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Data

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

Ver: 4.0
Status of Data: completed
Update Frequency: notPlanned
Security Classification: unclassified
Dataset Published: 2022-12-07
Dataset Last Modified: 2026-08-18
Metadata viewed 539 times
Dataset accessed 165 times
Metadata Created: 2015-09-18
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). Seasonal Ground Cover Summary Statistics - Landsat, JRSRP Algorithm Version 3.0, Queensland Coverage. Version 4.0. Terrestrial Ecosystem Research Network. Dataset. https://portal.tern.org.au/metadata/b9c2e3d3-0dc4-4599-a1dd-6affb0ad3f74 
Data can be accessed from the following links:
HTTPCloud Optimised GeoTIFFs - Seasonal Ground Cover Statistics - Queensland
WMSSeasonal Ground Cover Statistics
HTTPLandscape Data Visualiser - Seasonal Ground Cover Statistics - Landsat, JRSRP Algorithm Version 3.0, Queensland Coverage
HTTPPoint-of-truth metadata URL
HTTPro-crate-metadata.json
The Seasonal Ground Cover Summary Statistics datasets provide long-term statistical summaries derived from the seasonal ground cover v3 data, calculated separately for each fraction. Two distinct product types are available, differentiated by their seasonal aggregation and statistical content.
  1. Seasonal Statistics per Fraction (Product Code: dpi)
    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: include:
    band 1 – 5th percentile minimum;
    band 2 – mean value for pixel over full time series;
    band 3 – median value for pixel over full time series;
    band 4 – 95th percentile maximum;
    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.
  2. All-Seasons Percentile Summary (Product Code: dph)
    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 (currently 1990-2020).
Version 4 update: Dataset filenames have been revised to now include fraction and season tags, replacing multiple stage codes. Related products are grouped under a single code for improved clarity and usability. Additionally, band values are now expressed as percentages (0–100) to match the parent seasonal ground cover dataset, rather than using the previous percent + 100 scaling.
 
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 (https://www.jrsrp.org.au/) using data sourced from US Geological Survey.
 
Purpose
These products display the variation of the seasonal ground cover fractions over long term temporal periods (e.g. 1990-2020).
These products are based upon 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 1990-01-01 to 2020-12-31 
Spatial Resolution

Distance of 30 Metres

Vertical Extent

Data not provided.

Data Quality Assessment Scope
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. 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
The USGS aims to provide image-to-image registration with an accuracy of 12m. Refer to the L8 Data Users Handbook for more detail. 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
SOILS
VEGETATION - VEGETATION COVER
Horizontal Resolution
30 meters - < 100 meters
Instruments
ETM+
OLI
TM
Parameters
bare soil fraction
non-photosynthetic vegetation fraction
photosynthetic vegetation fraction
Platforms
LANDSAT-7
LANDSAT-8
LANDSAT-9
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 - Landsat, JRSRP Algorithm Version 3.0, Australia Coverage
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/ 
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 2010-2025. 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
 
It is not recommended that these data sets be used at scales more detailed than 1:100,000.