas have been masked using the 1999 Queensland Land Use Mapping Program (QLUMP) dataset (https://www.qld.gov.au/environment/land/vegetation/mapping/qlump/). - A Landsat-derived water index was used to mask water bodies from each individual FPC image (Danaher and Collett 2006). An additional mask is applied for areas with persistent inundation based on multi-temporal analysis of the water index. - A topographic correction based on the 1 second SRTM derived Digital Surface Model, Version 1.0, was applied to misclassified steep east-facing slopes. The SRTM data consisted of a DEM and slope layer as processed by Geosciences Australia. Spatial Data Format Foliage projective cover 2011 - Camooweal documentDigital Foliage Projective Cover (FPC) is the percentage of ground area occupied by the vertical projection of foliage. The Remote Sensing Centre FPC mapping is based on an automated decision tree classification technique applied to dry season (May to October) Landsat 5 TM imagery for the period 1986-2011. The product has a nominal accuracy of 85%. The field data used to calibrate the imagery/FPC relationship was mostly collected over the period 1996-1999. Additional corrections were also applied to the final product to remove errors due to topographic effects, cloud, cloud shadow, water, cropping, regrowth and wooded vegetation clearing. Some errors may remain. This product has more precise FPC predictions than previous versions. The analysis has been completed on each of 90 satellite scenes. While some land cover change may be detected in the FPC processing, this product is not designed to generate clearing layers, and cannot be used to assess clearing or be compared with previous years for change monitoring. The Statewide Landcover and Trees Study (SLATS) produces accurate clearing layers for this purpose. Description: FPC is the percentage of ground area occupied by the vertical projection of foliage. FPC Image (lztmre_camo_e8811_chtm4.img). Image value = FPC 100 (i.e. FPC of 5% = image value of 105). The pixel values in this data set represent the predicted Foliage Projective Cover (FPC) values. Range is 100-200 which is equivalent to 0-100% FPC. Values erroneously predicted above 100% or below 0% have been classed as 200 and 100 respectively. Zero values indicate null data. A number of datasets have been used to mask out certain features from the FPC dataset: - Cropping and plantation areas have been masked using the 1999 Queensland Land Use Mapping Program (QLUMP) dataset (https://www.qld.gov.au/environment/land/vegetation/mapping/qlump/). - A Landsat-derived water index was used to mask water bodies from each individual FPC image (Danaher and Collett 2006). An additional mask is applied for areas with persistent inundation based on multi-temporal analysis of the water index. - A topographic correction based on the 1 second SRTM derived Digital Surface Model, Version 1.0, was applied to misclassified steep east-facing slopes. The SRTM data consisted of a DEM and slope layer as processed by Geosciences Australia. Spatial Data Format Foliage projective cover 2011 - Cape Keerweer documentDigital Foliage Projective Cover (FPC) is the percentage of ground area occupied by the vertical projection of foliage. The Remote Sensing Centre FPC mapping is based on an automated decision tree classification technique applied to dry season (May to October) Landsat 5 TM imagery for the period 1986-2011. The product has a nominal accuracy of 85%. The field data used to calibrate the imagery/FPC relationship was mostly collected over the period 1996-1999. Additional corrections were also applied to the final product to remove errors due to topographic effects, cloud, cloud shadow, water, cropping, regrowth and wooded vegetation clearing. Some errors may remain. This product has more precise FPC predictions than previous versions. The analysis has been completed on each of 90 satellite scenes. While some land cover change may be detected in the FPC processing, this product is not designed to generate clearing layers, and cannot be used to assess clearing or be compared with previous years for change monitoring. The Statewide Landcover and Trees Study (SLATS) produces accurate clearing layers for this purpose. Description: FPC is the percentage of ground area occupied by the vertical projection of foliage. FPC Image (lztmre_capk_e8811_chtm4.img). Image value = FPC 100 (i.e. FPC of 5% = image value of 105). The pixel values in this data set represent the predicted Foliage Projective Cover (FPC) values. Range is 100-200 which is equivalent to 0-100% FPC. Values erroneously predicted above 100% or below 0% have been classed as 200 and 100 respectively. Zero values indicate null data. A number of datasets have been used to mask out certain features from the FPC dataset: - Cropping and plantation areas have been masked using the 1999 Queensland Land Use Mapping Program (QLUMP) dataset (https://www.qld.gov.au/environment/land/vegetation/mapping/qlump/). - A Landsat-derived water index was used to mask water bodies from each individual FPC image (Danaher and Collett 2006). An additional mask is applied for areas with persistent inundation based on multi-temporal analysis of the water index. - A topographic correction based on the 1 second SRTM derived Digital Surface Model, Version 1.0, was applied to misclassified steep east-facing slopes. The SRTM data consisted of a DEM and slope layer as processed by Geosciences Australia. Spatial Data Format Foliage projective cover 2011 - Cape York documentDigital Foliage Projective Cover (FPC) is the percentage of ground area occupied by the vertical projection of foliage. The Remote Sensing Centre FPC mapping is based on an automated decision tree classification technique applied to dry season (May to October) Landsat 5 TM imagery for the period 1986-2011. The product has a nominal accuracy of 85%. The field data used to calibrate the imagery/FPC relationship was mostly collected over the period 1996-1999. Additional corrections were also applied to the final product to remove errors due to topographic effects, cloud, cloud shadow, water, cropping, regrowth and wooded vegetation clearing. Some errors may remain. This product has more precise FPC predictions than previous versions. The analysis has been completed on each of 90 satellite scenes. While some land cover change may be detected in the FPC processing, this product is not designed to generate clearing layers, and cannot be used to assess clearing or be compared with previous years for change monitoring. The Statewide Landcover and Trees Study (SLATS) produces accurate clearing layers for this purpose. Description: FPC is the percentage of ground area occupied by the vertical projection of foliage. FPC Image (lztmre_capy_e8811_chtm4.img). Image value = FPC 100 (i.e. FPC of 5% = image value of 105). The pixel values in this data set represent the predicted Foliage Projective Cover (FPC) values. Range is 100-200 which is equivalent to 0-100% FPC. Values erroneously predicted above 100% or below 0% have been classed as 200 and 100 respectively. Zero values indicate null data. A number of datasets have been used to mask out certain features from the FPC dataset: - Cropping and plantation areas have been masked using the 1999 Queensland Land Use Mapping Program (QLUMP) dataset (https://www.qld.gov.au/environment/land/vegetation/mapping/qlump/). - A Landsat-derived water index was used to mask water bodies from each individual FPC image (Danaher and Collett 2006). An additional mask is applied for areas with persistent inundation based on multi-temporal analysis of the water index. - A topographic correction based on the 1 second SRTM derived Digital Surface Model, Version 1.0, was applied to misclassified steep east-facing slopes. The SRTM data consisted of a DEM and slope layer as processed by Geosciences Australia. Spatial Data Format Foliage projective cover 2011 - Carlo documentDigital Foliage Projective Cover (FPC) is the percentage of ground area occupied by the vertical projection of foliage. The Remote Sensing Centre FPC mapping is based on an automated decision tree classification technique applied to dry season (May to October) Landsat 5 TM imagery for the period 1986-2011. The product has a nominal accuracy of 85%. The field data used to calibrate the imagery/FPC relationship was mostly collected over the period 1996-1999. Additional corrections were also applied to the final product to remove errors due to topographic effects, cloud, cloud shadow, water, cropping, regrowth and wooded vegetation clearing. Some errors may remain. This product has more precise FPC predictions than previous versions. The analysis has been completed on each of 90 satellite scenes. While some land cover change may be detected in the FPC processing, this product is not designed to generate clearing layers, and cannot be used to assess clearing or be compared with previous years for change monitoring. The Statewide Landcover and Trees Study (SLATS) produces accurate clearing layers for this purpose. Description: FPC is the percentage of ground area occupied by the vertical projection of foliage. FPC Image (lztmre_carl_e8811_chtm4.img). Image value = FPC 100 (i.e. FPC of 5% = image value of 105). The pixel values in this data set represent the predicted Foliage Projective Cover (FPC) values. Range is 100-200 which is equivalent to 0-100% FPC. Values erroneously predicted above 100% or below 0% have been classed as 200 and 100 respectively. Zero values indicate null data. A number of datasets have been used to mask out certain features from the FPC dataset: - Cropping and plantation areas have been masked using the 1999 Queensland Land Use Mapping Program (QLUMP) dataset (https://www.qld.gov.au/environment/land/vegetation/mapping/qlump/). - A Landsat-derived water index was used to mask water bodies from each individual FPC image (Danaher and Collett 2006). An additional mask is applied for areas with persistent inundation based on multi-temporal analysis of the water index. - A topographic correction based on the 1 second SRTM derived Digital Surface Model, Version 1.0, was applied to misclassified steep east-facing slopes. The SRTM data consisted of a DEM and slope layer as processed by Geosciences Australia. Spatial Data Format Foliage projective cover 2011 - Carnarvon documentDigital Foliage Projective Cover (FPC) is the percentage of ground area occupied by the vertical projection of foliage. The Remote Sensing Centre FPC mapping is based on an automated decision tree classification technique applied to dry season (May to October) Landsat 5 TM imagery for the period 1986-2011. The product has a nominal accuracy of 85%. The field data used to calibrate the imagery/FPC relationship was mostly collected over the period 1996-1999. Additional corrections were also applied to the final product to remove errors due to topographic effects, cloud, cloud shadow, water, cropping, regrowth and wooded vegetation clearing. Some errors may remain. This product has more precise FPC predictions than previous versions. The analysis has been completed on each of 90 satellite scenes. While some land cover change may be detected in the FPC processing, this product is not designed to generate clearing layers, and cannot be used to assess clearing or be compared with previous years for change monitoring. The Statewide Landcover and Trees Study (SLATS) produces accurate clearing layers for this purpose. Description: FPC is the percentage of ground area occupied by the vertical projection of foliage. FPC Image (lztmre_carn_e8811_chtm5.img). Image value = FPC 100 (i.e. FPC of 5% = image value of 105). The pixel values in this data set represent the predicted Foliage Projective Cover (FPC) values. Range is 100-200 which is equivalent to 0-100% FPC. Values erroneously predicted above 100% or below 0% have been classed as 200 and 100 respectively. Zero values indicate null data. A number of datasets have been used to mask out certain features from the FPC dataset: - Cropping and plantation areas have been masked using the 1999 Queensland Land Use Mapping Program (QLUMP) dataset (https://www.qld.gov.au/environment/land/vegetation/mapping/qlump/). - A Landsat-derived water index was used to mask water bodies from each individual FPC image (Danaher and Collett 2006). An additional mask is applied for areas with persistent inundation based on multi-temporal analysis of the water index. - A topographic correction based on the 1 second SRTM derived Digital Surface Model, Version 1.0, was applied to misclassified steep east-facing slopes. The SRTM data consisted of a DEM and slope layer as processed by Geosciences Australia. Spatial Data Format Foliage projective cover 2011 - Charleville documentDigital Foliage Projective Cover (FPC) is the percentage of ground area occupied by the vertical projection of foliage. The Remote Sensing Centre FPC mapping is based on an automated decision tree classification technique applied to dry season (May to October) Landsat 5 TM imagery for the period 1986-2011. The product has a nominal accuracy of 85%. The field data used to calibrate the imagery/FPC relationship was mostly collected over the period 1996-1999. Additional corrections were also applied to the final product to remove errors due to topographic effects, cloud, cloud shadow, water, cropping, regrowth and wooded vegetation clearing. Some errors may remain. This product has more precise FPC predictions than previous versions. The analysis has been completed on each of 90 satellite scenes. While some land cover change may be detected in the FPC processing, this product is not designed to generate clearing layers, and cannot be used to assess clearing or be compared with previous years for change monitoring. The Statewide Landcover and Trees Study (SLATS) produces accurate clearing layers for this purpose. Description: FPC is the percentage of ground area occupied by the vertical projection of foliage. FPC Image (lztmre_char_e8811_chtm5.img). Image value = FPC 100 (i.e. FPC of 5% = image value of 105). The pixel values in this data set represent the predicted Foliage Projective Cover (FPC) values. Range is 100-200 which is equivalent to 0-100% FPC. Values erroneously predicted above 100% or below 0% have been classed as 200 and 100 respectively. Zero values indicate null data. A number of datasets have been used to mask out certain features from the FPC dataset: - Cropping and plantation areas have been masked using the 1999 Queensland Land Use Mapping Program (QLUMP) dataset (https://www.qld.gov.au/environment/land/vegetation/mapping/qlump/). - A Landsat-derived water index was used to mask water bodies from each individual FPC image (Danaher and Collett 2006). An additional mask is applied for areas with persistent inundation based on multi-temporal analysis of the water index. - A topographic correction based on the 1 second SRTM derived Digital Surface Model, Version 1.0, was applied to misclassified steep east-facing slopes. The SRTM data consisted of a DEM and slope layer as processed by Geosciences Australia. Spatial Data Format Foliage projective cover 2011 - Charters Towers documentDigital Foliage Projective Cover (FPC) is the percentage of ground area occupied by the vertical projection of foliage. The Remote Sensing Centre FPC mapping is based on an automated decision tree classification technique applied to dry season (May to October) Landsat 5 TM imagery for the period 1986-2011. The product has a nominal accuracy of 85%. The field data used to calibrate the imagery/FPC relationship was mostly collected over the period 1996-1999. Additional corrections were also applied to the final product to remove errors due to topographic effects, cloud, cloud shadow, water, cropping, regrowth and wooded vegetation clearing. Some errors may remain. This product has more precise FPC predictions than previous versions. The analysis has been completed on each of 90 satellite scenes. While some land cover change may be detected in the FPC processing, this product is not designed to generate clearing layers, and cannot be used to assess clearing or be compared with previous years for change monitoring. The Statewide Landcover and Trees Study (SLATS) produces accurate clearing layers for this purpose. Description: FPC is the percentage of ground area occupied by the vertical projection of foliage. FPC Image (lztmre_chat_e8811_chtm5.img). Image value = FPC 100 (i.e. FPC of 5% = image value of 105). The pixel values in this data set represent the predicted Foliage Projective Cover (FPC) values. Range is 100-200 which is equivalent to 0-100% FPC. Values erroneously predicted above 100% or below 0% have been classed as 200 and 100 respectively. Zero values indicate null data. A number of datasets have been used to mask out certain features from the FPC dataset: - Cropping and plantation areas have been masked using the 1999 Queensland Land Use Mapping Program (QLUMP) dataset (https://www.qld.gov.au/environment/land/vegetation/mapping/qlump/). - A Landsat-derived water index was used to mask water bodies from each individual FPC image (Danaher and Collett 2006). An additional mask is applied for areas with persistent inundation based on multi-temporal analysis of the water index. - A topographic correction based on the 1 second SRTM derived Digital Surface Model, Version 1.0, was applied to misclassified steep east-facing slopes. The SRTM data consisted of a DEM and slope layer as processed by Geosciences Australia. Spatial Data Format Foliage projective cover 2011 - Chinchilla documentDigital Foliage Projective Cover (FPC) is the percentage of ground area occupied by the vertical projection of foliage. The Remote Sensing Centre FPC mapping is based on an automated decision tree classification technique applied to dry season (May to October) Landsat 5 TM imagery for the period 1986-2011. The product has a nominal accuracy of 85%. The field data used to calibrate the imagery/FPC relationship was mostly collected over the period 1996-1999. Additional corrections were also applied to the final product to remove errors due to topographic effects, cloud, cloud shadow, water, cropping, regrowth and wooded vegetation clearing. Some errors may remain. This product has more precise FPC predictions than previous versions. The analysis has been completed on each of 90 satellite scenes. While some land cover change may be detected in the FPC processing, this product is not designed to generate clearing layers, and cannot be used to assess clearing or be compared with previous years for change monitoring. The Statewide Landcover and Trees Study (SLATS) produces accurate clearing layers for this purpose. Description: FPC is the percentage of ground area occupied by the vertical projection of foliage. FPC Image (lztmre_chin_e8811_chtm6.img). Image value = FPC 100 (i.e. FPC of 5% = image value of 105). The pixel values in this data set represent the predicted Foliage Projective Cover (FPC) values. Range is 100-200 which is equivalent to 0-100% FPC. Values erroneously predicted above 100% or below 0% have been classed as 200 and 100 respectively. Zero values indicate null data. A number of datasets have been used to mask out certain features from the FPC dataset: - Cropping and plantation areas have been masked using the 1999 Queensland Land Use Mapping Program (QLUMP) dataset (https://www.qld.gov.au/environment/land/vegetation/mapping/qlump/). - A Landsat-derived water index was used to mask water bodies from each individual FPC image (Danaher and Collett 2006). An additional mask is applied for areas with persistent inundation based on multi-temporal analysis of the water index. - A topographic correction based on the 1 second SRTM derived Digital Surface Model, Version 1.0, was applied to misclassified steep east-facing slopes. The SRTM data consisted of a DEM and slope layer as processed by Geosciences Australia. Spatial Data Format Foliage projective cover 2011 - Cloncurry documentDigital Foliage Projective Cover (FPC) is the percentage of ground area occupied by the vertical projection of foliage. The Remote Sensing Centre FPC mapping is based on an automated decision tree classification technique applied to dry season (May to October) Landsat 5 TM imagery for the period 1986-2011. The product has a nominal accuracy of 85%. The field data used to calibrate the imagery/FPC relationship was mostly collected over the period 1996-1999. Additional corrections were also applied to the final product to remove errors due to topographic effects, cloud, cloud shadow, water, cropping, regrowth and wooded vegetation clearing. Some errors may remain. This product has more precise FPC predictions than previous versions. The analysis has been completed on each of 90 satellite scenes. While some land cover change may be detected in the FPC processing, this product is