Seasonal Persistent Green - Landsat, JRSRP Algorithm Version 3.0, Australia Coverage

Ver: 3.0

Status of Data: onGoing

Update Frequency: quarterly

Security Classification: unclassified

Dataset Published: 2022-05-03

Dataset Last Modified: 2026-08-18

Metadata viewed 16831 times

Dataset accessed 1079 times

Metadata Created: 2022-03-28

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 Persistent Green - Landsat, JRSRP Algorithm Version 3.0, Australia Coverage. Version 3.0. Terrestrial Ecosystem Research Network. Dataset. https://portal.tern.org.au/metadata/dd359b61-3ce2-4cd5-bc63-d54d2d0e2509

Data can be accessed from the following links:

An estimate of persistent green cover per season across Australia from 1989 to the present season, minus 2 years. This is intended to estimate the portion of vegetation that does not completely senesce within a year, which primarily consists of woody vegetation (trees and shrubs), although there are exceptions where non-woody cover remains green all year round. It is derived by fitting a multi-iteration minimum weighted smoothing spline through the green fraction of the seasonal fractional cover (dp1) time series. A single band image is produced: persistent green vegetation cover (in percent). The no data value is 255.

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.

Purpose

This product captures variability in persistent green cover at seasonal (i.e. three-monthly) time scales, forming a consistent time series from 1989 to the present season (minus 2 years). It is useful for investigating inter-annual and longer term changes in persistent vegetation cover. The statistical process used to create this product means there is a 2-year lag in producing it.

For applications that focus on non-woody vegetation, the ground cover product, derived from fractional cover, may be more suitable.
For applications investigating rapid change during a season, monthly composite or single-date (available on request) fractional cover products may be more appropriate.

This product is based upon the JRSRP Fractional Cover 3.0 algorithm.

Lineage

Data not provided.

Method DocumentationData not provided.

Procedure StepsData not provided.

Spatial Description

Australia

Temporal Coverage

From 1989-12-01 to on going

Spatial Resolution

Distance of 30 Metres

Vertical Extent

Data not provided.

Data Quality Assessment Scope

1) 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.
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 USGS aims to provide image-to-image registration with an accuracy of 12m. Refer to the Landsat 8 Data Users Handbook for more detail.
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

Data Stream

GCMD Sciences

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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.
File naming convention:
Filenames for the seasonal persistent green product conform to the AusCover standard naming convention. The standard form of this convention is:
{satellite category code}{instrument code}{product code}_{where}_{when}_{processing stage code}_{additional dataset specific tags}
Details of the codes used for this dataset can be found in the attached txt file: File Naming Convention.
Raster data values represent percentages of persistent green cover, with a no data value of 255.

Resource Specific Usage

Data not provided.

Environment Description

Data not provided.

80 Meiers Road, Indooroopilly, Queensland, 4068, Australia.

Creative Commons Attribution 4.0 International Licence

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

It is not recommended that these data sets be used at scales more detailed than 1:100,000.

Seasonal Persistent Green - Landsat, JRSRP Algorithm Version 3.0, Australia Coverage

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