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154.5,-9.5 154.5,-44.5 112.5,-44.5 112.5,-9.5 154.5,-9.5


Seasonal fractional cover - Landsat, JRSRP algorithm, Australia coverage


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 product, which predicts vegetation cover at medium resolution (30 m per-pixel) for each 3-month calendar season. The green and non-green fractions may include a mix of woody and non-woody vegetation.

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

This product captures variability in fractional cover at seasonal (i.e. three-monthly) time scales, forming a consistent time series from 1987 - present. It is useful for investigating inter-annual changes in vegetation cover and analysing regional comparisons. For applications that focus on non-woody vegetation, the ground cover product, derived from fractional cover, may be more suitable. For applications investigating rapid change during a season, monthly composite or single-date (available on request) fractional cover products may be more appropriate. Note: A new fractional cover algorithm will be implemented during 2021, based on additional field validation and a new machine learning approach.


Summary of processing: Landsat surface reflectance data > multiple single-date fractional cover datasets > medoid calculation for seasonal composite of fractional cover
Further details are provided in the Methods section.

Temporal coverage

From 1987-12-01


  • Date modified


Citation information

How to cite this collection:

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

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Rights and Licensing

Creative Commons Attribution 4.0 International Licence

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It is not recommended that these data sets be used at scales more detailed than 1:100,000.