not designed to generate clearing layers, and cannot be used to assess clearing or be compared with previous years for change monitoring. The Statewide Landcover and Trees Study (SLATS) produces accurate clearing layers for this purpose. Description: FPC is the percentage of ground area occupied by the vertical projection of foliage. FPC Image (lztmre_clon_e8811_chtm4.img). Image value = FPC 100 (i.e. FPC of 5% = image value of 105). The pixel values in this data set represent the predicted Foliage Projective Cover (FPC) values. Range is 100-200 which is equivalent to 0-100% FPC. Values erroneously predicted above 100% or below 0% have been classed as 200 and 100 respectively. Zero values indicate null data. A number of datasets have been used to mask out certain features from the FPC dataset: - Cropping and plantation areas have been masked using the 1999 Queensland Land Use Mapping Program (QLUMP) dataset (https://www.qld.gov.au/environment/land/vegetation/mapping/qlump/). - A Landsat-derived water index was used to mask water bodies from each individual FPC image (Danaher and Collett 2006). An additional mask is applied for areas with persistent inundation based on multi-temporal analysis of the water index. - A topographic correction based on the 1 second SRTM derived Digital Surface Model, Version 1.0, was applied to misclassified steep east-facing slopes. The SRTM data consisted of a DEM and slope layer as processed by Geosciences Australia. Spatial Data Format Foliage projective cover 2011 - Cooktown documentDigital Foliage Projective Cover (FPC) is the percentage of ground area occupied by the vertical projection of foliage. The Remote Sensing Centre FPC mapping is based on an automated decision tree classification technique applied to dry season (May to October) Landsat 5 TM imagery for the period 1986-2011. The product has a nominal accuracy of 85%. The field data used to calibrate the imagery/FPC relationship was mostly collected over the period 1996-1999. Additional corrections were also applied to the final product to remove errors due to topographic effects, cloud, cloud shadow, water, cropping, regrowth and wooded vegetation clearing. Some errors may remain. This product has more precise FPC predictions than previous versions. The analysis has been completed on each of 90 satellite scenes. While some land cover change may be detected in the FPC processing, this product is not designed to generate clearing layers, and cannot be used to assess clearing or be compared with previous years for change monitoring. The Statewide Landcover and Trees Study (SLATS) produces accurate clearing layers for this purpose. Description: FPC is the percentage of ground area occupied by the vertical projection of foliage. FPC Image (lztmre_cook_e8811_chtm5.img). Image value = FPC 100 (i.e. FPC of 5% = image value of 105). The pixel values in this data set represent the predicted Foliage Projective Cover (FPC) values. Range is 100-200 which is equivalent to 0-100% FPC. Values erroneously predicted above 100% or below 0% have been classed as 200 and 100 respectively. Zero values indicate null data. A number of datasets have been used to mask out certain features from the FPC dataset: - Cropping and plantation areas have been masked using the 1999 Queensland Land Use Mapping Program (QLUMP) dataset (https://www.qld.gov.au/environment/land/vegetation/mapping/qlump/). - A Landsat-derived water index was used to mask water bodies from each individual FPC image (Danaher and Collett 2006). An additional mask is applied for areas with persistent inundation based on multi-temporal analysis of the water index. - A topographic correction based on the 1 second SRTM derived Digital Surface Model, Version 1.0, was applied to misclassified steep east-facing slopes. The SRTM data consisted of a DEM and slope layer as processed by Geosciences Australia. Spatial Data Format Foliage projective cover 2011 - Cunnamulla documentDigital Foliage Projective Cover (FPC) is the percentage of ground area occupied by the vertical projection of foliage. The Remote Sensing Centre FPC mapping is based on an automated decision tree classification technique applied to dry season (May to October) Landsat 5 TM imagery for the period 1986-2011. The product has a nominal accuracy of 85%. The field data used to calibrate the imagery/FPC relationship was mostly collected over the period 1996-1999. Additional corrections were also applied to the final product to remove errors due to topographic effects, cloud, cloud shadow, water, cropping, regrowth and wooded vegetation clearing. Some errors may remain. This product has more precise FPC predictions than previous versions. The analysis has been completed on each of 90 satellite scenes. While some land cover change may be detected in the FPC processing, this product is not designed to generate clearing layers, and cannot be used to assess clearing or be compared with previous years for change monitoring. The Statewide Landcover and Trees Study (SLATS) produces accurate clearing layers for this purpose. Description: FPC is the percentage of ground area occupied by the vertical projection of foliage. FPC Image (lztmre_cunn_e8811_chtm5.img). Image value = FPC 100 (i.e. FPC of 5% = image value of 105). The pixel values in this data set represent the predicted Foliage Projective Cover (FPC) values. Range is 100-200 which is equivalent to 0-100% FPC. Values erroneously predicted above 100% or below 0% have been classed as 200 and 100 respectively. Zero values indicate null data. A number of datasets have been used to mask out certain features from the FPC dataset: - Cropping and plantation areas have been masked using the 1999 Queensland Land Use Mapping Program (QLUMP) dataset (https://www.qld.gov.au/environment/land/vegetation/mapping/qlump/). - A Landsat-derived water index was used to mask water bodies from each individual FPC image (Danaher and Collett 2006). An additional mask is applied for areas with persistent inundation based on multi-temporal analysis of the water index. - A topographic correction based on the 1 second SRTM derived Digital Surface Model, Version 1.0, was applied to misclassified steep east-facing slopes. The SRTM data consisted of a DEM and slope layer as processed by Geosciences Australia. Spatial Data Format Foliage projective cover 2011 - Delta Downs documentDigital Foliage Projective Cover (FPC) is the percentage of ground area occupied by the vertical projection of foliage. The Remote Sensing Centre FPC mapping is based on an automated decision tree classification technique applied to dry season (May to October) Landsat 5 TM imagery for the period 1986-2011. The product has a nominal accuracy of 85%. The field data used to calibrate the imagery/FPC relationship was mostly collected over the period 1996-1999. Additional corrections were also applied to the final product to remove errors due to topographic effects, cloud, cloud shadow, water, cropping, regrowth and wooded vegetation clearing. Some errors may remain. This product has more precise FPC predictions than previous versions. The analysis has been completed on each of 90 satellite scenes. While some land cover change may be detected in the FPC processing, this product is not designed to generate clearing layers, and cannot be used to assess clearing or be compared with previous years for change monitoring. The Statewide Landcover and Trees Study (SLATS) produces accurate clearing layers for this purpose. Description: FPC is the percentage of ground area occupied by the vertical projection of foliage. FPC Image (lztmre_delt_e8811_chtm4.img). Image value = FPC 100 (i.e. FPC of 5% = image value of 105). The pixel values in this data set represent the predicted Foliage Projective Cover (FPC) values. Range is 100-200 which is equivalent to 0-100% FPC. Values erroneously predicted above 100% or below 0% have been classed as 200 and 100 respectively. Zero values indicate null data. A number of datasets have been used to mask out certain features from the FPC dataset: - Cropping and plantation areas have been masked using the 1999 Queensland Land Use Mapping Program (QLUMP) dataset (https://www.qld.gov.au/environment/land/vegetation/mapping/qlump/). - A Landsat-derived water index was used to mask water bodies from each individual FPC image (Danaher and Collett 2006). An additional mask is applied for areas with persistent inundation based on multi-temporal analysis of the water index. - A topographic correction based on the 1 second SRTM derived Digital Surface Model, Version 1.0, was applied to misclassified steep east-facing slopes. The SRTM data consisted of a DEM and slope layer as processed by Geosciences Australia. Spatial Data Format Foliage projective cover 2011 - Dirranbandi documentDigital Foliage Projective Cover (FPC) is the percentage of ground area occupied by the vertical projection of foliage. The Remote Sensing Centre FPC mapping is based on an automated decision tree classification technique applied to dry season (May to October) Landsat 5 TM imagery for the period 1986-2011. The product has a nominal accuracy of 85%. The field data used to calibrate the imagery/FPC relationship was mostly collected over the period 1996-1999. Additional corrections were also applied to the final product to remove errors due to topographic effects, cloud, cloud shadow, water, cropping, regrowth and wooded vegetation clearing. Some errors may remain. This product has more precise FPC predictions than previous versions. The analysis has been completed on each of 90 satellite scenes. While some land cover change may be detected in the FPC processing, this product is not designed to generate clearing layers, and cannot be used to assess clearing or be compared with previous years for change monitoring. The Statewide Landcover and Trees Study (SLATS) produces accurate clearing layers for this purpose. Description: FPC is the percentage of ground area occupied by the vertical projection of foliage. FPC Image (lztmre_dirr_e8811_chtm5.img). Image value = FPC 100 (i.e. FPC of 5% = image value of 105). The pixel values in this data set represent the predicted Foliage Projective Cover (FPC) values. Range is 100-200 which is equivalent to 0-100% FPC. Values erroneously predicted above 100% or below 0% have been classed as 200 and 100 respectively. Zero values indicate null data. A number of datasets have been used to mask out certain features from the FPC dataset: - Cropping and plantation areas have been masked using the 1999 Queensland Land Use Mapping Program (QLUMP) dataset (https://www.qld.gov.au/environment/land/vegetation/mapping/qlump/). - A Landsat-derived water index was used to mask water bodies from each individual FPC image (Danaher and Collett 2006). An additional mask is applied for areas with persistent inundation based on multi-temporal analysis of the water index. - A topographic correction based on the 1 second SRTM derived Digital Surface Model, Version 1.0, was applied to misclassified steep east-facing slopes. The SRTM data consisted of a DEM and slope layer as processed by Geosciences Australia. Spatial Data Format Foliage projective cover 2011 - Doomadgee documentDigital Foliage Projective Cover (FPC) is the percentage of ground area occupied by the vertical projection of foliage. The Remote Sensing Centre FPC mapping is based on an automated decision tree classification technique applied to dry season (May to October) Landsat 5 TM imagery for the period 1986-2011. The product has a nominal accuracy of 85%. The field data used to calibrate the imagery/FPC relationship was mostly collected over the period 1996-1999. Additional corrections were also applied to the final product to remove errors due to topographic effects, cloud, cloud shadow, water, cropping, regrowth and wooded vegetation clearing. Some errors may remain. This product has more precise FPC predictions than previous versions. The analysis has been completed on each of 90 satellite scenes. While some land cover change may be detected in the FPC processing, this product is not designed to generate clearing layers, and cannot be used to assess clearing or be compared with previous years for change monitoring. The Statewide Landcover and Trees Study (SLATS) produces accurate clearing layers for this purpose. Description: FPC is the percentage of ground area occupied by the vertical projection of foliage. FPC Image (lztmre_doom_e8811_chtm4.img). Image value = FPC 100 (i.e. FPC of 5% = image value of 105). The pixel values in this data set represent the predicted Foliage Projective Cover (FPC) values. Range is 100-200 which is equivalent to 0-100% FPC. Values erroneously predicted above 100% or below 0% have been classed as 200 and 100 respectively. Zero values indicate null data. A number of datasets have been used to mask out certain features from the FPC dataset: - Cropping and plantation areas have been masked using the 1999 Queensland Land Use Mapping Program (QLUMP) dataset (https://www.qld.gov.au/environment/land/vegetation/mapping/qlump/). - A Landsat-derived water index was used to mask water bodies from each individual FPC image (Danaher and Collett 2006). An additional mask is applied for areas with persistent inundation based on multi-temporal analysis of the water index. - A topographic correction based on the 1 second SRTM derived Digital Surface Model, Version 1.0, was applied to misclassified steep east-facing slopes. The SRTM data consisted of a DEM and slope layer as processed by Geosciences Australia. Spatial Data Format Foliage projective cover 2011 - Dynamite Creek documentDigital Foliage Projective Cover (FPC) is the percentage of ground area occupied by the vertical projection of foliage. The Remote Sensing Centre FPC mapping is based on an automated decision tree classification technique applied to dry season (May to October) Landsat 5 TM imagery for the period 1986-2011. The product has a nominal accuracy of 85%. The field data used to calibrate the imagery/FPC relationship was mostly collected over the period 1996-1999. Additional corrections were also applied to the final product to remove errors due to topographic effects, cloud, cloud shadow, water, cropping, regrowth and wooded vegetation clearing. Some errors may remain. This product has more precise FPC predictions than previous versions. The analysis has been completed on each of 90 satellite scenes. While some land cover change may be detected in the FPC processing, this product is not designed to generate clearing layers, and cannot be used to assess clearing or be compared with previous years for change monitoring. The Statewide Landcover and Trees Study (SLATS) produces accurate clearing layers for this purpose. Description: FPC is the percentage of ground area occupied by the vertical projection of foliage. FPC Image (lztmre_dyna_e8811_chtm3.img). Image value = FPC 100 (i.e. FPC of 5% = image value of 105). The pixel values in this data set represent the predicted Foliage Projective Cover (FPC) values. Range is 100-200 which is equivalent to 0-100% FPC. Values erroneously predicted above 100% or below 0% have been classed as 200 and 100 respectively. Zero values indicate null data. A number of datasets have been used to mask out certain features from the FPC dataset: - Cropping and plantation areas have been masked using the 1999 Queensland Land Use Mapping Program (QLUMP) dataset (https://www.qld.gov.au/environment/land/vegetation/mapping/qlump/). - A Landsat-derived water index was used to mask water bodies from each individual FPC image (Danaher and Collett 2006). An additional mask is applied for areas with persistent inundation based on multi-temporal analysis of the water index. - A topographic correction based on the 1 second SRTM derived Digital Surface Model, Version 1.0, was applied to misclassified steep east-facing slopes. The SRTM data consisted of a DEM and slope layer as processed by Geosciences Australia. Spatial Data Format Foliage projective cover 2011 - Emerald documentDigital Foliage Projective Cover (FPC) is the percentage of ground area occupied by the vertical projection of foliage. The Remote Sensing Centre FPC mapping is based on an automated decision tree classification technique applied to dry season (May to October) Landsat 5 TM imagery for the period 1986-2011. The product has a nominal accuracy of 85%. The field data used to calibrate the imagery/FPC relationship was mostly collected over the period 1996-1999. Additional corrections were also applied to the final product to remove errors due to topographic effects, cloud, cloud shadow, water, cropping, regrowth and wooded vegetation clearing. Some errors may remain. This product has more precise FPC predictions than previous versions. The analysis has been completed on each of 90 satellite scenes. While some land cover change may be detected in the FPC processing, this product is not designed to generate clearing layers, and cannot be used to assess clearing or be compared with previous years for change monitoring. The Statewide Landcover and Trees Study (SLATS) produces accurate clearing layers for this purpose. Description: FPC is the percentage of ground area occupied by the vertical projection of foliage. FPC Image (lztmre_emer_e8811_chtm5.img). Image value = FPC 100 (i.e. FPC of 5% = image value of 105). The pixel values in this data set represent the predicted Foliage Projective Cover (FPC) values. Range is 100-200 which is equivalent to 0-100% FPC. Values erroneously predicted above 100% or below 0% have been classed as 200 and 100 respectively. Zero values indicate null data. A number of datasets have been used to mask out certain features from the FPC dataset: - Cropping and plantation areas have been masked using the 1999 Queensland Land Use Mapping Program (QLUMP) dataset (https://www.qld.gov.au/environment/land/vegetation/mapping/qlump/). - A Landsat-derived water index was used to mask water bodies from each individual FPC image (Danaher and Collett 2006). An additional mask is applied for areas with persistent inundation based on multi-temporal analysis of the water index. - A topographic correction based on the 1 second SRTM derived Digital Surface Model, Version 1.0, was applied to misclassified steep east-facing slopes. The SRTM data consisted of a DEM and slope layer as processed by Geosciences Australia. Spatial Data Format Foliage projective cover 2011 - Eromanga documentDigital Foliage Projective Cover (FPC) is the percentage of ground area occupied by the vertical projection of foliage. The Remote Sensing Centre FPC mapping is based on an automated decision tree classification technique applied to dry season (May to October) Landsat 5 TM imagery for the period 1986-2011. The product has a nominal accuracy of 85%. The field data used to calibrate the imagery/FPC relationship was mostly collected over the period 1996-1999. Additional corrections were also applied to the final product to remove errors due to topographic effects, cloud, cloud shadow, water, cropping, regrowth and wooded vegetation clearing. Some errors may remain. This product has more precise FPC predictions than previous versions. The analysis has been completed on each of 90 satellite scenes. While some land cover change may be detected in the FPC processing, this product is not designed to generate clearing layers, and cannot be used to assess clearing or be compared with previous years for change monitoring. The Statewide Landcover and Trees Study (SLATS) produces accurate clearing layers for this purpose. Description: FPC is the percentage of ground area occupied by the vertical projection of foliage. FPC Image (lztmre_erom_e8811_chtm4.img). Image value = FPC 100 (i.e. FPC of 5% = image value of 105). The pixel values in this data set represent the predicted Foliage Projective Cover (FPC) values. Range is 100-200 which is equivalent to 0-100% FPC. Values erroneously predicted above 100% or below 0% have been classed as 200 and 100 respectively. Zero values indicate null data. A number of datasets have been used to mask out certain features from the FPC dataset: - Cropping and plantation areas have been masked using the 1999 Queensland Land Use Mapping Program (QLUMP) dataset (https://www.qld.gov.au/environment/land/vegetation/mapping/qlump/). - A Landsat-derived water index was used to mask water bodies from each individual FPC image (Danaher and Collett 2006). An additional mask is applied for areas with persistent inundation based on multi-temporal analysis of the water index. - A topographic correction based on the 1 second SRTM derived Digital Surface Model, Version 1.0, was applied to misclassified steep east-facing slopes. The SRTM data consisted of a DEM and slope layer as processed by Geosciences Australia. Spatial Data Format Foliage projective cover 2011 - Fraser Island documentDigital Foliage Projective Cover (FPC) is the percentage