Brief description
Two fractional cover decile products, green cover and total cover, are currently produced from the historical timeseries of seasonal fractional cover images across Australia, available for each 3-month calendar season. These products compare, at the per-pixel level, the level of cover for the specific season of interest against the long term cover for that same season. For each pixel, all cover values for the relevant seasons within a baseline period (1990 - 2020) are classified into deciles. The cover value for the pixel in the season of interest is then classified according to the decile in which it falls.This product is based upon the JRSRP Fractional Cover 3.0 algorithm.
Notes
Supplemental InformationData are available as cloud optimised GeoTIFF (COG) files. COG files are easier and more efficient for users to access data corresponding to particular areas of interest without the need to download the data first.
Lineage
Summary of processing:Seasonal composite of fractional cover > baseline statistics > seasonal cover deciles.
Data Creation
Rankings:
The seasonal fractional cover timeseries for the period 1990 - 2020 is used as a baseline. Every season is ranked against every available seasonal value within the baseline period, for the corresponding season, on a per-pixel basis.
Rankings are expressed as deciles, so a cover value which falls within the bottom 10% of values in the baseline period is given as decile 1, and a cover value which falls in the top 10% is given as decile 10. Two versions of this are created – one which ranks total cover (green + non-green), and one which ranks only the green fraction.
Because the seasonal composites are used, the data are representative of the season, and robust against outliers. The baseline period is sampled evenly across the whole period, so there is no bias towards the years with more imagery available.
Example:
For example, a total cover value for Spring 2013 is ranked against the total cover in all the Spring images in the baseline period. A green cover value in Spring 2013 is ranked against the green cover fractions in all the Spring images in the baseline period.
Seasonal fractional cover process:
Refer to the Methods section in Seasonal Fractional Cover - Landsat, JRSRP Algorithm Version 3.0, Australia Coverage.
Notes
CreditWe at TERN acknowledge the Traditional Owners and Custodians throughout Australia, New Zealand and all nations. We honour their profound connections to land, water, biodiversity and culture and pay our respects to their Elders past, present and emerging.
These decile datasets are an excellent way of identifying areas of low or high cover, relative to what is typical for that location and season.
Data Quality Assessment Scope
local :
dataset
<p>1) The input imagery was processed to level L1T by the USGS. Geodetic accuracy of the product depends on the image quality and the accuracy, number, and distribution of the ground control points.<br>
2) The fractional cover model was compared to samples drawn from approximately 4000 field reference sites.</p>
Data Quality Assessment Result
local :
Quality Result
<p>1) The USGS aims to provide image-to-image registration with an accuracy of 12 m. Refer to the <a href="https://www.usgs.gov/landsat-missions/landsat-8-data-users-handbook">Landsat 8 Data Users Handbook</a> for more detail.<br>
2) The fractional cover model predicts the vegetation cover fractions with MAE/wMAPE/RMSE of:<br>
bare - 6.9%/34.9%/14.5% <br>
PV - 4.6%/37.9%/10.6% <br>
NPV - 9.8%/25.2%/16.9%.<br>
Created: 2022-03-28
Issued: 2024-10-04
Modified: 2024-10-04
Data time period: 1990-01-01
text: Australia
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Point-of-truth metadata URL- URI : geonetwork.tern.org.au/geonetwork/srv/eng/catalog.search#/metadata/169dbb12-846f-4536-9dab-e31378d16b41
- global : 169dbb12-846f-4536-9dab-e31378d16b41
