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Seasonal Ground Cover Summary Statistics - Sentinel-2, JRSRP Algorithm Version 3.0, Queensland Coverage 

Ver: 1
Status of Data: completed
Update Frequency: notPlanned
Security Classification: unclassified
Dataset Published: 2025-08-18
Dataset Last Modified: 2026-08-18
Metadata viewed 16 times
Dataset accessed 11 times
Metadata Created: 2025-07-29
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 (2025). Seasonal Ground Cover Summary Statistics - Sentinel-2, JRSRP Algorithm Version 3.0, Queensland Coverage. Version 1. Terrestrial Ecosystem Research Network. Dataset. https://portal.tern.org.au/metadata/ff79d479-84a4-4801-beea-1c5b1b50541b 
Data can be accessed from the following links:
HTTPCloud Optimised GeoTIFFs - Seasonal Ground Cover Summary Statistics - Queensland
WMStime series statistics
HTTPLandscape Data Visualiser - Seasonal Ground Cover Summary Statistics - Sentinel-2, JRSRP Algorithm Version 3.0, Queensland Coverage
HTTPPoint-of-truth metadata URL
HTTPro-crate-metadata.json
These Seasonal Ground Cover Statistics datasets provide long-term statistical summaries derived from the sentinel2-based seasonal ground cover v3 product, calculated separately for each ground cover fraction. Two distinct product types are available, differentiated by their seasonal aggregation and statistical content.

1. All-Seasons Percentile Summary (Product Code: aj6) This product summarises the 5th and 95th percentiles across all seasons for each ground cover fraction. It is delivered as a 2-band image, capturing the overall long-term minimum and maximum percentiles across the full time series.

2. Seasonal Statistics per Fraction (Product Code: aj7) For each season and ground cover fraction, a separate raster image is generated for the full time series of available imagery. Each image includes the following statistical layers: 5th percentile (minimum), Mean, Median, 95th percentile (maximum), Standard deviation, and Observation count. 
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 using data sourced from the European Space Agency.
 
Purpose
These products display the variation of the sentinel2 seasonal ground cover fractions over long term temporal periods (e.g. 2017-2024). These products are based on the JRSRP Fractional Cover 3.0 algorithm. 
Lineage
Data not provided. 
Method DocumentationData not provided.
Procedure StepsData not provided.
Spatial Description
Queensland 
Temporal Coverage
From 2017-01-01 to 2024-12-31 
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 Sentinel-2 data, which has a spatial resolution of approximately 10 m in the Blue, Green, Red and Near Infra-red (NIR) bands, and 20 m in the two Short Wave Infra-red (SWIR) band. The 20 m bands have been resampled to 10 m using cubic convolution, to provide a consistent 10 m data set. The imagery is rectified during processing by the European Space Agency (ESA), and not modified spatially beyond that.

2) The fractional cover model was compared to samples drawn from approximately 4000 field reference sites. 
Data Quality Report
Data not provided. 
Data Quality Assessment Outcome
1) The Sentinel-2 Data Quality Report from ESA indicates that positional accuracy is on the order 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
Climate change impacts and adaptation
Environmental management
Data Stream
Satellite Remote Sensing
GCMD Sciences
LAND USE/LAND COVER
VEGETATION
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
Sentinel-2C
Project
TERN Landscapes
Temporal Resolution
Seasonal
Topic
environment
imageryBaseMapsEarthCover
Author
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. 
By Parent record
Seasonal Ground Cover - Sentinel-2, JRSRP Algorithm Version 3.0, Queensland Coverage
Terrestrial Ecosystem Research Network
80 Meiers Road, Indooroopilly, Queensland, 4068, Australia.
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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/ 
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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}. 
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.
 
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