of ground area occupied by the vertical projection of foliage. The Remote Sensing Centre FPC mapping is based on an automated decision tree classification technique applied to dry season (May to October) Landsat 5 TM imagery for the period 1986-2011. The product has a nominal accuracy of 85%. The field data used to calibrate the imagery/FPC relationship was mostly collected over the period 1996-1999. Additional corrections were also applied to the final product to remove errors due to topographic effects, cloud, cloud shadow, water, cropping, regrowth and wooded vegetation clearing. Some errors may remain. This product has more precise FPC predictions than previous versions. The analysis has been completed on each of 90 satellite scenes. While some land cover change may be detected in the FPC processing, this product is not designed to generate clearing layers, and cannot be used to assess clearing or be compared with previous years for change monitoring. The Statewide Landcover and Trees Study (SLATS) produces accurate clearing layers for this purpose. Description: FPC is the percentage of ground area occupied by the vertical projection of foliage. FPC Image (lztmre_fras_e8811_chtm6.img). Image value = FPC 100 (i.e. FPC of 5% = image value of 105). The pixel values in this data set represent the predicted Foliage Projective Cover (FPC) values. Range is 100-200 which is equivalent to 0-100% FPC. Values erroneously predicted above 100% or below 0% have been classed as 200 and 100 respectively. Zero values indicate null data. A number of datasets have been used to mask out certain features from the FPC dataset: - Cropping and plantation areas have been masked using the 1999 Queensland Land Use Mapping Program (QLUMP) dataset (https://www.qld.gov.au/environment/land/vegetation/mapping/qlump/). - A Landsat-derived water index was used to mask water bodies from each individual FPC image (Danaher and Collett 2006). An additional mask is applied for areas with persistent inundation based on multi-temporal analysis of the water index. - A topographic correction based on the 1 second SRTM derived Digital Surface Model, Version 1.0, was applied to misclassified steep east-facing slopes. The SRTM data consisted of a DEM and slope layer as processed by Geosciences Australia. Spatial Data Format Foliage projective cover 2011 - Georgetown documentDigital Foliage Projective Cover (FPC) is the percentage of ground area occupied by the vertical projection of foliage. The Remote Sensing Centre FPC mapping is based on an automated decision tree classification technique applied to dry season (May to October) Landsat 5 TM imagery for the period 1986-2011. The product has a nominal accuracy of 85%. The field data used to calibrate the imagery/FPC relationship was mostly collected over the period 1996-1999. Additional corrections were also applied to the final product to remove errors due to topographic effects, cloud, cloud shadow, water, cropping, regrowth and wooded vegetation clearing. Some errors may remain. This product has more precise FPC predictions than previous versions. The analysis has been completed on each of 90 satellite scenes. While some land cover change may be detected in the FPC processing, this product is not designed to generate clearing layers, and cannot be used to assess clearing or be compared with previous years for change monitoring. The Statewide Landcover and Trees Study (SLATS) produces accurate clearing layers for this purpose. Description: FPC is the percentage of ground area occupied by the vertical projection of foliage. FPC Image (lztmre_geor_e8811_chtm4.img). Image value = FPC 100 (i.e. FPC of 5% = image value of 105). The pixel values in this data set represent the predicted Foliage Projective Cover (FPC) values. Range is 100-200 which is equivalent to 0-100% FPC. Values erroneously predicted above 100% or below 0% have been classed as 200 and 100 respectively. Zero values indicate null data. A number of datasets have been used to mask out certain features from the FPC dataset: - Cropping and plantation areas have been masked using the 1999 Queensland Land Use Mapping Program (QLUMP) dataset (https://www.qld.gov.au/environment/land/vegetation/mapping/qlump/). - A Landsat-derived water index was used to mask water bodies from each individual FPC image (Danaher and Collett 2006). An additional mask is applied for areas with persistent inundation based on multi-temporal analysis of the water index. - A topographic correction based on the 1 second SRTM derived Digital Surface Model, Version 1.0, was applied to misclassified steep east-facing slopes. The SRTM data consisted of a DEM and slope layer as processed by Geosciences Australia. Spatial Data Format Foliage projective cover 2011 - Gladstone documentDigital Foliage Projective Cover (FPC) is the percentage of ground area occupied by the vertical projection of foliage. The Remote Sensing Centre FPC mapping is based on an automated decision tree classification technique applied to dry season (May to October) Landsat 5 TM imagery for the period 1986-2011. The product has a nominal accuracy of 85%. The field data used to calibrate the imagery/FPC relationship was mostly collected over the period 1996-1999. Additional corrections were also applied to the final product to remove errors due to topographic effects, cloud, cloud shadow, water, cropping, regrowth and wooded vegetation clearing. Some errors may remain. This product has more precise FPC predictions than previous versions. The analysis has been completed on each of 90 satellite scenes. While some land cover change may be detected in the FPC processing, this product is not designed to generate clearing layers, and cannot be used to assess clearing or be compared with previous years for change monitoring. The Statewide Landcover and Trees Study (SLATS) produces accurate clearing layers for this purpose. Description: FPC is the percentage of ground area occupied by the vertical projection of foliage. FPC Image (lztmre_glad_e8811_chtm6.img). Image value = FPC 100 (i.e. FPC of 5% = image value of 105). The pixel values in this data set represent the predicted Foliage Projective Cover (FPC) values. Range is 100-200 which is equivalent to 0-100% FPC. Values erroneously predicted above 100% or below 0% have been classed as 200 and 100 respectively. Zero values indicate null data. A number of datasets have been used to mask out certain features from the FPC dataset: - Cropping and plantation areas have been masked using the 1999 Queensland Land Use Mapping Program (QLUMP) dataset (https://www.qld.gov.au/environment/land/vegetation/mapping/qlump/). - A Landsat-derived water index was used to mask water bodies from each individual FPC image (Danaher and Collett 2006). An additional mask is applied for areas with persistent inundation based on multi-temporal analysis of the water index. - A topographic correction based on the 1 second SRTM derived Digital Surface Model, Version 1.0, was applied to misclassified steep east-facing slopes. The SRTM data consisted of a DEM and slope layer as processed by Geosciences Australia. Spatial Data Format Foliage projective cover 2011 - Glenormiston documentDigital Foliage Projective Cover (FPC) is the percentage of ground area occupied by the vertical projection of foliage. The Remote Sensing Centre FPC mapping is based on an automated decision tree classification technique applied to dry season (May to October) Landsat 5 TM imagery for the period 1986-2011. The product has a nominal accuracy of 85%. The field data used to calibrate the imagery/FPC relationship was mostly collected over the period 1996-1999. Additional corrections were also applied to the final product to remove errors due to topographic effects, cloud, cloud shadow, water, cropping, regrowth and wooded vegetation clearing. Some errors may remain. This product has more precise FPC predictions than previous versions. The analysis has been completed on each of 90 satellite scenes. While some land cover change may be detected in the FPC processing, this product is not designed to generate clearing layers, and cannot be used to assess clearing or be compared with previous years for change monitoring. The Statewide Landcover and Trees Study (SLATS) produces accurate clearing layers for this purpose. Description: FPC is the percentage of ground area occupied by the vertical projection of foliage. FPC Image (lztmre_glen_e8811_chtm4.img). Image value = FPC 100 (i.e. FPC of 5% = image value of 105). The pixel values in this data set represent the predicted Foliage Projective Cover (FPC) values. Range is 100-200 which is equivalent to 0-100% FPC. Values erroneously predicted above 100% or below 0% have been classed as 200 and 100 respectively. Zero values indicate null data. A number of datasets have been used to mask out certain features from the FPC dataset: - Cropping and plantation areas have been masked using the 1999 Queensland Land Use Mapping Program (QLUMP) dataset (https://www.qld.gov.au/environment/land/vegetation/mapping/qlump/). - A Landsat-derived water index was used to mask water bodies from each individual FPC image (Danaher and Collett 2006). An additional mask is applied for areas with persistent inundation based on multi-temporal analysis of the water index. - A topographic correction based on the 1 second SRTM derived Digital Surface Model, Version 1.0, was applied to misclassified steep east-facing slopes. The SRTM data consisted of a DEM and slope layer as processed by Geosciences Australia. Spatial Data Format Foliage projective cover 2011 - Gold Coast documentDigital Foliage Projective Cover (FPC) is the percentage of ground area occupied by the vertical projection of foliage. The Remote Sensing Centre FPC mapping is based on an automated decision tree classification technique applied to dry season (May to October) Landsat 5 TM imagery for the period 1986-2011. The product has a nominal accuracy of 85%. The field data used to calibrate the imagery/FPC relationship was mostly collected over the period 1996-1999. Additional corrections were also applied to the final product to remove errors due to topographic effects, cloud, cloud shadow, water, cropping, regrowth and wooded vegetation clearing. Some errors may remain. This product has more precise FPC predictions than previous versions. The analysis has been completed on each of 90 satellite scenes. While some land cover change may be detected in the FPC processing, this product is not designed to generate clearing layers, and cannot be used to assess clearing or be compared with previous years for change monitoring. The Statewide Landcover and Trees Study (SLATS) produces accurate clearing layers for this purpose. Description: FPC is the percentage of ground area occupied by the vertical projection of foliage. FPC Image (lztmre_gold_e8811_chtm6.img). Image value = FPC 100 (i.e. FPC of 5% = image value of 105). The pixel values in this data set represent the predicted Foliage Projective Cover (FPC) values. Range is 100-200 which is equivalent to 0-100% FPC. Values erroneously predicted above 100% or below 0% have been classed as 200 and 100 respectively. Zero values indicate null data. A number of datasets have been used to mask out certain features from the FPC dataset: - Cropping and plantation areas have been masked using the 1999 Queensland Land Use Mapping Program (QLUMP) dataset (https://www.qld.gov.au/environment/land/vegetation/mapping/qlump/). - A Landsat-derived water index was used to mask water bodies from each individual FPC image (Danaher and Collett 2006). An additional mask is applied for areas with persistent inundation based on multi-temporal analysis of the water index. - A topographic correction based on the 1 second SRTM derived Digital Surface Model, Version 1.0, was applied to misclassified steep east-facing slopes. The SRTM data consisted of a DEM and slope layer as processed by Geosciences Australia. Spatial Data Format Foliage projective cover 2011 - Goondiwindi documentDigital Foliage Projective Cover (FPC) is the percentage of ground area occupied by the vertical projection of foliage. The Remote Sensing Centre FPC mapping is based on an automated decision tree classification technique applied to dry season (May to October) Landsat 5 TM imagery for the period 1986-2011. The product has a nominal accuracy of 85%. The field data used to calibrate the imagery/FPC relationship was mostly collected over the period 1996-1999. Additional corrections were also applied to the final product to remove errors due to topographic effects, cloud, cloud shadow, water, cropping, regrowth and wooded vegetation clearing. Some errors may remain. This product has more precise FPC predictions than previous versions. The analysis has been completed on each of 90 satellite scenes. While some land cover change may be detected in the FPC processing, this product is not designed to generate clearing layers, and cannot be used to assess clearing or be compared with previous years for change monitoring. The Statewide Landcover and Trees Study (SLATS) produces accurate clearing layers for this purpose. Description: FPC is the percentage of ground area occupied by the vertical projection of foliage. FPC Image (lztmre_goon_e8811_chtm5.img). Image value = FPC 100 (i.e. FPC of 5% = image value of 105). The pixel values in this data set represent the predicted Foliage Projective Cover (FPC) values. Range is 100-200 which is equivalent to 0-100% FPC. Values erroneously predicted above 100% or below 0% have been classed as 200 and 100 respectively. Zero values indicate null data. A number of datasets have been used to mask out certain features from the FPC dataset: - Cropping and plantation areas have been masked using the 1999 Queensland Land Use Mapping Program (QLUMP) dataset (https://www.qld.gov.au/environment/land/vegetation/mapping/qlump/). - A Landsat-derived water index was used to mask water bodies from each individual FPC image (Danaher and Collett 2006). An additional mask is applied for areas with persistent inundation based on multi-temporal analysis of the water index. - A topographic correction based on the 1 second SRTM derived Digital Surface Model, Version 1.0, was applied to misclassified steep east-facing slopes. The SRTM data consisted of a DEM and slope layer as processed by Geosciences Australia. Spatial Data Format Foliage projective cover 2011 - Gunpowder documentDigital Foliage Projective Cover (FPC) is the percentage of ground area occupied by the vertical projection of foliage. The Remote Sensing Centre FPC mapping is based on an automated decision tree classification technique applied to dry season (May to October) Landsat 5 TM imagery for the period 1986-2011. The product has a nominal accuracy of 85%. The field data used to calibrate the imagery/FPC relationship was mostly collected over the period 1996-1999. Additional corrections were also applied to the final product to remove errors due to topographic effects, cloud, cloud shadow, water, cropping, regrowth and wooded vegetation clearing. Some errors may remain. This product has more precise FPC predictions than previous versions. The analysis has been completed on each of 90 satellite scenes. While some land cover change may be detected in the FPC processing, this product is not designed to generate clearing layers, and cannot be used to assess clearing or be compared with previous years for change monitoring. The Statewide Landcover and Trees Study (SLATS) produces accurate clearing layers for this purpose. Description: FPC is the percentage of ground area occupied by the vertical projection of foliage. FPC Image (lztmre_gunp_e8811_chtm4.img). Image value = FPC 100 (i.e. FPC of 5% = image value of 105). The pixel values in this data set represent the predicted Foliage Projective Cover (FPC) values. Range is 100-200 which is equivalent to 0-100% FPC. Values erroneously predicted above 100% or below 0% have been classed as 200 and 100 respectively. Zero values indicate null data. A number of datasets have been used to mask out certain features from the FPC dataset: - Cropping and plantation areas have been masked using the 1999 Queensland Land Use Mapping Program (QLUMP) dataset (https://www.qld.gov.au/environment/land/vegetation/mapping/qlump/). - A Landsat-derived water index was used to mask water bodies from each individual FPC image (Danaher and Collett 2006). An additional mask is applied for areas with persistent inundation based on multi-temporal analysis of the water index. - A topographic correction based on the 1 second SRTM derived Digital Surface Model, Version 1.0, was applied to misclassified steep east-facing slopes. The SRTM data consisted of a DEM and slope layer as processed by Geosciences Australia. Spatial Data Format Foliage projective cover 2011 - Haddon Corner documentDigital Foliage Projective Cover (FPC) is the percentage of ground area occupied by the vertical projection of foliage. The Remote Sensing Centre FPC mapping is based on an automated decision tree classification technique applied to dry season (May to October) Landsat 5 TM imagery for the period 1986-2011. The product has a nominal accuracy of 85%. The field data used to calibrate the imagery/FPC relationship was mostly collected over the period 1996-1999. Additional corrections were also applied to the final product to remove errors due to topographic effects, cloud, cloud shadow, water, cropping, regrowth and wooded vegetation clearing. Some errors may remain. This product has more precise FPC predictions than previous versions. The analysis has been completed on each of 90 satellite scenes. While some land cover change may be detected in the FPC processing, this product is not designed to generate clearing layers, and cannot be used to assess clearing or be compared with previous years for change monitoring. The Statewide Landcover and Trees Study (SLATS) produces accurate clearing layers for this purpose. Description: FPC is the percentage of ground area occupied by the vertical projection of foliage. FPC Image (lztmre_hadd_e8811_chtm4.img). Image value = FPC 100 (i.e. FPC of 5% = image value of 105). The pixel values in this data set represent the predicted Foliage Projective Cover (FPC) values. Range is 100-200 which is equivalent to 0-100% FPC. Values erroneously predicted above 100% or below 0% have been classed as 200 and 100 respectively. Zero values indicate null data. A number of datasets have been used to mask out certain features from the FPC dataset: - Cropping and plantation areas have been masked using the 1999 Queensland Land Use Mapping Program (QLUMP) dataset (https://www.qld.gov.au/environment/land/vegetation/mapping/qlump/). - A Landsat-derived water index was used to mask water bodies from each individual FPC image (Danaher and Collett 2006). An additional mask is applied for areas with persistent inundation based on multi-temporal analysis of the water index. - A topographic correction based on the 1 second SRTM derived Digital Surface Model, Version 1.0, was applied to misclassified steep east-facing slopes. The SRTM data consisted of a DEM and slope layer as processed by Geosciences Australia. Spatial Data Format Foliage projective cover 2011 - Hughenden documentDigital Foliage Projective Cover (FPC) is the percentage of ground area occupied by the vertical projection of foliage. The Remote Sensing Centre FPC mapping is based on an automated decision tree classification technique applied to dry season (May to October) Landsat 5 TM imagery for the period 1986-2011. The product has a nominal accuracy of 85%. The field data used to calibrate the imagery/FPC relationship was mostly collected over the period 1996-1999. Additional corrections were also applied to the final product to remove errors due to topographic effects, cloud, cloud shadow, water, cropping, regrowth and wooded vegetation clearing. Some errors may remain. This product has more precise FPC predictions than previous versions. The analysis has been completed on each of 90 satellite scenes. While some land cover change may be detected in the FPC processing, this product is not designed to generate clearing layers, and cannot be used to assess clearing or be compared with previous years for change monitoring. The Statewide Landcover and Trees Study (SLATS) produces accurate clearing layers for this purpose. Description: FPC is the percentage of ground area occupied by the vertical projection of foliage. FPC Image (lztmre_hugh_e8811_chtm4.img). Image value = FPC 100 (i.e. FPC of 5% = image value of 105). The pixel values in this data set represent the predicted Foliage Projective Cover (FPC) values. Range is 100-200 which is equivalent to 0-100% FPC. Values erroneously predicted above 100% or below 0% have been classed as 200 and 100 respectively. Zero values indicate null data. A number of datasets have been used to