-
Uncrewed Aircraft System (UAS) RGB and Multispectral Imagery Data - Calperum...
Terrestrial Ecosystem Research Network's Data Discovery
This dataset contains RGB and multispectral imagery collected at TERN’s Calperum Mallee SuperSite during a field trial of an Uncrewed Aircraft System (UAS), conducted to assess... -
Monthly Blended Fractional Cover - Landsat and Sentinel-2, JRSRP Algorithm...
Terrestrial Ecosystem Research Network's Data Discovery
The monthly fractional cover product shows representative values for the proportion of bare ground, green and non-green ground cover for Queensland, Australia, from 2015 -... -
Winter and Summer Crop Mapping – Landsat, Sentinel-2 and MODIS, Queensland,...
Terrestrial Ecosystem Research Network's Data Discovery
This dataset shows the broad groups of crops grown in the main cropping areas of Queensland, for the winter and summer growing seasons from 1990 to the current year. The winter... -
Water Count Time Series - Landsat, DETSI Algorithm, Queensland
Terrestrial Ecosystem Research Network's Data Discovery
This dataset indicates the presence and persistence of water across Queensland between 1988 and 2022. Water is one of the world’s most important resources as it’s critical for... -
Linear Seasonal Persistent Green Trend - Landsat, QLD DES Algorithm, QLD and...
Terrestrial Ecosystem Research Network's Data Discovery
The linear seasonal persistent green trend is derived from analysis of the seasonal persistent green product over time. The current version is based on the 1987-2014 period.... -
Seasonal Fractional Cover - Landsat, JRSRP Algorithm Version 3.0, Australia Coverage
Terrestrial Ecosystem Research Network's Data Discovery
The seasonal fractional cover product shows representative values for the proportion of bare, green and non-green cover across a season. It is a spatially explicit raster... -
Seasonal Fractional Cover - Sentinel-2, JRSRP Algorithm Version 3.0, Eastern...
Terrestrial Ecosystem Research Network's Data Discovery
The seasonal fractional cover product shows representative values for the proportion of bare, green and non-green cover, created from a time series of Sentinel-2 imagery. It is... -
Sentinel-2 Fire Scars - DETSI Algorithm, QLD Coverage
Terrestrial Ecosystem Research Network's Data Discovery
Statewide composite of fire scars (burnt area) derived from all available Sentinel-2 images acquired over Queensland. It is available in both monthly and annual composites. Fire... -
Dronescape: UAV Observations of TERN Ecosystem Surveillance Monitoring...
Terrestrial Ecosystem Research Network's Data Discovery
Dronescape Dataset Description Dronescape is a research infrastructure initiative within TERN that integrates uncrewed aerial vehicle (UAV) remote sensing techniques into... -
Annual Fire Scars - Landsat, QLD DES Algorithm, QLD Coverage
Terrestrial Ecosystem Research Network's Data Discovery
The data set is a statewide annual composite of fire scars (burnt area) derived from all available Landsat 5, 7 and 8 images acquired over the period January to December using... -
Seasonal Ground Cover Summary Statistics - Landsat, JRSRP Algorithm Version...
Terrestrial Ecosystem Research Network's Data Discovery
The Seasonal Ground Cover Summary Statistics datasets provide long-term statistical summaries derived from the seasonal ground cover v3 data, calculated separately for each... -
Brigalow Belt Bioregion Spatial BioCondition, 2021, Version 2.0
Terrestrial Ecosystem Research Network's Data Discovery
This is a spatial dataset comprising predictions of vegetation condition for biodiversity for the Brigalow Belt bioregion. The dataset was created using a gradient boosting... -
Seasonal Ground Cover - Landsat, JRSRP Algorithm Version 3.0, Australia Coverage
Terrestrial Ecosystem Research Network's Data Discovery
The seasonal fractional ground cover product is a spatially explicit raster product that shows the proportion of bare ground, green and non-green ground cover at medium... -
Monthly Blended Ground Cover - Landsat and Sentinel-2, JRSRP Algorithm...
Terrestrial Ecosystem Research Network's Data Discovery
The monthly blended ground cover product is a spatially explicit raster product that shows the proportion of bare ground, green and non-green ground cover at medium resolution... -
Climate Adjusted Seasonal Persistent Green Trend – Landsat, QLD DES...
Terrestrial Ecosystem Research Network's Data Discovery
The climate adjusted linear seasonal persistent green trend is derived from analysis of the linear seasonal persistent green trend, adjusted for rainfall. The current version is... -
Foliage Projective Cover - Sentinel-2, DETSI Algorithm, QLD Coverage
Terrestrial Ecosystem Research Network's Data Discovery
For some time, Remote Sensing Sciences, has produced Foliage Projective Cover (FPC) using a model applied to Landsat surface reflectance imagery, calibrated by field... -
Woody vegetation cover - Landsat, JRSRP, Australian coverage, 2000-2010
Terrestrial Ecosystem Research Network's Data Discovery
Three maps are available: 1) foliage projective cover, 2) forest extent, attributed with the foliage projective cover and 3) accuracy of the extent maps, which also acts as... -
Seasonal Cover Deciles - Landsat, JRSRP Algorithm Version 3.0, Australia Coverage
Terrestrial Ecosystem Research Network's Data Discovery
Two fractional cover decile products, green cover and total cover, are currently produced from the historical timeseries of seasonal fractional cover images across Australia,... -
Central Queensland Coast Bioregion Spatial BioCondition, 2021, Version 2.0
Terrestrial Ecosystem Research Network's Data Discovery
This is a spatial dataset comprising predictions of vegetation condition for biodiversity for the Central Queensland Coast bioregion. The dataset was created using a gradient... -
Seasonal Persistent Green - Landsat, JRSRP Algorithm Version 3.0, Australia Coverage
Terrestrial Ecosystem Research Network's Data Discovery
An estimate of persistent green cover per season across Australia from 1989 to the present season, minus 2 years. This is intended to estimate the portion of vegetation that...