4650081c-a7e9-4599-ab99-b738fcad1619 urn:uuid eng UTF-8 nonGeographicDataset nonGeographicDataset 2025-06-25T09:29:06 creation ISO 19115 2016 Fractional Cover - MODIS, CSIRO algorithm 4650081c-a7e9-4599-ab99-b738fcad1619 Vegetation Fractional Cover represents the exposed proportion of Photosynthetic Vegetation (PV), Non-Photosynthetic Vegetation (NPV) and Bare Soil (BS) within each pixel. The sum of the three fractions is 100% (+/- 3%) and shown in Red/Green/Blue colors. In forested canopies the photosynthetic or non-photosynthetic portions of trees may obscure those of the grass layer and/or bare soil. This product is derived from the MODIS Nadir BRDF-Adjusted Reflectance product (MCD43A4) collection 6 and has 500 meters spatial resolution. A suite of derivative products are also produced including monthly fractional cover, total vegetation cover (PV+NPV), and anomaly of total cover against the time series. Monthly: The monthly product is aggregated from the 8-day composites using the medoid method. Anomaly: represents the difference between total vegetation cover (PV+NPV) in a given month and the mean total vegetation cover for that month in all years available, expressed in units of cover. For example, if the mean vegetation cover in January (2001-current year) was 40% and the vegetation cover for the pixel in January 2018 was 30%, the anomaly for the pixel in Jan 2018 would be -10%. Decile: represents the ranking (in ten value intervals) for the total vegetation cover in a given month in relation to the vegetation cover in that month for all years in the time-series. MODIS fractional cover has been validated for Australia. {"type": "Polygon", "coordinates": [[[-180.0, -90.0], [180.0, -90.0], [180.0, 90.0], [-180.0, 90.0], [-180.0, -90.0]]]} -180.0 180.0 -90.0 90.0 Guerschman, J. P., & Hill, M. J. (2018). Calibration and validation of the Australian fractional cover product for MODIS collection 6. Remote Sensing Letters, 9(7), 696–705. documentDigital Related documentation HTML Guerschman et al (2015). Assessing the effects of site heterogeneity and soil properties when unmixing photosynthetic vegetation, non-photosynthetic vegetation and bare soil fractions from Landsat and MODIS data. Remote Sensing of Environment documentDigital Related documentation HTML Gill, T., Heidenreich, S. and Guerschman, J (2014). MODIS monthly fractional cover: product creation and distribution. The Joint Remote Sensing Research Program Publication Series. St. Lucia, QLD, Australia: The University of Queensland. documentDigital Related documentation HTML Flood, N. (2013). Seasonal Composite Landsat TM/ETM+ Images Using the Medoid (a Multi-Dimensional Median). Remote Sensing 5, 6481–6500. documentDigital Related documentation HTML README file - additional detail including the naming convention for the data files documentDigital Related documentation TXT NCI Thredds Server documentDigital HTML Guerschman, J. P., & Hill, M. J. (2018). Calibration and validation of the Australian fractional cover product for MODIS collection 6. Remote Sensing Letters, 9(7), 696–705. documentDigital Related documentation HTML Guerschman et al (2015). Assessing the effects of site heterogeneity and soil properties when unmixing photosynthetic vegetation, non-photosynthetic vegetation and bare soil fractions from Landsat and MODIS data. Remote Sensing of Environment documentDigital Related documentation HTML Gill, T., Heidenreich, S. and Guerschman, J (2014). MODIS monthly fractional cover: product creation and distribution. The Joint Remote Sensing Research Program Publication Series. St. Lucia, QLD, Australia: The University of Queensland. documentDigital Related documentation HTML Flood, N. (2013). Seasonal Composite Landsat TM/ETM+ Images Using the Medoid (a Multi-Dimensional Median). Remote Sensing 5, 6481–6500. documentDigital Related documentation HTML README file - additional detail including the naming convention for the data files documentDigital Related documentation TXT GEOGLAM RAPP map (includes WMS sources) documentDigital HTML Guerschman, J. P., & Hill, M. J. (2018). Calibration and validation of the Australian fractional cover product for MODIS collection 6. Remote Sensing Letters, 9(7), 696–705. documentDigital Related documentation HTML Guerschman et al (2015). Assessing the effects of site heterogeneity