mask out certain features from the FPC dataset: - Cropping and plantation areas have been masked using the 1999 Queensland Land Use Mapping Program (QLUMP) dataset (https://www.qld.gov.au/environment/land/vegetation/mapping/qlump/). - A Landsat-derived water index was used to mask water bodies from each individual FPC image (Danaher and Collett 2006). An additional mask is applied for areas with persistent inundation based on multi-temporal analysis of the water index. - A topographic correction based on the 1 second SRTM derived Digital Surface Model, Version 1.0, was applied to misclassified steep east-facing slopes. The SRTM data consisted of a DEM and slope layer as processed by Geosciences Australia. Spatial Data Format Foliage projective cover 2011 - Ingham documentDigital Foliage Projective Cover (FPC) is the percentage of ground area occupied by the vertical projection of foliage. The Remote Sensing Centre FPC mapping is based on an automated decision tree classification technique applied to dry season (May to October) Landsat 5 TM imagery for the period 1986-2011. The product has a nominal accuracy of 85%. The field data used to calibrate the imagery/FPC relationship was mostly collected over the period 1996-1999. Additional corrections were also applied to the final product to remove errors due to topographic effects, cloud, cloud shadow, water, cropping, regrowth and wooded vegetation clearing. Some errors may remain. This product has more precise FPC predictions than previous versions. The analysis has been completed on each of 90 satellite scenes. While some land cover change may be detected in the FPC processing, this product is not designed to generate clearing layers, and cannot be used to assess clearing or be compared with previous years for change monitoring. The Statewide Landcover and Trees Study (SLATS) produces accurate clearing layers for this purpose. Description: FPC is the percentage of ground area occupied by the vertical projection of foliage. FPC Image (lztmre_ingh_e8811_chtm5.img). Image value = FPC 100 (i.e. FPC of 5% = image value of 105). The pixel values in this data set represent the predicted Foliage Projective Cover (FPC) values. Range is 100-200 which is equivalent to 0-100% FPC. Values erroneously predicted above 100% or below 0% have been classed as 200 and 100 respectively. Zero values indicate null data. A number of datasets have been used to mask out certain features from the FPC dataset: - Cropping and plantation areas have been masked using the 1999 Queensland Land Use Mapping Program (QLUMP) dataset (https://www.qld.gov.au/environment/land/vegetation/mapping/qlump/). - A Landsat-derived water index was used to mask water bodies from each individual FPC image (Danaher and Collett 2006). An additional mask is applied for areas with persistent inundation based on multi-temporal analysis of the water index. - A topographic correction based on the 1 second SRTM derived Digital Surface Model, Version 1.0, was applied to misclassified steep east-facing slopes. The SRTM data consisted of a DEM and slope layer as processed by Geosciences Australia. Spatial Data Format Foliage projective cover 2011 - Injune documentDigital Foliage Projective Cover (FPC) is the percentage of ground area occupied by the vertical projection of foliage. The Remote Sensing Centre FPC mapping is based on an automated decision tree classification technique applied to dry season (May to October) Landsat 5 TM imagery for the period 1986-2011. The product has a nominal accuracy of 85%. The field data used to calibrate the imagery/FPC relationship was mostly collected over the period 1996-1999. Additional corrections were also applied to the final product to remove errors due to topographic effects, cloud, cloud shadow, water, cropping, regrowth and wooded vegetation clearing. Some errors may remain. This product has more precise FPC predictions than previous versions. The analysis has been completed on each of 90 satellite scenes. While some land cover change may be detected in the FPC processing, this product is not designed to generate clearing layers, and cannot be used to assess clearing or be compared with previous years for change monitoring. The Statewide Landcover and Trees Study (SLATS) produces accurate clearing layers for this purpose. Description: FPC is the percentage of ground area occupied by the vertical projection of foliage. FPC Image (lztmre_inju_e8811_chtm5.img). Image value = FPC 100 (i.e. FPC of 5% = image value of 105). The pixel values in this data set represent the predicted Foliage Projective Cover (FPC) values. Range is 100-200 which is equivalent to 0-100% FPC. Values erroneously predicted above 100% or below 0% have been classed as 200 and 100 respectively. Zero values indicate null data. A number of datasets have been used to mask out certain features from the FPC dataset: - Cropping and plantation areas have been masked using the 1999 Queensland Land Use Mapping Program (QLUMP) dataset (https://www.qld.gov.au/environment/land/vegetation/mapping/qlump/). - A Landsat-derived water index was used to mask water bodies from each individual FPC image (Danaher and Collett 2006). An additional mask is applied for areas with persistent inundation based on multi-temporal analysis of the water index. - A topographic correction based on the 1 second SRTM derived Digital Surface Model, Version 1.0, was applied to misclassified steep east-facing slopes. The SRTM data consisted of a DEM and slope layer as processed by Geosciences Australia. Spatial Data Format Foliage projective cover 2011 - Iron Range National Park documentDigital Foliage Projective Cover (FPC) is the percentage of ground area occupied by the vertical projection of foliage. The Remote Sensing Centre FPC mapping is based on an automated decision tree classification technique applied to dry season (May to October) Landsat 5 TM imagery for the period 1986-2011. The product has a nominal accuracy of 85%. The field data used to calibrate the imagery/FPC relationship was mostly collected over the period 1996-1999. Additional corrections were also applied to the final product to remove errors due to topographic effects, cloud, cloud shadow, water, cropping, regrowth and wooded vegetation clearing. Some errors may remain. This product has more precise FPC predictions than previous versions. The analysis has been completed on each of 90 satellite scenes. While some land cover change may be detected in the FPC processing, this product is not designed to generate clearing layers, and cannot be used to assess clearing or be compared with previous years for change monitoring. The Statewide Landcover and Trees Study (SLATS) produces accurate clearing layers for this purpose. Description: FPC is the percentage of ground area occupied by the vertical projection of foliage. FPC Image (lztmre_iron_e8811_chtm4.img). Image value = FPC 100 (i.e. FPC of 5% = image value of 105). The pixel values in this data set represent the predicted Foliage Projective Cover (FPC) values. Range is 100-200 which is equivalent to 0-100% FPC. Values erroneously predicted above 100% or below 0% have been classed as 200 and 100 respectively. Zero values indicate null data. A number of datasets have been used to mask out certain features from the FPC dataset: - Cropping and plantation areas have been masked using the 1999 Queensland Land Use Mapping Program (QLUMP) dataset (https://www.qld.gov.au/environment/land/vegetation/mapping/qlump/). - A Landsat-derived water index was used to mask water bodies from each individual FPC image (Danaher and Collett 2006). An additional mask is applied for areas with persistent inundation based on multi-temporal analysis of the water index. - A topographic correction based on the 1 second SRTM derived Digital Surface Model, Version 1.0, was applied to misclassified steep east-facing slopes. The SRTM data consisted of a DEM and slope layer as processed by Geosciences Australia. Spatial Data Format Foliage projective cover 2011 - Isisford documentDigital Foliage Projective Cover (FPC) is the percentage of ground area occupied by the vertical projection of foliage. The Remote Sensing Centre FPC mapping is based on an automated decision tree classification technique applied to dry season (May to October) Landsat 5 TM imagery for the period 1986-2011. The product has a nominal accuracy of 85%. The field data used to calibrate the imagery/FPC relationship was mostly collected over the period 1996-1999. Additional corrections were also applied to the final product to remove errors due to topographic effects, cloud, cloud shadow, water, cropping, regrowth and wooded vegetation clearing. Some errors may remain. This product has more precise FPC predictions than previous versions. The analysis has been completed on each of 90 satellite scenes. While some land cover change may be detected in the FPC processing, this product is not designed to generate clearing layers, and cannot be used to assess clearing or be compared with previous years for change monitoring. The Statewide Landcover and Trees Study (SLATS) produces accurate clearing layers for this purpose. Description: FPC is the percentage of ground area occupied by the vertical projection of foliage. FPC Image (lztmre_isis_e8811_chtm5.img). Image value = FPC 100 (i.e. FPC of 5% = image value of 105). The pixel values in this data set represent the predicted Foliage Projective Cover (FPC) values. Range is 100-200 which is equivalent to 0-100% FPC. Values erroneously predicted above 100% or below 0% have been classed as 200 and 100 respectively. Zero values indicate null data. A number of datasets have been used to mask out certain features from the FPC dataset: - Cropping and plantation areas have been masked using the 1999 Queensland Land Use Mapping Program (QLUMP) dataset (https://www.qld.gov.au/environment/land/vegetation/mapping/qlump/). - A Landsat-derived water index was used to mask water bodies from each individual FPC image (Danaher and Collett 2006). An additional mask is applied for areas with persistent inundation based on multi-temporal analysis of the water index. - A topographic correction based on the 1 second SRTM derived Digital Surface Model, Version 1.0, was applied to misclassified steep east-facing slopes. The SRTM data consisted of a DEM and slope layer as processed by Geosciences Australia. Spatial Data Format Foliage projective cover 2011 - Kalinga documentDigital Foliage Projective Cover (FPC) is the percentage of ground area occupied by the vertical projection of foliage. The Remote Sensing Centre FPC mapping is based on an automated decision tree classification technique applied to dry season (May to October) Landsat 5 TM imagery for the period 1986-2011. The product has a nominal accuracy of 85%. The field data used to calibrate the imagery/FPC relationship was mostly collected over the period 1996-1999. Additional corrections were also applied to the final product to remove errors due to topographic effects, cloud, cloud shadow, water, cropping, regrowth and wooded vegetation clearing. Some errors may remain. This product has more precise FPC predictions than previous versions. The analysis has been completed on each of 90 satellite scenes. While some land cover change may be detected in the FPC processing, this product is not designed to generate clearing layers, and cannot be used to assess clearing or be compared with previous years for change monitoring. The Statewide Landcover and Trees Study (SLATS) produces accurate clearing layers for this purpose. Description: FPC is the percentage of ground area occupied by the vertical projection of foliage. FPC Image (lztmre_kali_e8811_chtm4.img). Image value = FPC 100 (i.e. FPC of 5% = image value of 105). The pixel values in this data set represent the predicted Foliage Projective Cover (FPC) values. Range is 100-200 which is equivalent to 0-100% FPC. Values erroneously predicted above 100% or below 0% have been classed as 200 and 100 respectively. Zero values indicate null data. A number of datasets have been used to mask out certain features from the FPC dataset: - Cropping and plantation areas have been masked using the 1999 Queensland Land Use Mapping Program (QLUMP) dataset (https://www.qld.gov.au/environment/land/vegetation/mapping/qlump/). - A Landsat-derived water index was used to mask water bodies from each individual FPC image (Danaher and Collett 2006). An additional mask is applied for areas with persistent inundation based on multi-temporal analysis of the water index. - A topographic correction based on the 1 second SRTM derived Digital Surface Model, Version 1.0, was applied to misclassified steep east-facing slopes. The SRTM data consisted of a DEM and slope layer as processed by Geosciences Australia. Spatial Data Format Foliage projective cover 2011 - Kingaroy documentDigital Foliage Projective Cover (FPC) is the percentage of ground area occupied by the vertical projection of foliage. The Remote Sensing Centre FPC mapping is based on an automated decision tree classification technique applied to dry season (May to October) Landsat 5 TM imagery for the period 1986-2011. The product has a nominal accuracy of 85%. The field data used to calibrate the imagery/FPC relationship was mostly collected over the period 1996-1999. Additional corrections were also applied to the final product to remove errors due to topographic effects, cloud, cloud shadow, water, cropping, regrowth and wooded vegetation clearing. Some errors may remain. This product has more precise FPC predictions than previous versions. The analysis has been completed on each of 90 satellite scenes. While some land cover change may be detected in the FPC processing, this product is not designed to generate clearing layers, and cannot be used to assess clearing or be compared with previous years for change monitoring. The Statewide Landcover and Trees Study (SLATS) produces accurate clearing layers for this purpose. Description: FPC is the percentage of ground area occupied by the vertical projection of foliage. FPC Image (lztmre_king_e8811_chtm6.img). Image value = FPC 100 (i.e. FPC of 5% = image value of 105). The pixel values in this data set represent the predicted Foliage Projective Cover (FPC) values. Range is 100-200 which is equivalent to 0-100% FPC. Values erroneously predicted above 100% or below 0% have been classed as 200 and 100 respectively. Zero values indicate null data. A number of datasets have been used to mask out certain features from the FPC dataset: - Cropping and plantation areas have been masked using the 1999 Queensland Land Use Mapping Program (QLUMP) dataset (https://www.qld.gov.au/environment/land/vegetation/mapping/qlump/). - A Landsat-derived water index was used to mask water bodies from each individual FPC image (Danaher and Collett 2006). An additional mask is applied for areas with persistent inundation based on multi-temporal analysis of the water index. - A topographic correction based on the 1 second SRTM derived Digital Surface Model, Version 1.0, was applied to misclassified steep east-facing slopes. The SRTM data consisted of a DEM and slope layer as processed by Geosciences Australia. Spatial Data Format Foliage projective cover 2011 - Kowanyama documentDigital Foliage Projective Cover (FPC) is the percentage of ground area occupied by the vertical projection of foliage. The Remote Sensing Centre FPC mapping is based on an automated decision tree classification technique applied to dry season (May to October) Landsat 5 TM imagery for the period 1986-2011. The product has a nominal accuracy of 85%. The field data used to calibrate the imagery/FPC relationship was mostly collected over the period 1996-1999. Additional corrections were also applied to the final product to remove errors due to topographic effects, cloud, cloud shadow, water, cropping, regrowth and wooded vegetation clearing. Some errors may remain. This product has more precise FPC predictions than previous versions. The analysis has been completed on each of 90 satellite scenes. While some land cover change may be detected in the FPC processing, this product is not designed to generate clearing layers, and cannot be used to assess clearing or be compared with previous years for change monitoring. The Statewide Landcover and Trees Study (SLATS) produces accurate clearing layers for this purpose. Description: FPC is the percentage of ground area occupied by the vertical projection of foliage. FPC Image (lztmre_kowa_e8811_chtm4.img). Image value = FPC 100 (i.e. FPC of 5% = image value of 105). The pixel values in this data set represent the predicted Foliage Projective Cover (FPC) values. Range is 100-200 which is equivalent to 0-100% FPC. Values erroneously predicted above 100% or below 0% have been classed as 200 and 100 respectively. Zero values indicate null data. A number of datasets have been used to mask out certain features from the FPC dataset: - Cropping and plantation areas have been masked using the 1999 Queensland Land Use Mapping Program (QLUMP) dataset (https://www.qld.gov.au/environment/land/vegetation/mapping/qlump/). - A Landsat-derived water index was used to mask water bodies from each individual FPC image (Danaher and Collett 2006). An additional mask is applied for areas with persistent inundation based on multi-temporal analysis of the water index. - A topographic correction based on the 1 second SRTM derived Digital Surface Model, Version 1.0, was applied to misclassified steep east-facing slopes. The SRTM data consisted of a DEM and slope layer as processed by Geosciences Australia. Spatial Data Format Foliage projective cover 2011 - Kynuna documentDigital Foliage Projective Cover (FPC) is the percentage of ground area occupied by the vertical projection of foliage. The Remote Sensing Centre FPC mapping is based on an automated decision tree classification technique applied to dry season (May to October) Landsat 5 TM imagery for the period 1986-2011. The product has a nominal accuracy of 85%. The field data used to calibrate the imagery/FPC relationship was mostly collected over the period 1996-1999. Additional corrections were also applied to the final product to remove errors due to topographic effects, cloud, cloud shadow, water, cropping, regrowth and wooded vegetation clearing. Some errors may remain. This product has more precise FPC predictions than previous versions. The analysis has been completed on each of 90 satellite scenes. While some land cover change may be detected in the FPC processing, this product is not designed to generate clearing layers, and cannot be used to assess clearing or be compared with previous years for change monitoring. The Statewide Landcover and Trees Study (SLATS) produces accurate clearing layers for this purpose. Description: FPC is the percentage of ground area occupied by the vertical projection of foliage. FPC Image (lztmre_kynu_e8811_chtm4.img). Image value = FPC 100 (i.e. FPC of 5% = image value of 105). The pixel values in this data set represent the predicted Foliage Projective Cover (FPC) values. Range is 100-200 which is equivalent to 0-100% FPC. Values erroneously predicted above 100% or below 0% have been classed as 200 and 100 respectively. Zero values indicate null data. A number of datasets have been used to mask out certain features from the FPC dataset: - Cropping and plantation areas have been masked using the 1999 Queensland Land Use Mapping Program (QLUMP) dataset (https://www.qld.gov.au/environment/land/vegetation/mapping/qlump/). - A Landsat-derived water index was used to mask water bodies from each individual FPC image (Danaher and Collett 2006). An additional mask is applied for areas with persistent inundation based on multi-temporal analysis of the water index. - A topographic correction based on the 1 second SRTM derived Digital Surface Model, Version 1.0, was applied to misclassified steep east-facing slopes. The SRTM data consisted of a DEM and slope layer as processed by Geosciences Australia. Spatial Data Format Foliage projective cover 2011 - Lady Musgrave documentDigital Foliage Projective Cover (FPC) is the percentage of ground area occupied by the vertical projection of foliage. The Remote Sensing Centre FPC mapping is based on an automated decision tree classification technique applied to dry season (May to October) Landsat 5 TM imagery for the period 1986-2011. The product has a nominal accuracy of 85%. The field data used to calibrate the imagery/FPC relationship was mostly collected over the period 1996-1999. Additional corrections were also applied to the final product to remove errors due to topographic effects, cloud, cloud shadow, water, cropping, regrowth and wooded vegetation clearing. Some errors may remain. This product has more precise FPC predictions than previous versions. The analysis has been completed on each of 90 satellite scenes. While some