Monthly Blended Fractional Cover - Landsat and Sentinel-2, JRSRP Algorithm Version 3.0, Queensland Coverage

Ver: 3.0

Status of Data: onGoing

Update Frequency: monthly

Security Classification: unclassified

Dataset Published: 2022-05-03

Dataset Last Modified: 2026-08-18

Metadata viewed 60246 times

Dataset accessed 229 times

Metadata Created: 2022-03-28

Metadata Last Modified: 2026-08-19

How to cite this collection:

Joint Remote Sensing Research Program & Department of the Environment, Tourism, Science and Innovation, Queensland Government (2022). Monthly Blended Fractional Cover - Landsat and Sentinel-2, JRSRP Algorithm Version 3.0, Queensland Coverage. Version 3.0. Terrestrial Ecosystem Research Network. Dataset. https://portal.tern.org.au/metadata/8d3c8b36-b4f1-420f-a3f4-824ab70fb367

Data can be accessed from the following links:

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 - present on a monthly basis. It is a spatially explicit raster product, which predicts vegetation cover at medium resolution (30 m per-pixel). This dataset consists of medoid-composited monthly fractional cover created from a combined Landsat 8 and Sentinel-2 time series.
A 3 band (byte) image is produced:

band 1 - bare ground fraction (in percent),

band 2 - green vegetation fraction (in percent),

band 3 - non-green vegetation fraction (in percent).

The no data value is 255.

Credit

We 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.
This dataset was produced by the Joint Remote Sensing Research Program using data sourced from US Geological Survey and the European Space Agency.

Purpose

This product captures variability in fractional cover at monthly time scales, forming a consistent time series from 2015 - present. It is useful for investigating more rapid changes than the three-month seasonal products. For example, the monthly dataset is used by the Queensland pastoral industry for improved monitoring of drought conditions. The green and non-green fractions may include a mix of woody and non-woody vegetation. For applications investigating long-term dynamics, the three-month seasonal product may be more appropriate.

This product is based upon the JRSRP Fractional Cover 3.0 algorithm.

Lineage

Data not provided.

Method DocumentationData not provided.

Procedure StepsData not provided.

Spatial Description

Queensland, Australia

Temporal Coverage

From 2015-12-01 to on going

Spatial Resolution

Distance of 30 Metres

Vertical Extent

Data not provided.

Data Quality Assessment Scope

1) All the data described here has been generated from the analysis of Level 1A Landsat OLI and Sentinel Level 1C (see Publications: Flood (2017).
2) The fractional cover model was compared to samples drawn from approximately 4000 field reference sites.

Data Quality Assessment Outcome

1) The Sentinel-2 Data Quality Report from ESA indicates that positional accuracy is on the order of 12 m. The USGS aims to provide Landsat image-to-image registration with an accuracy of 12 m.
2) The fractional cover model predicts the vegetation cover fractions with MAE/wMAPE/RMSE of:
bare - 6.9%/34.9%/14.5%
PV - 4.6%/37.9%/10.6%
NPV - 9.8%/25.2%/16.9%

ANZSRC - FOR

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GCMD Sciences

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Supplemental Information

Data 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.

Resource Specific Usage

Data not provided.

Environment Description

Data not provided.

80 Meiers Road, Indooroopilly, Queensland, 4068, Australia.

Creative Commons Attribution 4.0 International Licence

The Creative Commons Attribution 4.0 International (CC BY 4.0) license allows others to copy, distribute, display, and create derivative works provided that they credit the original source and any other nominated parties. Details are provided at https://creativecommons.org/licenses/by/4.0/

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 https://www.tern.org.au/research-publications/#reporting

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

Monthly Blended Fractional Cover - Landsat and Sentinel-2, JRSRP Algorithm Version 3.0, Queensland Coverage

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