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Seasonal Persistent Green - Landsat, JRSRP Algorithm, Australia Coverage 

Ver: 1.0
Status of Data: superseded
Update Frequency: notPlanned
Security Classification: unclassified
Dataset Published: 2021-04-15
Dataset Last Modified: 2026-08-18
Metadata viewed 7450 times
Dataset accessed 928 times
Metadata Created: 2013-11-25
Metadata Last Modified: 2026-08-19
How to cite this collection:
Department of the Environment, Tourism, Science and Innovation, Queensland Government (2021). Seasonal Persistent Green - Landsat, JRSRP Algorithm, Australia Coverage. Version 1.0. Terrestrial Ecosystem Research Network. Dataset. https://portal.tern.org.au/metadata/e60f5125-ed2f-47cb-99a7-c9a201e44d2f 
Data can be accessed from the following links:
HTTPseasonal_persistent_green_landsat_filenaming_conven_h5HG2vG.txt
HTTPVegmachine Timeseries Viewer
HTTPSeasonal Persistent Green by HTTP
HTTPPoint-of-truth metadata URL
HTTPro-crate-metadata.json
This product has been superseded and will not be processed from early 2023. Please find the updated version 3 of this product at https://portal.tern.org.au/metadata/TERN/dd359b61-3ce2-4cd5-bc63-d54d2d0e2509. An estimate of persistent green cover per season. 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 (dim) time series. 
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 (ie 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 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. Note: A new fractional cover algorithm will be implemented during 2021, based on additional field validation and a new machine learning approach. This will lead to a new version of the persistent green product. 
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

Data not provided.

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 1500 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 L8 Data Users Handbook for more detail. 2) The fractional cover model achieved an overall model Root Mean Squared Error (RMSE) of 11.6% against field reference sites. 
ANZSRC - FOR
Climate change impacts and adaptation
Environmental management
Data Stream
Satellite Remote Sensing
GCMD Sciences
LAND USE/LAND COVER
VEGETATION - VEGETATION COVER
Horizontal Resolution
30 meters - < 100 meters
Instruments
ETM+
OLI
TM
Parameters
persistent green vegetation fraction
vegetation area fraction
Platforms
LANDSAT-5
LANDSAT-7
LANDSAT-8
Project
TERN Landscapes
Temporal Resolution
Weekly - < Monthly
Topic
environment
imageryBaseMapsEarthCover
Author
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
Filenames for the seasonal persistent green product conforms to the AusCover standard naming convention. The standard form of this convention is: ____ For this dataset are (comma-separated): Data Naming Element, Possible Code(s), Descriptor Standard Elements satellite category, lz, Landsat - all possible instrument, tm, thematic mapper product, re, reflective where, qld,nsw,vic,tas,sa,nt,wa, state when, myyyymmyyyymm, season start date (1st day of month) and season end date (last day of month)  processing stage, dja, seasonal persistent green cover, data projection, a2, Australian Albers Equal Area 
Resource Specific Usage
Data not provided. 
Environment Description
Data not provided. 
Terrestrial Ecosystem Research Network
80 Meiers Road, Indooroopilly, Queensland, 4068, Australia.
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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/ 
It is not recommended that these data sets be used at scales more detailed than 1:100,000. 
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 

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Version:6.5.1