land cover change may be detected in the FPC processing, this product is not designed to generate clearing layers, and cannot be used to assess clearing or be compared with previous years for change monitoring. The Statewide Landcover and Trees Study (SLATS) produces accurate clearing layers for this purpose. Description: FPC is the percentage of ground area occupied by the vertical projection of foliage. FPC Image (lztmre_lady_e8811_chtm6.img). Image value = FPC 100 (i.e. FPC of 5% = image value of 105). The pixel values in this data set represent the predicted Foliage Projective Cover (FPC) values. Range is 100-200 which is equivalent to 0-100% FPC. Values erroneously predicted above 100% or below 0% have been classed as 200 and 100 respectively. Zero values indicate null data. A number of datasets have been used to mask out certain features from the FPC dataset: - Cropping and plantation areas have been masked using the 1999 Queensland Land Use Mapping Program (QLUMP) dataset (https://www.qld.gov.au/environment/land/vegetation/mapping/qlump/). - A Landsat-derived water index was used to mask water bodies from each individual FPC image (Danaher and Collett 2006). An additional mask is applied for areas with persistent inundation based on multi-temporal analysis of the water index. - A topographic correction based on the 1 second SRTM derived Digital Surface Model, Version 1.0, was applied to misclassified steep east-facing slopes. The SRTM data consisted of a DEM and slope layer as processed by Geosciences Australia. Spatial Data Format Foliage projective cover 2011 - Laglan documentDigital Foliage Projective Cover (FPC) is the percentage of ground area occupied by the vertical projection of foliage. The Remote Sensing Centre FPC mapping is based on an automated decision tree classification technique applied to dry season (May to October) Landsat 5 TM imagery for the period 1986-2011. The product has a nominal accuracy of 85%. The field data used to calibrate the imagery/FPC relationship was mostly collected over the period 1996-1999. Additional corrections were also applied to the final product to remove errors due to topographic effects, cloud, cloud shadow, water, cropping, regrowth and wooded vegetation clearing. Some errors may remain. This product has more precise FPC predictions than previous versions. The analysis has been completed on each of 90 satellite scenes. While some land cover change may be detected in the FPC processing, this product is not designed to generate clearing layers, and cannot be used to assess clearing or be compared with previous years for change monitoring. The Statewide Landcover and Trees Study (SLATS) produces accurate clearing layers for this purpose. Description: FPC is the percentage of ground area occupied by the vertical projection of foliage. FPC Image (lztmre_lagl_e8811_chtm5.img). Image value = FPC 100 (i.e. FPC of 5% = image value of 105). The pixel values in this data set represent the predicted Foliage Projective Cover (FPC) values. Range is 100-200 which is equivalent to 0-100% FPC. Values erroneously predicted above 100% or below 0% have been classed as 200 and 100 respectively. Zero values indicate null data. A number of datasets have been used to mask out certain features from the FPC dataset: - Cropping and plantation areas have been masked using the 1999 Queensland Land Use Mapping Program (QLUMP) dataset (https://www.qld.gov.au/environment/land/vegetation/mapping/qlump/). - A Landsat-derived water index was used to mask water bodies from each individual FPC image (Danaher and Collett 2006). An additional mask is applied for areas with persistent inundation based on multi-temporal analysis of the water index. - A topographic correction based on the 1 second SRTM derived Digital Surface Model, Version 1.0, was applied to misclassified steep east-facing slopes. The SRTM data consisted of a DEM and slope layer as processed by Geosciences Australia. Spatial Data Format Foliage projective cover 2011 - Mackay documentDigital Foliage Projective Cover (FPC) is the percentage of ground area occupied by the vertical projection of foliage. The Remote Sensing Centre FPC mapping is based on an automated decision tree classification technique applied to dry season (May to October) Landsat 5 TM imagery for the period 1986-2011. The product has a nominal accuracy of 85%. The field data used to calibrate the imagery/FPC relationship was mostly collected over the period 1996-1999. Additional corrections were also applied to the final product to remove errors due to topographic effects, cloud, cloud shadow, water, cropping, regrowth and wooded vegetation clearing. Some errors may remain. This product has more precise FPC predictions than previous versions. The analysis has been completed on each of 90 satellite scenes. While some land cover change may be detected in the FPC processing, this product is not designed to generate clearing layers, and cannot be used to assess clearing or be compared with previous years for change monitoring. The Statewide Landcover and Trees Study (SLATS) produces accurate clearing layers for this purpose. Description: FPC is the percentage of ground area occupied by the vertical projection of foliage. FPC Image (lztmre_mack_e8811_chtm5.img). Image value = FPC 100 (i.e. FPC of 5% = image value of 105). The pixel values in this data set represent the predicted Foliage Projective Cover (FPC) values. Range is 100-200 which is equivalent to 0-100% FPC. Values erroneously predicted above 100% or below 0% have been classed as 200 and 100 respectively. Zero values indicate null data. A number of datasets have been used to mask out certain features from the FPC dataset: - Cropping and plantation areas have been masked using the 1999 Queensland Land Use Mapping Program (QLUMP) dataset (https://www.qld.gov.au/environment/land/vegetation/mapping/qlump/). - A Landsat-derived water index was used to mask water bodies from each individual FPC image (Danaher and Collett 2006). An additional mask is applied for areas with persistent inundation based on multi-temporal analysis of the water index. - A topographic correction based on the 1 second SRTM derived Digital Surface Model, Version 1.0, was applied to misclassified steep east-facing slopes. The SRTM data consisted of a DEM and slope layer as processed by Geosciences Australia. Spatial Data Format Foliage projective cover 2011 - Monto documentDigital Foliage Projective Cover (FPC) is the percentage of ground area occupied by the vertical projection of foliage. The Remote Sensing Centre FPC mapping is based on an automated decision tree classification technique applied to dry season (May to October) Landsat 5 TM imagery for the period 1986-2011. The product has a nominal accuracy of 85%. The field data used to calibrate the imagery/FPC relationship was mostly collected over the period 1996-1999. Additional corrections were also applied to the final product to remove errors due to topographic effects, cloud, cloud shadow, water, cropping, regrowth and wooded vegetation clearing. Some errors may remain. This product has more precise FPC predictions than previous versions. The analysis has been completed on each of 90 satellite scenes. While some land cover change may be detected in the FPC processing, this product is not designed to generate clearing layers, and cannot be used to assess clearing or be compared with previous years for change monitoring. The Statewide Landcover and Trees Study (SLATS) produces accurate clearing layers for this purpose. Description: FPC is the percentage of ground area occupied by the vertical projection of foliage. FPC Image (lztmre_mont_e8811_chtm6.img). Image value = FPC 100 (i.e. FPC of 5% = image value of 105). The pixel values in this data set represent the predicted Foliage Projective Cover (FPC) values. Range is 100-200 which is equivalent to 0-100% FPC. Values erroneously predicted above 100% or below 0% have been classed as 200 and 100 respectively. Zero values indicate null data. A number of datasets have been used to mask out certain features from the FPC dataset: - Cropping and plantation areas have been masked using the 1999 Queensland Land Use Mapping Program (QLUMP) dataset (https://www.qld.gov.au/environment/land/vegetation/mapping/qlump/). - A Landsat-derived water index was used to mask water bodies from each individual FPC image (Danaher and Collett 2006). An additional mask is applied for areas with persistent inundation based on multi-temporal analysis of the water index. - A topographic correction based on the 1 second SRTM derived Digital Surface Model, Version 1.0, was applied to misclassified steep east-facing slopes. The SRTM data consisted of a DEM and slope layer as processed by Geosciences Australia. Spatial Data Format Foliage projective cover 2011 - Moranbah documentDigital Foliage Projective Cover (FPC) is the percentage of ground area occupied by the vertical projection of foliage. The Remote Sensing Centre FPC mapping is based on an automated decision tree classification technique applied to dry season (May to October) Landsat 5 TM imagery for the period 1986-2011. The product has a nominal accuracy of 85%. The field data used to calibrate the imagery/FPC relationship was mostly collected over the period 1996-1999. Additional corrections were also applied to the final product to remove errors due to topographic effects, cloud, cloud shadow, water, cropping, regrowth and wooded vegetation clearing. Some errors may remain. This product has more precise FPC predictions than previous versions. The analysis has been completed on each of 90 satellite scenes. While some land cover change may be detected in the FPC processing, this product is not designed to generate clearing layers, and cannot be used to assess clearing or be compared with previous years for change monitoring. The Statewide Landcover and Trees Study (SLATS) produces accurate clearing layers for this purpose. Description: FPC is the percentage of ground area occupied by the vertical projection of foliage. FPC Image (lztmre_mora_e8811_chtm5.img). Image value = FPC 100 (i.e. FPC of 5% = image value of 105). The pixel values in this data set represent the predicted Foliage Projective Cover (FPC) values. Range is 100-200 which is equivalent to 0-100% FPC. Values erroneously predicted above 100% or below 0% have been classed as 200 and 100 respectively. Zero values indicate null data. A number of datasets have been used to mask out certain features from the FPC dataset: - Cropping and plantation areas have been masked using the 1999 Queensland Land Use Mapping Program (QLUMP) dataset (https://www.qld.gov.au/environment/land/vegetation/mapping/qlump/). - A Landsat-derived water index was used to mask water bodies from each individual FPC image (Danaher and Collett 2006). An additional mask is applied for areas with persistent inundation based on multi-temporal analysis of the water index. - A topographic correction based on the 1 second SRTM derived Digital Surface Model, Version 1.0, was applied to misclassified steep east-facing slopes. The SRTM data consisted of a DEM and slope layer as processed by Geosciences Australia. Spatial Data Format Foliage projective cover 2011 - Mornington Island documentDigital Foliage Projective Cover (FPC) is the percentage of ground area occupied by the vertical projection of foliage. The Remote Sensing Centre FPC mapping is based on an automated decision tree classification technique applied to dry season (May to October) Landsat 5 TM imagery for the period 1986-2011. The product has a nominal accuracy of 85%. The field data used to calibrate the imagery/FPC relationship was mostly collected over the period 1996-1999. Additional corrections were also applied to the final product to remove errors due to topographic effects, cloud, cloud shadow, water, cropping, regrowth and wooded vegetation clearing. Some errors may remain. This product has more precise FPC predictions than previous versions. The analysis has been completed on each of 90 satellite scenes. While some land cover change may be detected in the FPC processing, this product is not designed to generate clearing layers, and cannot be used to assess clearing or be compared with previous years for change monitoring. The Statewide Landcover and Trees Study (SLATS) produces accurate clearing layers for this purpose. Description: FPC is the percentage of ground area occupied by the vertical projection of foliage. FPC Image (lztmre_morn_e8811_chtm4.img). Image value = FPC 100 (i.e. FPC of 5% = image value of 105). The pixel values in this data set represent the predicted Foliage Projective Cover (FPC) values. Range is 100-200 which is equivalent to 0-100% FPC. Values erroneously predicted above 100% or below 0% have been classed as 200 and 100 respectively. Zero values indicate null data. A number of datasets have been used to mask out certain features from the FPC dataset: - Cropping and plantation areas have been masked using the 1999 Queensland Land Use Mapping Program (QLUMP) dataset (https://www.qld.gov.au/environment/land/vegetation/mapping/qlump/). - A Landsat-derived water index was used to mask water bodies from each individual FPC image (Danaher and Collett 2006). An additional mask is applied for areas with persistent inundation based on multi-temporal analysis of the water index. - A topographic correction based on the 1 second SRTM derived Digital Surface Model, Version 1.0, was applied to misclassified steep east-facing slopes. The SRTM data consisted of a DEM and slope layer as processed by Geosciences Australia. Spatial Data Format Foliage projective cover 2011 - Morven documentDigital Foliage Projective Cover (FPC) is the percentage of ground area occupied by the vertical projection of foliage. The Remote Sensing Centre FPC mapping is based on an automated decision tree classification technique applied to dry season (May to October) Landsat 5 TM imagery for the period 1986-2011. The product has a nominal accuracy of 85%. The field data used to calibrate the imagery/FPC relationship was mostly collected over the period 1996-1999. Additional corrections were also applied to the final product to remove errors due to topographic effects, cloud, cloud shadow, water, cropping, regrowth and wooded vegetation clearing. Some errors may remain. This product has more precise FPC predictions than previous versions. The analysis has been completed on each of 90 satellite scenes. While some land cover change may be detected in the FPC processing, this product is not designed to generate clearing layers, and cannot be used to assess clearing or be compared with previous years for change monitoring. The Statewide Landcover and Trees Study (SLATS) produces accurate clearing layers for this purpose. Description: FPC is the percentage of ground area occupied by the vertical projection of foliage. FPC Image (lztmre_morv_e8811_chtm5.img). Image value = FPC 100 (i.e. FPC of 5% = image value of 105). The pixel values in this data set represent the predicted Foliage Projective Cover (FPC) values. Range is 100-200 which is equivalent to 0-100% FPC. Values erroneously predicted above 100% or below 0% have been classed as 200 and 100 respectively. Zero values indicate null data. A number of datasets have been used to mask out certain features from the FPC dataset: - Cropping and plantation areas have been masked using the 1999 Queensland Land Use Mapping Program (QLUMP) dataset (https://www.qld.gov.au/environment/land/vegetation/mapping/qlump/). - A Landsat-derived water index was used to mask water bodies from each individual FPC image (Danaher and Collett 2006). An additional mask is applied for areas with persistent inundation based on multi-temporal analysis of the water index. - A topographic correction based on the 1 second SRTM derived Digital Surface Model, Version 1.0, was applied to misclassified steep east-facing slopes. The SRTM data consisted of a DEM and slope layer as processed by Geosciences Australia. Spatial Data Format Foliage projective cover 2011 - Mt Coolan documentDigital Foliage Projective Cover (FPC) is the percentage of ground area occupied by the vertical projection of foliage. The Remote Sensing Centre FPC mapping is based on an automated decision tree classification technique applied to dry season (May to October) Landsat 5 TM imagery for the period 1986-2011. The product has a nominal accuracy of 85%. The field data used to calibrate the imagery/FPC relationship was mostly collected over the period 1996-1999. Additional corrections were also applied to the final product to remove errors due to topographic effects, cloud, cloud shadow, water, cropping, regrowth and wooded vegetation clearing. Some errors may remain. This product has more precise FPC predictions than previous versions. The analysis has been completed on each of 90 satellite scenes. While some land cover change may be detected in the FPC processing, this product is not designed to generate clearing layers, and cannot be used to assess clearing or be compared with previous years for change monitoring. The Statewide Landcover and Trees Study (SLATS) produces accurate clearing layers for this purpose. Description: FPC is the percentage of ground area occupied by the vertical projection of foliage. FPC Image (lztmre_mtco_e8811_chtm5.img). Image value = FPC 100 (i.e. FPC of 5% = image value of 105). The pixel values in this data set represent the predicted Foliage Projective Cover (FPC) values. Range is 100-200 which is equivalent to 0-100% FPC. Values erroneously predicted above 100% or below 0% have been classed as 200 and 100 respectively. Zero values indicate null data. A number of datasets have been used to mask out certain features from the FPC dataset: - Cropping and plantation areas have been masked using the 1999 Queensland Land Use Mapping Program (QLUMP) dataset (https://www.qld.gov.au/environment/land/vegetation/mapping/qlump/). - A Landsat-derived water index was used to mask water bodies from each individual FPC image (Danaher and Collett 2006). An additional mask is applied for areas with persistent inundation based on multi-temporal analysis of the water index. - A topographic correction based on the 1 second SRTM derived Digital Surface Model, Version 1.0, was applied to misclassified steep east-facing slopes. The SRTM data consisted of a DEM and slope layer as processed by Geosciences Australia. Spatial Data Format Foliage projective cover 2011 - Mt Garnet documentDigital Foliage Projective Cover (FPC) is the percentage of ground area occupied by the vertical projection of foliage. The Remote Sensing Centre FPC mapping is based on an automated decision tree classification technique applied to dry season (May to October) Landsat 5 TM imagery for the period 1986-2011. The product has a nominal accuracy of 85%. The field data used to calibrate the imagery/FPC relationship was mostly collected over the period 1996-1999. Additional corrections were also applied to the final product to remove errors due to topographic effects, cloud, cloud shadow, water, cropping, regrowth and wooded vegetation clearing. Some errors may remain. This product has more precise FPC predictions than previous versions. The analysis has been completed on each of 90 satellite scenes. While some land cover change may be detected in the FPC processing, this product is not designed to generate clearing layers, and cannot be used to assess clearing or be compared with previous years for change monitoring. The Statewide Landcover and Trees Study (SLATS) produces accurate clearing layers for this purpose. Description: FPC is the percentage of ground area occupied by the vertical projection of foliage. FPC Image (lztmre_mtga_e8811_chtm5.img). Image value = FPC 100 (i.e. FPC of 5% = image value of 105). The pixel values in this data set represent the predicted Foliage Projective Cover (FPC) values. Range is 100-200 which is equivalent to 0-100% FPC. Values erroneously predicted above 100% or below 0% have been classed as 200 and 100 respectively. Zero values indicate null data. A number of datasets have been used to mask out certain features from the FPC dataset: - Cropping and plantation areas have been masked using the 1999 Queensland Land Use Mapping Program (QLUMP) dataset (https://www.qld.gov.au/environment/land/vegetation/mapping/qlump/). - A Landsat-derived water index was used to mask water bodies from each individual FPC image (Danaher and Collett 2006). An additional mask is applied for areas with persistent inundation based on multi-temporal analysis of the water index. - A topographic correction based on the 1 second SRTM derived Digital Surface Model, Version 1.0, was applied to misclassified steep east-facing slopes. The SRTM data consisted of a DEM and slope layer as processed by Geosciences Australia. Spatial Data Format Foliage projective cover 2011 - Mt Isa documentDigital