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

Ver: 1.0
Status of Data: completed
Update Frequency: notPlanned
Security Classification: unclassified
Record Last Modified: 2025-12-02
Viewed 26 times
Accessed 17 times
Dataset Created: 2025-06-01
Dataset Published: 2025-07-24
Data can be accessed from the following links:
HTTPPoint-of-truth metadata URLHTTPCloud Optimised GeoTIFFs – Seasonal Fractional Cover Statistics - QueenslandHTTPro-crate-metadata.json
How to cite this collection:
Joint Remote Sensing Research Program & Department of the Environment, T. (2025). Seasonal Fractional Cover Summary Statistics - Landsat, JRSRP Algorithm Version 3.0, Queensland Coverage. Version 1.0. Terrestrial Ecosystem Research Network. Dataset. https://portal.tern.org.au/metadata/ed66ec98-7a5b-4d4a-8435-f73eb397ae14 
The Seasonal Fractional Cover Summary Statistics datasets provide long-term statistical summaries derived from the 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 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 fractional cover fractions over long term temporal periods (e.g. 1990–2020). These products are based on the JRSRP Fractional Cover 3.0 algorithm. 
Lineage
Landsat surface reflectance data > multiple single-date fractional cover datasets > seasonal composite of fractional cover > seasonal fractional cover summary statistics 
Method DocumentationFlood, N., Danaher, T., Gill, T., & Gillingham, S. (2013). An Operational Scheme for Deriving Standardised Surface Reflectance from Landsat TM/ETM+ and SPOT HRG Imagery for Eastern Australia. Remote Sensing, 5(1), 83–109.Flood, N. (2013). Seasonal Composite Landsat TM/ETM+ Images Using the Medoid (a Multi-Dimensional Median). Remote Sensing, 5(12), 6481–6500. https://doi.org/10.3390/rs5126481Muir, J., Schmidt, M., Tindall, D., Trevithick, R., Scarth, P., & Stewart, J. B. (2011). Field measurement of fractional ground cover: A technical handbook supporting ground cover monitoring for Australia.
Procedure Steps

1. 

The long-term statistical summary products are derived from the seasonal fractional cover product, also produced by the QLD DETSI remote sensing sciences team. The statistical products are derived from the full time series of imagery available for each season, defined by standard calendar seasons. For each pixel, the following statistics are calculated: 5th percentile, mean, median, 95th percentile, standard deviation and count. 

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 for that season only (percentage) band 2 - mean value for pixel over full time series for that season only (percentage) band 3 – median value for pixel over full time series for that season only (percentage) band 4 – 95th percentile maximum - robust maximum value for that pixel over the length of the full time series for that season only (percentage) band 5 – Standard deviation - the temporal standard deviation of the full time-series for that season only band 6 – Count - the number of observations statistics for that pixel are based on for that season only. 

Queensland
Temporal Coverage
From 1990-01-01 to 2020-12-31 
Spatial Resolution

Distance of 30 Meters

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
GCMD Sciences
BIOSPHERE - VEGETATION COVER
LAND SURFACE - LAND USE/LAND COVER
Horizontal Resolution
30 meters - < 100 meters
Parameters
bare soil fraction
non-photosynthetic vegetation fraction
photosynthetic vegetation fraction
Platforms
LANDSAT-7
LANDSAT-8
LANDSAT-9
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 - Landsat, JRSRP Algorithm, Australia Coverage
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