and soil properties when unmixing photosynthetic vegetation, non-photosynthetic vegetation and bare soil fractions from Landsat and MODIS data. Remote Sensing of Environment documentDigital Related documentation HTML Gill, T., Heidenreich, S. and Guerschman, J (2014). MODIS monthly fractional cover: product creation and distribution. The Joint Remote Sensing Research Program Publication Series. St. Lucia, QLD, Australia: The University of Queensland. documentDigital Related documentation HTML Flood, N. (2013). Seasonal Composite Landsat TM/ETM+ Images Using the Medoid (a Multi-Dimensional Median). Remote Sensing 5, 6481–6500. documentDigital Related documentation HTML README file - additional detail including the naming convention for the data files documentDigital Related documentation TXT CSIRO Project Site documentDigital HTML Guerschman, J. P., & Hill, M. J. (2018). Calibration and validation of the Australian fractional cover product for MODIS collection 6. Remote Sensing Letters, 9(7), 696–705. documentDigital Related documentation HTML Guerschman et al (2015). Assessing the effects of site heterogeneity and soil properties when unmixing photosynthetic vegetation, non-photosynthetic vegetation and bare soil fractions from Landsat and MODIS data. Remote Sensing of Environment documentDigital Related documentation HTML Gill, T., Heidenreich, S. and Guerschman, J (2014). MODIS monthly fractional cover: product creation and distribution. The Joint Remote Sensing Research Program Publication Series. St. Lucia, QLD, Australia: The University of Queensland. documentDigital Related documentation HTML Flood, N. (2013). Seasonal Composite Landsat TM/ETM+ Images Using the Medoid (a Multi-Dimensional Median). Remote Sensing 5, 6481–6500. documentDigital Related documentation HTML README file - additional detail including the naming convention for the data files documentDigital Related documentation TXT modis_tot_cov_monthly documentDigital WMS Service for Total Fractional Cover WMS Guerschman, J. P., & Hill, M. J. (2018). Calibration and validation of the Australian fractional cover product for MODIS collection 6. Remote Sensing Letters, 9(7), 696–705. documentDigital Related documentation HTML Guerschman et al (2015). Assessing the effects of site heterogeneity and soil properties when unmixing photosynthetic vegetation, non-photosynthetic vegetation and bare soil fractions from Landsat and MODIS data. Remote Sensing of Environment documentDigital Related documentation HTML Gill, T., Heidenreich, S. and Guerschman, J (2014). MODIS monthly fractional cover: product creation and distribution. The Joint Remote Sensing Research Program Publication Series. St. Lucia, QLD, Australia: The University of Queensland. documentDigital Related documentation HTML Flood, N. (2013). Seasonal Composite Landsat TM/ETM+ Images Using the Medoid (a Multi-Dimensional Median). Remote Sensing 5, 6481–6500. documentDigital Related documentation HTML README file - additional detail including the naming convention for the data files documentDigital Related documentation TXT Landscape Data Visualiser - Fractional Cover - MODIS, CSIRO algorithm documentDigital HTML Guerschman, J. P., & Hill, M. J. (2018). Calibration and validation of the Australian fractional cover product for MODIS collection 6. Remote Sensing Letters, 9(7), 696–705. documentDigital Related documentation HTML Guerschman et al (2015). Assessing the effects of site heterogeneity and soil properties when unmixing photosynthetic vegetation, non-photosynthetic vegetation and bare soil fractions from Landsat and MODIS data. Remote Sensing of Environment documentDigital Related documentation HTML Gill, T., Heidenreich, S. and Guerschman, J (2014). MODIS monthly fractional cover: product creation and distribution. The Joint Remote Sensing Research Program Publication Series. St. Lucia, QLD, Australia: The University of Queensland. documentDigital Related documentation HTML Flood, N. (2013). Seasonal Composite Landsat TM/ETM+ Images Using the Medoid (a Multi-Dimensional Median). Remote Sensing 5, 6481–6500. documentDigital Related documentation HTML README file - additional detail including the naming convention for the data files documentDigital Related documentation TXT ro-crate-metadata.json documentDigital HTML Unnamed resource documentDigital PNG