Foliage Projective Cover (FPC) is the percentage of ground area occupied by the vertical projection of foliage. The Remote Sensing Centre FPC mapping is based on an automated decision tree classification technique applied to dry season (May to October) Landsat 5 TM imagery for the period 1986-2011. The product has a nominal accuracy of 85%. The field data used to calibrate the imagery/FPC relationship was mostly collected over the period 1996-1999. Additional corrections were also applied to the final product to remove errors due to topographic effects, cloud, cloud shadow, water, cropping, regrowth and wooded vegetation clearing. Some errors may remain. This product has more precise FPC predictions than previous versions. The analysis has been completed on each of 90 satellite scenes. While some land cover change may be detected in the FPC processing, this product is not designed to generate clearing layers, and cannot be used to assess clearing or be compared with previous years for change monitoring. The Statewide Landcover and Trees Study (SLATS) produces accurate clearing layers for this purpose. Description: FPC is the percentage of ground area occupied by the vertical projection of foliage. FPC Image (lztmre_mtis_e8811_chtm4.img). Image value = FPC 100 (i.e. FPC of 5% = image value of 105). The pixel values in this data set represent the predicted Foliage Projective Cover (FPC) values. Range is 100-200 which is equivalent to 0-100% FPC. Values erroneously predicted above 100% or below 0% have been classed as 200 and 100 respectively. Zero values indicate null data. A number of datasets have been used to mask out certain features from the FPC dataset: - Cropping and plantation areas have been masked using the 1999 Queensland Land Use Mapping Program (QLUMP) dataset (https://www.qld.gov.au/environment/land/vegetation/mapping/qlump/). - A Landsat-derived water index was used to mask water bodies from each individual FPC image (Danaher and Collett 2006). An additional mask is applied for areas with persistent inundation based on multi-temporal analysis of the water index. - A topographic correction based on the 1 second SRTM derived Digital Surface Model, Version 1.0, was applied to misclassified steep east-facing slopes. The SRTM data consisted of a DEM and slope layer as processed by Geosciences Australia. Spatial Data Format Foliage projective cover 2011 - Normanton documentDigital Foliage Projective Cover (FPC) is the percentage of ground area occupied by the vertical projection of foliage. The Remote Sensing Centre FPC mapping is based on an automated decision tree classification technique applied to dry season (May to October) Landsat 5 TM imagery for the period 1986-2011. The product has a nominal accuracy of 85%. The field data used to calibrate the imagery/FPC relationship was mostly collected over the period 1996-1999. Additional corrections were also applied to the final product to remove errors due to topographic effects, cloud, cloud shadow, water, cropping, regrowth and wooded vegetation clearing. Some errors may remain. This product has more precise FPC predictions than previous versions. The analysis has been completed on each of 90 satellite scenes. While some land cover change may be detected in the FPC processing, this product is not designed to generate clearing layers, and cannot be used to assess clearing or be compared with previous years for change monitoring. The Statewide Landcover and Trees Study (SLATS) produces accurate clearing layers for this purpose. Description: FPC is the percentage of ground area occupied by the vertical projection of foliage. FPC Image (lztmre_norm_e8811_chtm4.img). Image value = FPC 100 (i.e. FPC of 5% = image value of 105). The pixel values in this data set represent the predicted Foliage Projective Cover (FPC) values. Range is 100-200 which is equivalent to 0-100% FPC. Values erroneously predicted above 100% or below 0% have been classed as 200 and 100 respectively. Zero values indicate null data. A number of datasets have been used to mask out certain features from the FPC dataset: - Cropping and plantation areas have been masked using the 1999 Queensland Land Use Mapping Program (QLUMP) dataset (https://www.qld.gov.au/environment/land/vegetation/mapping/qlump/). - A Landsat-derived water index was used to mask water bodies from each individual FPC image (Danaher and Collett 2006). An additional mask is applied for areas with persistent inundation based on multi-temporal analysis of the water index. - A topographic correction based on the 1 second SRTM derived Digital Surface Model, Version 1.0, was applied to misclassified steep east-facing slopes. The SRTM data consisted of a DEM and slope layer as processed by Geosciences Australia. Spatial Data Format Foliage projective cover 2011 - Oak Valley documentDigital Foliage Projective Cover (FPC) is the percentage of ground area occupied by the vertical projection of foliage. The Remote Sensing Centre FPC mapping is based on an automated decision tree classification technique applied to dry season (May to October) Landsat 5 TM imagery for the period 1986-2011. The product has a nominal accuracy of 85%. The field data used to calibrate the imagery/FPC relationship was mostly collected over the period 1996-1999. Additional corrections were also applied to the final product to remove errors due to topographic effects, cloud, cloud shadow, water, cropping, regrowth and wooded vegetation clearing. Some errors may remain. This product has more precise FPC predictions than previous versions. The analysis has been completed on each of 90 satellite scenes. While some land cover change may be detected in the FPC processing, this product is not designed to generate clearing layers, and cannot be used to assess clearing or be compared with previous years for change monitoring. The Statewide Landcover and Trees Study (SLATS) produces accurate clearing layers for this purpose. Description: FPC is the percentage of ground area occupied by the vertical projection of foliage. FPC Image (lztmre_oakv_e8811_chtm5.img). Image value = FPC 100 (i.e. FPC of 5% = image value of 105). The pixel values in this data set represent the predicted Foliage Projective Cover (FPC) values. Range is 100-200 which is equivalent to 0-100% FPC. Values erroneously predicted above 100% or below 0% have been classed as 200 and 100 respectively. Zero values indicate null data. A number of datasets have been used to mask out certain features from the FPC dataset: - Cropping and plantation areas have been masked using the 1999 Queensland Land Use Mapping Program (QLUMP) dataset (https://www.qld.gov.au/environment/land/vegetation/mapping/qlump/). - A Landsat-derived water index was used to mask water bodies from each individual FPC image (Danaher and Collett 2006). An additional mask is applied for areas with persistent inundation based on multi-temporal analysis of the water index. - A topographic correction based on the 1 second SRTM derived Digital Surface Model, Version 1.0, was applied to misclassified steep east-facing slopes. The SRTM data consisted of a DEM and slope layer as processed by Geosciences Australia. Spatial Data Format Foliage projective cover 2011 - Pentland documentDigital Foliage Projective Cover (FPC) is the percentage of ground area occupied by the vertical projection of foliage. The Remote Sensing Centre FPC mapping is based on an automated decision tree classification technique applied to dry season (May to October) Landsat 5 TM imagery for the period 1986-2011. The product has a nominal accuracy of 85%. The field data used to calibrate the imagery/FPC relationship was mostly collected over the period 1996-1999. Additional corrections were also applied to the final product to remove errors due to topographic effects, cloud, cloud shadow, water, cropping, regrowth and wooded vegetation clearing. Some errors may remain. This product has more precise FPC predictions than previous versions. The analysis has been completed on each of 90 satellite scenes. While some land cover change may be detected in the FPC processing, this product is not designed to generate clearing layers, and cannot be used to assess clearing or be compared with previous years for change monitoring. The Statewide Landcover and Trees Study (SLATS) produces accurate clearing layers for this purpose. Description: FPC is the percentage of ground area occupied by the vertical projection of foliage. FPC Image (lztmre_pent_e8811_chtm5.img). Image value = FPC 100 (i.e. FPC of 5% = image value of 105). The pixel values in this data set represent the predicted Foliage Projective Cover (FPC) values. Range is 100-200 which is equivalent to 0-100% FPC. Values erroneously predicted above 100% or below 0% have been classed as 200 and 100 respectively. Zero values indicate null data. A number of datasets have been used to mask out certain features from the FPC dataset: - Cropping and plantation areas have been masked using the 1999 Queensland Land Use Mapping Program (QLUMP) dataset (https://www.qld.gov.au/environment/land/vegetation/mapping/qlump/). - A Landsat-derived water index was used to mask water bodies from each individual FPC image (Danaher and Collett 2006). An additional mask is applied for areas with persistent inundation based on multi-temporal analysis of the water index. - A topographic correction based on the 1 second SRTM derived Digital Surface Model, Version 1.0, was applied to misclassified steep east-facing slopes. The SRTM data consisted of a DEM and slope layer as processed by Geosciences Australia. Spatial Data Format Foliage projective cover 2011 - Poeppel Corner documentDigital Foliage Projective Cover (FPC) is the percentage of ground area occupied by the vertical projection of foliage. The Remote Sensing Centre FPC mapping is based on an automated decision tree classification technique applied to dry season (May to October) Landsat 5 TM imagery for the period 1986-2011. The product has a nominal accuracy of 85%. The field data used to calibrate the imagery/FPC relationship was mostly collected over the period 1996-1999. Additional corrections were also applied to the final product to remove errors due to topographic effects, cloud, cloud shadow, water, cropping, regrowth and wooded vegetation clearing. Some errors may remain. This product has more precise FPC predictions than previous versions. The analysis has been completed on each of 90 satellite scenes. While some land cover change may be detected in the FPC processing, this product is not designed to generate clearing layers, and cannot be used to assess clearing or be compared with previous years for change monitoring. The Statewide Landcover and Trees Study (SLATS) produces accurate clearing layers for this purpose. Description: FPC is the percentage of ground area occupied by the vertical projection of foliage. FPC Image (lztmre_poep_e8811_chtm4.img). Image value = FPC 100 (i.e. FPC of 5% = image value of 105). The pixel values in this data set represent the predicted Foliage Projective Cover (FPC) values. Range is 100-200 which is equivalent to 0-100% FPC. Values erroneously predicted above 100% or below 0% have been classed as 200 and 100 respectively. Zero values indicate null data. A number of datasets have been used to mask out certain features from the FPC dataset: - Cropping and plantation areas have been masked using the 1999 Queensland Land Use Mapping Program (QLUMP) dataset (https://www.qld.gov.au/environment/land/vegetation/mapping/qlump/). - A Landsat-derived water index was used to mask water bodies from each individual FPC image (Danaher and Collett 2006). An additional mask is applied for areas with persistent inundation based on multi-temporal analysis of the water index. - A topographic correction based on the 1 second SRTM derived Digital Surface Model, Version 1.0, was applied to misclassified steep east-facing slopes. The SRTM data consisted of a DEM and slope layer as processed by Geosciences Australia. Spatial Data Format Foliage projective cover 2011 - Princess Charlotte documentDigital Foliage Projective Cover (FPC) is the percentage of ground area occupied by the vertical projection of foliage. The Remote Sensing Centre FPC mapping is based on an automated decision tree classification technique applied to dry season (May to October) Landsat 5 TM imagery for the period 1986-2011. The product has a nominal accuracy of 85%. The field data used to calibrate the imagery/FPC relationship was mostly collected over the period 1996-1999. Additional corrections were also applied to the final product to remove errors due to topographic effects, cloud, cloud shadow, water, cropping, regrowth and wooded vegetation clearing. Some errors may remain. This product has more precise FPC predictions than previous versions. The analysis has been completed on each of 90 satellite scenes. While some land cover change may be detected in the FPC processing, this product is not designed to generate clearing layers, and cannot be used to assess clearing or be compared with previous years for change monitoring. The Statewide Landcover and Trees Study (SLATS) produces accurate clearing layers for this purpose. Description: FPC is the percentage of ground area occupied by the vertical projection of foliage. FPC Image (lztmre_prin_e8811_chtm5.img). Image value = FPC 100 (i.e. FPC of 5% = image value of 105). The pixel values in this data set represent the predicted Foliage Projective Cover (FPC) values. Range is 100-200 which is equivalent to 0-100% FPC. Values erroneously predicted above 100% or below 0% have been classed as 200 and 100 respectively. Zero values indicate null data. A number of datasets have been used to mask out certain features from the FPC dataset: - Cropping and plantation areas have been masked using the 1999 Queensland Land Use Mapping Program (QLUMP) dataset (https://www.qld.gov.au/environment/land/vegetation/mapping/qlump/). - A Landsat-derived water index was used to mask water bodies from each individual FPC image (Danaher and Collett 2006). An additional mask is applied for areas with persistent inundation based on multi-temporal analysis of the water index. - A topographic correction based on the 1 second SRTM derived Digital Surface Model, Version 1.0, was applied to misclassified steep east-facing slopes. The SRTM data consisted of a DEM and slope layer as processed by Geosciences Australia. Spatial Data Format Foliage projective cover 2011 - Quilpie documentDigital Foliage Projective Cover (FPC) is the percentage of ground area occupied by the vertical projection of foliage. The Remote Sensing Centre FPC mapping is based on an automated decision tree classification technique applied to dry season (May to October) Landsat 5 TM imagery for the period 1986-2011. The product has a nominal accuracy of 85%. The field data used to calibrate the imagery/FPC relationship was mostly collected over the period 1996-1999. Additional corrections were also applied to the final product to remove errors due to topographic effects, cloud, cloud shadow, water, cropping, regrowth and wooded vegetation clearing. Some errors may remain. This product has more precise FPC predictions than previous versions. The analysis has been completed on each of 90 satellite scenes. While some land cover change may be detected in the FPC processing, this product is not designed to generate clearing layers, and cannot be used to assess clearing or be compared with previous years for change monitoring. The Statewide Landcover and Trees Study (SLATS) produces accurate clearing layers for this purpose. Description: FPC is the percentage of ground area occupied by the vertical projection of foliage. FPC Image (lztmre_quil_e8811_chtm5.img). Image value = FPC 100 (i.e. FPC of 5% = image value of 105). The pixel values in this data set represent the predicted Foliage Projective Cover (FPC) values. Range is 100-200 which is equivalent to 0-100% FPC. Values erroneously predicted above 100% or below 0% have been classed as 200 and 100 respectively. Zero values indicate null data. A number of datasets have been used to mask out certain features from the FPC dataset: - Cropping and plantation areas have been masked using the 1999 Queensland Land Use Mapping Program (QLUMP) dataset (https://www.qld.gov.au/environment/land/vegetation/mapping/qlump/). - A Landsat-derived water index was used to mask water bodies from each individual FPC image (Danaher and Collett 2006). An additional mask is applied for areas with persistent inundation based on multi-temporal analysis of the water index. - A topographic correction based on the 1 second SRTM derived Digital Surface Model, Version 1.0, was applied to misclassified steep east-facing slopes. The SRTM data consisted of a DEM and slope layer as processed by Geosciences Australia. Spatial Data Format Foliage projective cover 2011 - Roma documentDigital Foliage Projective Cover (FPC) is the percentage of ground area occupied by the vertical projection of foliage. The Remote Sensing Centre FPC mapping is based on an automated decision tree classification technique applied to dry season (May to October) Landsat 5 TM imagery for the period 1986-2011. The product has a nominal accuracy of 85%. The field data used to calibrate the imagery/FPC relationship was mostly collected over the period 1996-1999. Additional corrections were also applied to the final product to remove errors due to topographic effects, cloud, cloud shadow, water, cropping, regrowth and wooded vegetation clearing. Some errors may remain. This product has more precise FPC predictions than previous versions. The analysis has been completed on each of 90 satellite scenes. While some land cover change may be detected in the FPC processing, this product is not designed to generate clearing layers, and cannot be used to assess clearing or be compared with previous years for change monitoring. The Statewide Landcover and Trees Study (SLATS) produces accurate clearing layers for this purpose. Description: FPC is the percentage of ground area occupied by the vertical projection of foliage. FPC Image (lztmre_roma_e8811_chtm5.img). Image value = FPC 100 (i.e. FPC of 5% = image value of 105). The pixel values in this data set represent the predicted Foliage Projective Cover (FPC) values. Range is 100-200 which is equivalent to 0-100% FPC. Values erroneously predicted above 100% or below 0% have been classed as 200 and 100 respectively. Zero values indicate null data. A number of datasets have been used to mask out certain features from the FPC dataset: - Cropping and plantation areas have been masked using the 1999 Queensland Land Use Mapping Program (QLUMP) dataset (https://www.qld.gov.au/environment/land/vegetation/mapping/qlump/). - A Landsat-derived water index was used to mask water bodies from each individual FPC image (Danaher and Collett 2006). An additional mask is applied for areas with persistent inundation based on multi-temporal analysis of the water index. - A topographic correction based on the 1 second SRTM derived Digital Surface Model, Version 1.0, was applied to misclassified steep east-facing slopes. The SRTM data consisted of a DEM and slope layer as processed by Geosciences Australia. Spatial Data Format Foliage projective cover 2011 - Sarina documentDigital Foliage Projective Cover (FPC) is the percentage of ground area occupied by the vertical projection of foliage. The Remote Sensing Centre FPC mapping is based on an automated decision tree classification technique applied to dry season (May to October) Landsat 5 TM imagery for the period 1986-2011. The product has a nominal accuracy of 85%. The field data used to calibrate the imagery/FPC relationship was mostly collected over the period 1996-1999. Additional corrections were also applied to the final product to remove errors due to topographic effects, cloud, cloud shadow, water, cropping, regrowth and wooded vegetation clearing. Some errors may remain. This product has more precise FPC predictions than previous versions. The analysis has been completed on each of 90 satellite scenes. While some land cover change may be detected in the FPC processing, this product is not designed to generate clearing layers, and cannot be used to assess clearing or be compared with previous years for change monitoring. The Statewide Landcover and Trees Study (SLATS) produces accurate clearing layers for this purpose. Description: FPC is the percentage of ground area occupied by the vertical projection of foliage. FPC Image (lztmre_sari_e8811_chtm6.img). Image value = FPC 100 (i.e. FPC of 5% = image value of 105). The pixel values in this data set represent the predicted Foliage Projective Cover (FPC) values. Range is 100-200 which is equivalent to 0-100% FPC. Values erroneously predicted above 100% or below 0% have been classed as 200 and 100 respectively. Zero values indicate null