logo
Data

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

Ver: 1
Status of Data: completed
Update Frequency: notPlanned
Security Classification: unclassified
Record Last Modified: 2025-12-02
Viewed 7 times
Accessed 3 times
Dataset Created: 2025-07-01
Dataset Published: 2025-08-18
Data can be accessed from the following links:
HTTPPoint-of-truth metadata URLHTTPCloud Optimised GeoTIFFs - Seasonal Fractional Cover Summary Statistics - QueenslandWMSSeasonal Fractional Cover_v3_Sentinel-2_time series statisticsHTTPLandscape Data Visualiser - Seasonal Fractional Cover Summary Statistics - Sentinel-2, JRSRP Algorithm Version 3.0, Queensland CoverageHTTPro-crate-metadata.json
How to cite this collection:
Joint Remote Sensing Research Program & Department of the Environment, T. (2025). Seasonal Fractional 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/dae5c8ad-e213-4904-9231-17dc10b58ed4 
These Seasonal Fractional Cover Summary Statistics datasets provide long-term statistical summaries derived from the sentinel2-based seasonal fractional cover v3 product, calculated separately for each fraction.

For each 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 fractional cover fractions over long term temporal periods (e.g. 2017-2024). They are based on the JRSRP Fractional Cover v3.0 algorithm. 
Lineage
Sentinel2 surface reflectance data > multiple single-date fractional cover datasets > seasonal composite of fractional cover > seasonal fractional cover summary statistics 
Method DocumentationFlood, N. (2013). Seasonal Composite Landsat TM/ETM+ Images Using the Medoid (a Multi-Dimensional Median). Remote Sensing, 5(12), 6481–6500.
Procedure Steps

1. 

The long-term statistical summary products are derived from the sentinel2 seasonal fractional cover product, also produced by the QLD DETSI earth observation team. The statistical products are derived from the full time series of imagery available for each season, defined by standard calendar seasons. 

2. 

Seasonal Statistics - 6 Band images:

band 1 – 5th percentile minimum - robust minimum value for that pixel over the length of the full time series (percentage)

band 2 – mean value for pixel over full time series (percentage)

band 3 – median value for pixel over full time series (percentage)

band 4 – 95th percentile maximum - robust maximum value for that pixel over the length of the full time series (percentage)

band 5 – Standard deviation - the temporal standard deviation of the full time-series

band 6 – Count - the number of observations statistics for that pixel are based on for that season only. 

Queensland
Temporal Coverage
From 2017-01-01 to 2024-12-31 
Spatial Resolution

Distance of 10 Meters

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
GCMD Sciences
BIOSPHERE - VEGETATION COVER
LAND SURFACE - LAND USE/LAND COVER
Horizontal Resolution
1 meter - < 30 meters
Parameters
bare soil fraction
non-photosynthetic vegetation fraction
photosynthetic vegetation fraction
Platforms
Sentinel-2A
Sentinel-2B
Sentinel-2C
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 Fractional Cover - Sentinel-2, JRSRP Algorithm Version 3.0, Eastern and Central Australia Coverage
Export to DCATExport to BibTeXExport to EndNote/Zotero
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/
Copyright 2010-2025. JRSRP. Rights owned by the Joint Remote Sensing Research Project (JRSRP). 
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}. 
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.