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Data

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

Ver: 3.0
Status of Data: onGoing
Update Frequency: monthly
Security Classification: unclassifiedunclassified
Dataset Published: 2023-05-31
Dataset Last Modified: 2026-08-18
Metadata viewed 374 times
Dataset accessed 129 times
Metadata Created: 2022-11-07
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 (2023). Monthly Blended Ground 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/95366f4c-3fd4-4900-a8c5-a6a286b30762 
Data can be accessed from the following links:
HTTPCloud Optimised GeoTIFFs - Monthly Blended Ground Cover
WMSmonthly_ground_cover_v3
HTTPLandscape Data Visualiser - Monthly Blended Ground Cover - Landsat and Sentinel-2, JRSRP Algorithm Version 3.0, Queensland Coverage
HTTPVegmachine Timeseries Viewer
HTTPPoint-of-truth metadata URL
HTTPro-crate-metadata.json
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 (30 m per-pixel) for each calendar month across Queensland from 2017 to present. It is derived directly from both the Landsat-based fractional cover product and the Sentinel-2-based fractional cover product by Queensland's Remote Sensing Centre.
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.
This product is derived from the Monthly blended fractional cover - Landsat and Sentinel-2, JRSRP algorithm Version 3.0, Queensland coverage
 
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 (ESA) Copernicus Sentinel Program. 
Purpose
This product captures variability in ground cover at monthly time scales, forming a consistent time series from 2017 - present. The most recent two years are interim products, as there is a two year lag in finalising the persistent green product. The monthly ground cover product is useful for investigating more rapid changes than the 3-monthly seasonal products, for changes in ground cover and analysing regional comparisons. For applications that focus on all vegetation, the fractional cover product may be more suitable.
This product is based upon the JRSRP Fractional Cover 3.0 algorithm, which benefited from additional field validation and a new machine learning approach. 
Lineage
Data not provided. 
Method DocumentationData not provided.
Procedure StepsData not provided.
Spatial Description
Queensland 
Temporal Coverage
From null to on going 
Spatial Resolution

Data not provided.

Vertical Extent

Data not provided.

Data Quality Assessment Scope
Landsat 8 imagery rated as less than 80% cloud cover was downloaded from the USGS EarthExplorer website as level L1T imagery. Sentinel-2A data was downloaded from the ESA as Level 1C (version 02.04 system). Masks for cloud, cloud shadow, topographic shadow and water were applied as described in Flood (2017).
The monthly fractional cover model output was compared to roughly 4000 field sites. 
Data Quality Report
Data not provided. 
Data Quality Assessment Outcome
Data not provided. 
ANZSRC - FOR
Ecological applications
ENVIRONMENTAL SCIENCES
Data Stream
Satellite Remote Sensing
GCMD Sciences
LAND USE/LAND COVER
SOILS
VEGETATION - VEGETATION COVER
Horizontal Resolution
1 meter - < 30 meters
Parameters
bare soil fraction
non-photosynthetic vegetation fraction
photosynthetic vegetation fraction
Platforms
LANDSAT-7
LANDSAT-8
LANDSAT-9
Sentinel-2A
Sentinel-2B
Project
Earth Observation - Queensland Government
Joint Remote Sensing Research Program
Temporal Resolution
Weekly - < Monthly
Topic
environment
imageryBaseMapsEarthCover
Author
Joint Remote Sensing Research Program
Department of the Environment, Tourism, Science and Innovation, Queensland Government
Joint Remote Sensing Research Program
Department of the Environment, Tourism, Science and Innovation, Queensland Government
Contact Point
Data Enquiries, Earth Observation and Social Sciences (EOSS)
Publisher
Terrestrial Ecosystem Research Network
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. 
Terrestrial Ecosystem Research Network
80 Meiers Road, Indooroopilly, Queensland, 4068, Australia.
Contact Us
Creative Commons Attribution 4.0 International Licence
https://creativecommons.org/licenses/by/4.0/
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 
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 
Please cite this dataset as {Author} ({PublicationYear}). {Title}. {Version, as appropriate}. Terrestrial Ecosystem Research Network. Dataset. {Identifier}. 
It is not recommended that these data sets be used at scales more detailed than 1:100,000. 
Copyright 2010-2022. 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. 
Copyright 2010-2022. JRSRP. Rights owned by the Joint Remote Sensing Research Project (JRSRP). 
It is not recommended that these data sets be used at scales more detailed than 1:100,000. 
Please cite this dataset as {Author} ({PublicationYear}). {Title}. {Version, as appropriate}. Terrestrial Ecosystem Research Network. Dataset. {Identifier}. 
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.