Printed from the TERN Data Discovery portal
The maximum number of records allowed to be saved is 20.You have exceeded the limit.


154.643555,-10.574222 154.643555,-29.036961 137.900391,-29.036961 137.900391,-10.574222 154.643555,-10.574222


Seasonal ground cover statistics - Landsat, JRSRP algorithm, Queensland coverage


Long term temporal statistic products derived from the seasonal ground cover product for each fraction. Statistics include: 5th percentile minimum, mean, median, 95th percentile maximum, standard deviation and observation count. There is one raster image for each season and each bare and green fraction for the full time series of imagery available. Min/max (5th and 95th percentile) products are also made for each fraction using all seasonal ground cover images available.

This dataset was produced by the Joint Remote Sensing Research Program ( using data sourced from US Geological Survey.

These products display the variation of the seasonal ground cover fractions over long term temporal periods (e.g. 1990-2016).


Landsat surface reflectance data > multiple single-date fractional cover datasets > seasonal composite of fractional cover > seasonal persistent green > seasonal composite of ground cover > seasonal ground cover statistics

Temporal coverage

From 1990-01-01 To 2016-12-31


  • Date modified


Citation information

How to cite this collection:

Joint Remote Sensing Research Program (2021): Seasonal ground cover statistics - Landsat, JRSRP algorithm, Queensland coverage. Version 1.0.0. Terrestrial Ecosystem Research Network (TERN). Dataset.

Access data

This data can be accessed from the following websites

Access metadata

Source Metadata URL

Rights and Licensing

Creative Commons Attribution 4.0 International Licence

Copyright 2010-2021. JRSRP. Rights owned by the Joint Remote Sensing Research Project (JRSRP).
While every care is taken to ensure the accuracy of this information, the Joint Remote Sensing Research Project (JRSRP) makes no representations or warranties about its accuracy, reliability, completeness or suitability for any particular purpose and disclaims all responsibility and all liability (including without limitation, liability in negligence) for all expenses, losses, damages (including indirect or consequential damage) and costs which might be incurred as a result of the information being inaccurate or incomplete in any way and for any reason.
It is not recommended that these data sets be used at scales more detailed than 1:100,000.

TERN services are provided on an “as-is” and “as available” basis. Users use any TERN services at their discretion and risk. They will be solely responsible for any damage or loss whatsoever that results from such use including use of any data obtained through TERN and any analysis performed using the TERN infrastructure.
Web links to and from external, third party websites should not be construed as implying any relationships with and/or endorsement of the external site or its content by TERN.
Please advise any work or publications that use this data via the online form at