data. A number of datasets have been used to mask out certain features from the FPC dataset: - Cropping and plantation areas have been masked using the 1999 Queensland Land Use Mapping Program (QLUMP) dataset (https://www.qld.gov.au/environment/land/vegetation/mapping/qlump/). - A Landsat-derived water index was used to mask water bodies from each individual FPC image (Danaher and Collett 2006). An additional mask is applied for areas with persistent inundation based on multi-temporal analysis of the water index. - A topographic correction based on the 1 second SRTM derived Digital Surface Model, Version 1.0, was applied to misclassified steep east-facing slopes. The SRTM data consisted of a DEM and slope layer as processed by Geosciences Australia. Spatial Data Format Foliage projective cover 2011 - St Lawrence documentDigital Foliage Projective Cover (FPC) is the percentage of ground area occupied by the vertical projection of foliage. The Remote Sensing Centre FPC mapping is based on an automated decision tree classification technique applied to dry season (May to October) Landsat 5 TM imagery for the period 1986-2011. The product has a nominal accuracy of 85%. The field data used to calibrate the imagery/FPC relationship was mostly collected over the period 1996-1999. Additional corrections were also applied to the final product to remove errors due to topographic effects, cloud, cloud shadow, water, cropping, regrowth and wooded vegetation clearing. Some errors may remain. This product has more precise FPC predictions than previous versions. The analysis has been completed on each of 90 satellite scenes. While some land cover change may be detected in the FPC processing, this product is not designed to generate clearing layers, and cannot be used to assess clearing or be compared with previous years for change monitoring. The Statewide Landcover and Trees Study (SLATS) produces accurate clearing layers for this purpose. Description: FPC is the percentage of ground area occupied by the vertical projection of foliage. FPC Image (lztmre_stla_e8811_chtm5.img). Image value = FPC 100 (i.e. FPC of 5% = image value of 105). The pixel values in this data set represent the predicted Foliage Projective Cover (FPC) values. Range is 100-200 which is equivalent to 0-100% FPC. Values erroneously predicted above 100% or below 0% have been classed as 200 and 100 respectively. Zero values indicate null data. A number of datasets have been used to mask out certain features from the FPC dataset: - Cropping and plantation areas have been masked using the 1999 Queensland Land Use Mapping Program (QLUMP) dataset (https://www.qld.gov.au/environment/land/vegetation/mapping/qlump/). - A Landsat-derived water index was used to mask water bodies from each individual FPC image (Danaher and Collett 2006). An additional mask is applied for areas with persistent inundation based on multi-temporal analysis of the water index. - A topographic correction based on the 1 second SRTM derived Digital Surface Model, Version 1.0, was applied to misclassified steep east-facing slopes. The SRTM data consisted of a DEM and slope layer as processed by Geosciences Australia. Spatial Data Format Foliage projective cover 2011 - Stonehenge documentDigital Foliage Projective Cover (FPC) is the percentage of ground area occupied by the vertical projection of foliage. The Remote Sensing Centre FPC mapping is based on an automated decision tree classification technique applied to dry season (May to October) Landsat 5 TM imagery for the period 1986-2011. The product has a nominal accuracy of 85%. The field data used to calibrate the imagery/FPC relationship was mostly collected over the period 1996-1999. Additional corrections were also applied to the final product to remove errors due to topographic effects, cloud, cloud shadow, water, cropping, regrowth and wooded vegetation clearing. Some errors may remain. This product has more precise FPC predictions than previous versions. The analysis has been completed on each of 90 satellite scenes. While some land cover change may be detected in the FPC processing, this product is not designed to generate clearing layers, and cannot be used to assess clearing or be compared with previous years for change monitoring. The Statewide Landcover and Trees Study (SLATS) produces accurate clearing layers for this purpose. Description: FPC is the percentage of ground area occupied by the vertical projection of foliage. FPC Image (lztmre_ston_e8811_chtm4.img). Image value = FPC 100 (i.e. FPC of 5% = image value of 105). The pixel values in this data set represent the predicted Foliage Projective Cover (FPC) values. Range is 100-200 which is equivalent to 0-100% FPC. Values erroneously predicted above 100% or below 0% have been classed as 200 and 100 respectively. Zero values indicate null data. A number of datasets have been used to mask out certain features from the FPC dataset: - Cropping and plantation areas have been masked using the 1999 Queensland Land Use Mapping Program (QLUMP) dataset (https://www.qld.gov.au/environment/land/vegetation/mapping/qlump/). - A Landsat-derived water index was used to mask water bodies from each individual FPC image (Danaher and Collett 2006). An additional mask is applied for areas with persistent inundation based on multi-temporal analysis of the water index. - A topographic correction based on the 1 second SRTM derived Digital Surface Model, Version 1.0, was applied to misclassified steep east-facing slopes. The SRTM data consisted of a DEM and slope layer as processed by Geosciences Australia. Spatial Data Format Foliage projective cover 2011 - Sunshine Coast documentDigital Foliage Projective Cover (FPC) is the percentage of ground area occupied by the vertical projection of foliage. The Remote Sensing Centre FPC mapping is based on an automated decision tree classification technique applied to dry season (May to October) Landsat 5 TM imagery for the period 1986-2011. The product has a nominal accuracy of 85%. The field data used to calibrate the imagery/FPC relationship was mostly collected over the period 1996-1999. Additional corrections were also applied to the final product to remove errors due to topographic effects, cloud, cloud shadow, water, cropping, regrowth and wooded vegetation clearing. Some errors may remain. This product has more precise FPC predictions than previous versions. The analysis has been completed on each of 90 satellite scenes. While some land cover change may be detected in the FPC processing, this product is not designed to generate clearing layers, and cannot be used to assess clearing or be compared with previous years for change monitoring. The Statewide Landcover and Trees Study (SLATS) produces accurate clearing layers for this purpose. Description: FPC is the percentage of ground area occupied by the vertical projection of foliage. FPC Image (lztmre_suns_e8811_chtm6.img). Image value = FPC 100 (i.e. FPC of 5% = image value of 105). The pixel values in this data set represent the predicted Foliage Projective Cover (FPC) values. Range is 100-200 which is equivalent to 0-100% FPC. Values erroneously predicted above 100% or below 0% have been classed as 200 and 100 respectively. Zero values indicate null data. A number of datasets have been used to mask out certain features from the FPC dataset: - Cropping and plantation areas have been masked using the 1999 Queensland Land Use Mapping Program (QLUMP) dataset (https://www.qld.gov.au/environment/land/vegetation/mapping/qlump/). - A Landsat-derived water index was used to mask water bodies from each individual FPC image (Danaher and Collett 2006). An additional mask is applied for areas with persistent inundation based on multi-temporal analysis of the water index. - A topographic correction based on the 1 second SRTM derived Digital Surface Model, Version 1.0, was applied to misclassified steep east-facing slopes. The SRTM data consisted of a DEM and slope layer as processed by Geosciences Australia. Spatial Data Format Foliage projective cover 2011 - Tambo documentDigital Foliage Projective Cover (FPC) is the percentage of ground area occupied by the vertical projection of foliage. The Remote Sensing Centre FPC mapping is based on an automated decision tree classification technique applied to dry season (May to October) Landsat 5 TM imagery for the period 1986-2011. The product has a nominal accuracy of 85%. The field data used to calibrate the imagery/FPC relationship was mostly collected over the period 1996-1999. Additional corrections were also applied to the final product to remove errors due to topographic effects, cloud, cloud shadow, water, cropping, regrowth and wooded vegetation clearing. Some errors may remain. This product has more precise FPC predictions than previous versions. The analysis has been completed on each of 90 satellite scenes. While some land cover change may be detected in the FPC processing, this product is not designed to generate clearing layers, and cannot be used to assess clearing or be compared with previous years for change monitoring. The Statewide Landcover and Trees Study (SLATS) produces accurate clearing layers for this purpose. Description: FPC is the percentage of ground area occupied by the vertical projection of foliage. FPC Image (lztmre_tamb_e8811_chtm5.img). Image value = FPC 100 (i.e. FPC of 5% = image value of 105). The pixel values in this data set represent the predicted Foliage Projective Cover (FPC) values. Range is 100-200 which is equivalent to 0-100% FPC. Values erroneously predicted above 100% or below 0% have been classed as 200 and 100 respectively. Zero values indicate null data. A number of datasets have been used to mask out certain features from the FPC dataset: - Cropping and plantation areas have been masked using the 1999 Queensland Land Use Mapping Program (QLUMP) dataset (https://www.qld.gov.au/environment/land/vegetation/mapping/qlump/). - A Landsat-derived water index was used to mask water bodies from each individual FPC image (Danaher and Collett 2006). An additional mask is applied for areas with persistent inundation based on multi-temporal analysis of the water index. - A topographic correction based on the 1 second SRTM derived Digital Surface Model, Version 1.0, was applied to misclassified steep east-facing slopes. The SRTM data consisted of a DEM and slope layer as processed by Geosciences Australia. Spatial Data Format Foliage projective cover 2011 - Thargomindah documentDigital Foliage Projective Cover (FPC) is the percentage of ground area occupied by the vertical projection of foliage. The Remote Sensing Centre FPC mapping is based on an automated decision tree classification technique applied to dry season (May to October) Landsat 5 TM imagery for the period 1986-2011. The product has a nominal accuracy of 85%. The field data used to calibrate the imagery/FPC relationship was mostly collected over the period 1996-1999. Additional corrections were also applied to the final product to remove errors due to topographic effects, cloud, cloud shadow, water, cropping, regrowth and wooded vegetation clearing. Some errors may remain. This product has more precise FPC predictions than previous versions. The analysis has been completed on each of 90 satellite scenes. While some land cover change may be detected in the FPC processing, this product is not designed to generate clearing layers, and cannot be used to assess clearing or be compared with previous years for change monitoring. The Statewide Landcover and Trees Study (SLATS) produces accurate clearing layers for this purpose. Description: FPC is the percentage of ground area occupied by the vertical projection of foliage. FPC Image (lztmre_thar_e8811_chtm4.img). Image value = FPC 100 (i.e. FPC of 5% = image value of 105). The pixel values in this data set represent the predicted Foliage Projective Cover (FPC) values. Range is 100-200 which is equivalent to 0-100% FPC. Values erroneously predicted above 100% or below 0% have been classed as 200 and 100 respectively. Zero values indicate null data. A number of datasets have been used to mask out certain features from the FPC dataset: - Cropping and plantation areas have been masked using the 1999 Queensland Land Use Mapping Program (QLUMP) dataset (https://www.qld.gov.au/environment/land/vegetation/mapping/qlump/). - A Landsat-derived water index was used to mask water bodies from each individual FPC image (Danaher and Collett 2006). An additional mask is applied for areas with persistent inundation based on multi-temporal analysis of the water index. - A topographic correction based on the 1 second SRTM derived Digital Surface Model, Version 1.0, was applied to misclassified steep east-facing slopes. The SRTM data consisted of a DEM and slope layer as processed by Geosciences Australia. Spatial Data Format Foliage projective cover 2011 - Thursday Island documentDigital Foliage Projective Cover (FPC) is the percentage of ground area occupied by the vertical projection of foliage. The Remote Sensing Centre FPC mapping is based on an automated decision tree classification technique applied to dry season (May to October) Landsat 5 TM imagery for the period 1986-2011. The product has a nominal accuracy of 85%. The field data used to calibrate the imagery/FPC relationship was mostly collected over the period 1996-1999. Additional corrections were also applied to the final product to remove errors due to topographic effects, cloud, cloud shadow, water, cropping, regrowth and wooded vegetation clearing. Some errors may remain. This product has more precise FPC predictions than previous versions. The analysis has been completed on each of 90 satellite scenes. While some land cover change may be detected in the FPC processing, this product is not designed to generate clearing layers, and cannot be used to assess clearing or be compared with previous years for change monitoring. The Statewide Landcover and Trees Study (SLATS) produces accurate clearing layers for this purpose. Description: FPC is the percentage of ground area occupied by the vertical projection of foliage. FPC Image (lztmre_thur_e8811_chtm4.img). Image value = FPC 100 (i.e. FPC of 5% = image value of 105). The pixel values in this data set represent the predicted Foliage Projective Cover (FPC) values. Range is 100-200 which is equivalent to 0-100% FPC. Values erroneously predicted above 100% or below 0% have been classed as 200 and 100 respectively. Zero values indicate null data. A number of datasets have been used to mask out certain features from the FPC dataset: - Cropping and plantation areas have been masked using the 1999 Queensland Land Use Mapping Program (QLUMP) dataset (https://www.qld.gov.au/environment/land/vegetation/mapping/qlump/). - A Landsat-derived water index was used to mask water bodies from each individual FPC image (Danaher and Collett 2006). An additional mask is applied for areas with persistent inundation based on multi-temporal analysis of the water index. - A topographic correction based on the 1 second SRTM derived Digital Surface Model, Version 1.0, was applied to misclassified steep east-facing slopes. The SRTM data consisted of a DEM and slope layer as processed by Geosciences Australia. Spatial Data Format Foliage projective cover 2011 - Townsville documentDigital Foliage Projective Cover (FPC) is the percentage of ground area occupied by the vertical projection of foliage. The Remote Sensing Centre FPC mapping is based on an automated decision tree classification technique applied to dry season (May to October) Landsat 5 TM imagery for the period 1986-2011. The product has a nominal accuracy of 85%. The field data used to calibrate the imagery/FPC relationship was mostly collected over the period 1996-1999. Additional corrections were also applied to the final product to remove errors due to topographic effects, cloud, cloud shadow, water, cropping, regrowth and wooded vegetation clearing. Some errors may remain. This product has more precise FPC predictions than previous versions. The analysis has been completed on each of 90 satellite scenes. While some land cover change may be detected in the FPC processing, this product is not designed to generate clearing layers, and cannot be used to assess clearing or be compared with previous years for change monitoring. The Statewide Landcover and Trees Study (SLATS) produces accurate clearing layers for this purpose. Description: FPC is the percentage of ground area occupied by the vertical projection of foliage. FPC Image (lztmre_town_e8811_chtm5.img). Image value = FPC 100 (i.e. FPC of 5% = image value of 105). The pixel values in this data set represent the predicted Foliage Projective Cover (FPC) values. Range is 100-200 which is equivalent to 0-100% FPC. Values erroneously predicted above 100% or below 0% have been classed as 200 and 100 respectively. Zero values indicate null data. A number of datasets have been used to mask out certain features from the FPC dataset: - Cropping and plantation areas have been masked using the 1999 Queensland Land Use Mapping Program (QLUMP) dataset (https://www.qld.gov.au/environment/land/vegetation/mapping/qlump/). - A Landsat-derived water index was used to mask water bodies from each individual FPC image (Danaher and Collett 2006). An additional mask is applied for areas with persistent inundation based on multi-temporal analysis of the water index. - A topographic correction based on the 1 second SRTM derived Digital Surface Model, Version 1.0, was applied to misclassified steep east-facing slopes. The SRTM data consisted of a DEM and slope layer as processed by Geosciences Australia. Spatial Data Format Foliage projective cover 2011 - Urandangie documentDigital Foliage Projective Cover (FPC) is the percentage of ground area occupied by the vertical projection of foliage. The Remote Sensing Centre FPC mapping is based on an automated decision tree classification technique applied to dry season (May to October) Landsat 5 TM imagery for the period 1986-2011. The product has a nominal accuracy of 85%. The field data used to calibrate the imagery/FPC relationship was mostly collected over the period 1996-1999. Additional corrections were also applied to the final product to remove errors due to topographic effects, cloud, cloud shadow, water, cropping, regrowth and wooded vegetation clearing. Some errors may remain. This product has more precise FPC predictions than previous versions. The analysis has been completed on each of 90 satellite scenes. While some land cover change may be detected in the FPC processing, this product is not designed to generate clearing layers, and cannot be used to assess clearing or be compared with previous years for change monitoring. The Statewide Landcover and Trees Study (SLATS) produces accurate clearing layers for this purpose. Description: FPC is the percentage of ground area occupied by the vertical projection of foliage. FPC Image (lztmre_uran_e8811_chtm3.img). Image value = FPC 100 (i.e. FPC of 5% = image value of 105). The pixel values in this data set represent the predicted Foliage Projective Cover (FPC) values. Range is 100-200 which is equivalent to 0-100% FPC. Values erroneously predicted above 100% or below 0% have been classed as 200 and 100 respectively. Zero values indicate null data. A number of datasets have been used to mask out certain features from the FPC dataset: - Cropping and plantation areas have been masked using the 1999 Queensland Land Use Mapping Program (QLUMP) dataset (https://www.qld.gov.au/environment/land/vegetation/mapping/qlump/). - A Landsat-derived water index was used to mask water bodies from each individual FPC image (Danaher and Collett 2006). An additional mask is applied for areas with persistent inundation based on multi-temporal analysis of the water index. - A topographic correction based on the 1 second SRTM derived Digital Surface Model, Version 1.0, was applied to misclassified steep east-facing slopes. The SRTM data consisted of a DEM and slope layer as processed by Geosciences Australia. Spatial Data Format Foliage projective cover 2011 - Warwick documentDigital Foliage Projective Cover (FPC) is the percentage of ground area occupied by the vertical projection of foliage. The Remote Sensing Centre FPC mapping is based on an automated decision tree classification technique applied to dry season (May to October) Landsat 5 TM imagery for the period 1986-2011. The product has a nominal accuracy of 85%. The field data used to calibrate the imagery/FPC relationship was mostly collected over the period 1996-1999. Additional corrections were also applied to the final product to remove errors due to topographic effects, cloud, cloud shadow, water, cropping, regrowth and wooded vegetation clearing. Some errors may remain. This product has more precise FPC predictions than previous versions. The analysis has been completed on each of 90 satellite scenes. While some land cover change may be detected in the FPC processing, this product is not designed to generate clearing layers, and cannot be used to assess clearing or be compared with previous years for change monitoring. The Statewide Landcover and Trees Study (SLATS) produces accurate clearing layers for this purpose. Description: FPC is the percentage of ground area occupied by the vertical projection of foliage. FPC Image (lztmre_warw_e8811_chtm6.img). Image value = FPC 100 (i.e. FPC of 5% = image value of 105). The pixel values in this data set represent the predicted Foliage Projective Cover (FPC) values. Range is 100-200 which is equivalent to 0-100% FPC. Values erroneously predicted above 100% or below 0% have been classed as 200 and 100 respectively. Zero values indicate null data. A number of datasets have been used to mask out certain features from the FPC dataset: - Cropping and plantation areas have been masked using the 1999 Queensland Land Use Mapping Program (QLUMP) dataset (https://www.qld.gov.au/environment/land/vegetation/mapping/qlump/). - A Landsat-derived water index was used to mask water bodies from each individual FPC image (Danaher and Collett 2006). An additional mask is applied for areas with persistent inundation based on multi-temporal analysis of the water index. - A topographic correction based on the 1 second SRTM derived Digital Surface Model, Version 1.0, was applied to misclassified steep east-facing slopes. The SRTM data consisted of a DEM and slope layer as processed by Geosciences Australia. Spatial Data Format Foliage projective cover 2011 - Weipa documentDigital Foliage Projective Cover (FPC) is the percentage of ground area occupied by the vertical projection of foliage. The Remote Sensing Centre FPC mapping is based on an automated decision tree classification technique applied to dry season (May to October) Landsat 5 TM imagery for the period 1986-2011. The product has a nominal accuracy of 85%. The field data used to calibrate the imagery/FPC relationship was mostly collected over the period 1996-1999. Additional corrections were also applied to the final product to remove errors due to topographic effects, cloud, cloud shadow, water, cropping, regrowth and wooded vegetation clearing. Some errors may remain. This product has more precise FPC predictions than previous versions. The analysis has been completed on each of 90 satellite scenes. While some land cover change may be detected in the FPC processing, this product is not designed to generate clearing layers, and cannot be used to assess clearing or be compared with previous years for change monitoring. The Statewide Landcover and Trees Study (SLATS) produces accurate clearing layers for this purpose. Description: FPC is the percentage of ground area occupied by the vertical projection of foliage. FPC Image (lztmre_weip_e8811_chtm4.img). Image value = FPC 100 (i.e. FPC of 5% = image value of 105). The pixel values in this data set represent the predicted Foliage Projective Cover (FPC) values. Range is 100-200 which is equivalent to 0-100% FPC. Values erroneously predicted above 100% or below 0% have been classed as 200 and 100 respectively. Zero values indicate null data. A number of datasets have been used to mask out certain features from the FPC dataset: - Cropping and plantation areas have been masked using the 1999 Queensland Land Use Mapping Program (QLUMP) dataset (https://www.qld.gov.au/environment/land/vegetation/mapping/qlump/). - A Landsat-derived water index was used to mask water bodies from each individual FPC image (Danaher and Collett 2006). An additional mask is applied for areas with persistent inundation based on multi-temporal analysis of the water index. - A topographic correction based on the 1 second SRTM derived Digital Surface Model, Version 1.0, was applied to misclassified steep east-facing slopes. The SRTM data consisted of a DEM and slope layer as processed by Geosciences Australia. Spatial Data Format Foliage projective cover 2011 - Whitsunday documentDigital Foliage Projective Cover (FPC) is the percentage of ground area occupied by the vertical projection of foliage. The Remote Sensing Centre FPC mapping is based on an automated decision tree classification technique applied to dry season (May to October) Landsat 5 TM imagery for the period 1986-2011. The product has a nominal accuracy of 85%. The field data used to calibrate the imagery/FPC relationship was mostly collected over the period 1996-1999. Additional corrections were also applied to the final product to remove errors due to topographic effects, cloud, cloud shadow, water, cropping, regrowth and wooded vegetation clearing. Some errors may remain. This product has more precise FPC predictions than previous versions. The analysis has been completed on each of 90 satellite scenes. While some land cover change may be detected in the FPC processing, this product is not designed to generate clearing layers, and cannot be used to assess clearing or be compared with previous years for change monitoring. The Statewide Landcover and Trees Study (SLATS) produces accurate clearing layers for this purpose. Description: FPC is the percentage of ground area occupied by the vertical projection of foliage. FPC Image (lztmre_whit_e8811_chtm5.img). Image value = FPC 100 (i.e. FPC of 5% = image value of 105). The pixel values in this data set represent the predicted Foliage Projective Cover (FPC) values. Range is 100-200 which is equivalent to 0-100% FPC. Values erroneously predicted above 100% or below 0% have been classed as 200 and 100 respectively. Zero values indicate null data. A number of datasets have been used to mask out certain features from the FPC dataset: - Cropping and plantation areas have been masked using the 1999 Queensland Land Use Mapping Program (QLUMP) dataset (https://www.qld.gov.au/environment/land/vegetation/mapping/qlump/). - A Landsat-derived water index was used to mask water bodies from each individual FPC image (Danaher and Collett 2006). An additional mask is applied for areas with persistent inundation based on multi-temporal analysis of the water index. - A topographic correction based on the 1 second SRTM derived Digital Surface Model, Version 1.0, was applied to misclassified steep east-facing slopes. The SRTM data consisted of a DEM and slope layer as processed by Geosciences Australia. Spatial Data Format Foliage projective cover 2011 - Windorah documentDigital Foliage Projective Cover (FPC) is the percentage of ground area occupied by the vertical projection of foliage. The Remote Sensing Centre FPC mapping is based on an automated decision tree classification technique applied to dry season (May to October) Landsat 5 TM imagery for the period 1986-2011. The product has a nominal accuracy of 85%. The field data used to calibrate the imagery/FPC relationship was mostly collected over the period 1996-1999. Additional corrections were also applied to the final product to remove errors due to topographic effects, cloud, cloud shadow, water, cropping, regrowth and wooded vegetation clearing. Some errors may remain. This product has more precise FPC predictions than previous versions. The analysis has been completed on each of 90 satellite scenes. While some land cover change may be detected in the FPC processing, this product is not designed to generate clearing layers, and cannot be used to assess clearing or be compared with previous years for change monitoring. The Statewide Landcover and Trees Study (SLATS) produces accurate clearing layers for this purpose. Description: FPC is the percentage of ground area occupied by the vertical projection of foliage. FPC Image (lztmre_wind_e8811_chtm4.img). Image value = FPC 100 (i.e. FPC of 5% = image value of 105). The pixel values in this data set represent the predicted Foliage Projective Cover (FPC) values. Range is 100-200 which is equivalent to 0-100% FPC. Values erroneously predicted above 100% or below 0% have been classed as 200 and 100 respectively. Zero values indicate null data. A number of datasets have been used to mask out certain features from the FPC dataset: - Cropping and plantation areas have been masked using the 1999 Queensland Land Use Mapping Program (QLUMP) dataset (https://www.qld.gov.au/environment/land/vegetation/mapping/qlump/). - A Landsat-derived water index was used to mask water bodies from each individual FPC image (Danaher and Collett 2006). An additional mask is applied for areas with persistent inundation based on multi-temporal analysis of the water index. - A topographic correction based on the 1 second SRTM derived Digital Surface Model, Version 1.0, was applied to misclassified steep east-facing slopes. The SRTM data consisted of a DEM and slope layer as processed by Geosciences Australia. Spatial Data Format Foliage projective cover 2011 - Winton documentDigital Foliage Projective Cover (FPC) is the percentage of ground area occupied by the vertical projection of foliage. The Remote Sensing Centre FPC mapping is based on an automated decision tree classification technique applied to dry season (May to October) Landsat 5 TM imagery for the period 1986-2011. The product has a nominal accuracy of 85%. The field data used to calibrate the imagery/FPC relationship was mostly collected over the period 1996-1999. Additional corrections were also applied to the final product to remove errors due to topographic effects, cloud, cloud shadow, water, cropping, regrowth and wooded vegetation clearing. Some errors may remain. This product has more precise FPC predictions than previous versions. The analysis has been completed on each of 90 satellite scenes. While some land cover change may be detected in the FPC processing, this product is not designed to generate clearing layers, and cannot be used to assess clearing or be compared with previous years for change monitoring. The Statewide Landcover and Trees Study (SLATS) produces accurate clearing layers for this purpose. Description: FPC is the percentage of ground area occupied by the vertical projection of foliage. FPC Image (lztmre_wint_e8811_chtm4.img). Image value = FPC 100 (i.e. FPC of 5% = image value of 105). The pixel values in this data set represent the predicted Foliage Projective Cover (FPC) values. Range is 100-200 which is equivalent to 0-100% FPC. Values erroneously predicted above 100% or below 0% have been classed as 200 and 100 respectively. Zero values indicate null data. A number of datasets have been used to mask out certain features from the FPC dataset: - Cropping and plantation areas have been masked using the 1999 Queensland Land Use Mapping Program (QLUMP) dataset (https://www.qld.gov.au/environment/land/vegetation/mapping/qlump/). - A Landsat-derived water index was used to mask water bodies from each individual FPC image (Danaher and Collett 2006). An additional mask is applied for areas with persistent inundation based on multi-temporal analysis of the water index. - A topographic correction based on the 1 second SRTM derived Digital Surface Model, Version 1.0, was applied to misclassified steep east-facing slopes. The SRTM data consisted of a DEM and slope layer as processed by Geosciences Australia. Spatial Data Format Foliage projective cover 2011 - Wolverton documentDigital Foliage Projective Cover (FPC) is the percentage of ground area occupied by the vertical projection of foliage. The Remote Sensing Centre FPC mapping is based on an automated decision tree classification technique applied to dry season (May to October) Landsat 5 TM imagery for the period 1986-2011. The product has a nominal accuracy of 85%. The field data used to calibrate the imagery/FPC relationship was mostly collected over the period 1996-1999. Additional corrections were also applied to the final product to remove errors due to topographic effects, cloud, cloud shadow, water, cropping, regrowth and wooded vegetation clearing. Some errors may remain. This product has more precise FPC predictions than previous versions. The analysis has been completed on each of 90 satellite scenes. While some land cover change may be detected in the FPC processing, this product is not designed to generate clearing layers, and cannot be used to assess clearing or be compared with previous years for change monitoring. The Statewide Landcover and Trees Study (SLATS) produces accurate clearing layers for this purpose. Description: FPC is the percentage of ground area occupied by the vertical projection of foliage. FPC Image (lztmre_wolv_e8811_chtm4.img). Image value = FPC 100 (i.e. FPC of 5% = image value of 105). The pixel values in this data set represent the predicted Foliage Projective Cover (FPC) values. Range is 100-200 which is equivalent to 0-100% FPC. Values erroneously predicted above 100% or below 0% have been classed as 200 and 100 respectively. Zero values indicate null data. A number of datasets have been used to mask out certain features from the FPC dataset: - Cropping and plantation areas have been masked using the 1999 Queensland Land Use Mapping Program (QLUMP) dataset (https://www.qld.gov.au/environment/land/vegetation/mapping/qlump/). - A Landsat-derived water index was used to mask water bodies from each individual FPC image (Danaher and Collett 2006). An additional mask is applied for areas with persistent inundation based on multi-temporal analysis of the water index. - A topographic correction based on the 1 second SRTM derived Digital Surface Model, Version 1.0, was applied to misclassified steep east-facing slopes. The SRTM data consisted of a DEM and slope layer as processed by Geosciences Australia. Spatial Data Format Foliage projective cover 2011 - Yeppoon documentDigital Foliage Projective Cover (FPC) is the percentage of ground area occupied by the vertical projection of foliage. The Remote Sensing Centre FPC mapping is based on an automated decision tree classification technique applied to dry season (May to October) Landsat 5 TM imagery for the period 1986-2011. The product has a nominal accuracy of 85%. The field data used to calibrate the imagery/FPC relationship was mostly collected over the period 1996-1999. Additional corrections were also applied to the final product to remove errors due to topographic effects, cloud, cloud shadow, water, cropping, regrowth and wooded vegetation clearing. Some errors may remain. This product has more precise FPC predictions than previous versions. The analysis has been completed on each of 90 satellite scenes. While some land cover change may be detected in the FPC processing, this product is not designed to generate clearing layers, and cannot be used to assess clearing or be compared with previous years for change monitoring. The Statewide Landcover and Trees Study (SLATS) produces accurate clearing layers for this purpose. Description: FPC is the percentage of ground area occupied by the vertical projection of foliage. FPC Image (lztmre_yepp_e8811_chtm6.img). Image value = FPC 100 (i.e. FPC of 5% = image value of 105). The pixel values in this data set represent the predicted Foliage Projective Cover (FPC) values. Range is 100-200 which is equivalent to 0-100% FPC. Values erroneously predicted above 100% or below 0% have been classed as 200 and 100 respectively. Zero values indicate null data. A number of datasets have been used to mask out certain features from the FPC dataset: - Cropping and plantation areas have been masked using the 1999 Queensland Land Use Mapping Program (QLUMP) dataset (https://www.qld.gov.au/environment/land/vegetation/mapping/qlump/). - A Landsat-derived water index was used to mask water bodies from each individual FPC image (Danaher and Collett 2006). An additional mask is applied for areas with persistent inundation based on multi-temporal analysis of the water index. - A topographic correction based on the 1 second SRTM derived Digital Surface Model, Version 1.0, was applied to misclassified steep east-facing slopes. The SRTM data consisted of a DEM and slope layer as processed by Geosciences Australia. Spatial Data Format Foliage projective cover 2011 - York Island documentDigital Foliage Projective Cover (FPC) is the percentage of ground area occupied by the vertical projection of foliage. The Remote Sensing Centre FPC mapping is based on an automated decision tree classification technique applied to dry season (May to October) Landsat 5 TM imagery for the period 1986-2011. The product has a nominal accuracy of 85%. The field data used to calibrate the imagery/FPC relationship was mostly collected over the period 1996-1999. Additional corrections were also applied to the final product to remove errors due to topographic effects, cloud, cloud shadow, water, cropping, regrowth and wooded vegetation clearing. Some errors may remain. This product has more precise FPC predictions than previous versions. The analysis has been completed on each of 90 satellite scenes. While some land cover change may be detected in the FPC processing, this product is not designed to generate clearing layers, and cannot be used to assess clearing or be compared with previous years for change monitoring. The Statewide Landcover and Trees Study (SLATS) produces accurate clearing layers for this purpose. Description: FPC is the percentage of ground area occupied by the vertical projection of foliage. FPC Image (lztmre_york_e8811_chtm4.img). Image value = FPC 100 (i.e. FPC of 5% = image value of 105). The pixel values in this data set represent the predicted Foliage Projective Cover (FPC) values. Range is 100-200 which is equivalent to 0-100% FPC. Values erroneously predicted above 100% or below 0% have been classed as 200 and 100 respectively. Zero values indicate null data. A number of datasets have been used to mask out certain features from the FPC dataset: - Cropping and plantation areas have been masked using the 1999 Queensland Land Use Mapping Program (QLUMP) dataset (https://www.qld.gov.au/environment/land/vegetation/mapping/qlump/). - A Landsat-derived water index was used to mask water bodies from each individual FPC image (Danaher and Collett 2006). An additional mask is applied for areas with persistent inundation based on multi-temporal analysis of the water index. - A topographic correction based on the 1 second SRTM derived Digital Surface Model, Version 1.0, was applied to misclassified steep east-facing slopes. The SRTM data consisted of a DEM and slope layer as processed by Geosciences Australia. Spatial Data Format Foliage projective cover 2011 - Mt Dot documentDigital Foliage Projective Cover (FPC) is the percentage of ground area occupied by the vertical projection of foliage. The Remote Sensing Centre FPC mapping is based on an automated decision tree classification technique applied to dry season (May to October) Landsat 5 TM imagery for the period 1986-2011. The product has a nominal accuracy of 85%. The field data used to calibrate the imagery/FPC relationship was mostly collected over the period 1996-1999. Additional corrections were also applied to the final product to remove errors due to topographic effects, cloud, cloud shadow, water, cropping, regrowth and wooded vegetation clearing. Some errors may remain. This product has more precise FPC predictions than previous versions. The analysis has been completed on each of 90 satellite scenes. While some land cover change may be detected in the FPC processing, this product is not designed to generate clearing layers, and cannot be used to assess clearing or be compared with previous years for change monitoring. The Statewide Landcover and Trees Study (SLATS) produces accurate clearing layers for this purpose. Description: FPC is the percentage of ground area occupied by the vertical projection of foliage. FPC Image (lztmre_mtdo_e8811_chtm4.img). Image value = FPC 100 (i.e. FPC of 5% = image value of 105). The pixel values in this data set represent the predicted Foliage Projective Cover (FPC) values. Range is 100-200 which is equivalent to 0-100% FPC. Values erroneously predicted above 100% or below 0% have been classed as 200 and 100 respectively. Zero values indicate null data. A number of datasets have been used to mask out certain features from the FPC dataset: - Cropping and plantation areas have been masked using the 1999 Queensland Land Use Mapping Program (QLUMP) dataset (https://www.qld.gov.au/environment/land/vegetation/mapping/qlump/). - A Landsat-derived water index was used to mask water bodies from each individual FPC image (Danaher and Collett 2006). An additional mask is applied for areas with persistent inundation based on multi-temporal analysis of the water index. - A topographic correction based on the 1 second SRTM derived Digital Surface Model, Version 1.0, was applied to misclassified steep east-facing slopes. The SRTM data consisted of a DEM and slope layer as processed by Geosciences Australia. Spatial Data Format