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Data

Statewide Landcover and Trees Study (SLATS) Woody Vegetation Extent, Queensland 

Ver: 1
Status of Data: onGoing
Update Frequency: annually
Security Classification: unclassified
Record Last Modified: 2026-04-14
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Dataset Created: 2023-09-11
Dataset Published: 2023-09-11
Data can be accessed from the following links:
HTTPPoint-of-truth metadata URLHTTPWoody Vegetation Extent datasetsHTTPro-crate-metadata.json
How to cite this collection:
Department of the Environment, T. (2023). Statewide Landcover and Trees Study (SLATS) Woody Vegetation Extent, Queensland. Version 1. Terrestrial Ecosystem Research Network. Dataset. https://portal.tern.org.au/metadata/87473039-0fd1-4e68-b8cd-233736213621 
The Statewide Landcover and Trees Study (SLATS) Woody Vegetation Extent dataset provides comprehensive spatial information on woody vegetation presence/absence across Queensland. This dataset includes the 2018 woody extent baseline, established using Earth-i mosaics, and subsequent annual updates derived using the SLATS methodology with Sentinel-2 satellite imagery. Together, these datasets serve as a reference for monitoring changes in woody vegetation extent, clearing, and regrowth over time.

The 2018 baseline incorporates estimates of woody vegetation density and age, providing a comprehensive snapshot of Queensland’s woody vegetation as of August 2018. Ongoing annual updates use the SLATS methodology to track changes in woody vegetation extent relative to the baseline. The data is mapped at a nominal scale of 1:10,000, with woody vegetation classified as stands greater than 0.5 hectares in size, with a canopy density exceeding 10% crown cover, and adhering to a minimum width criterion of 20 metres for linear features. 
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. 
Purpose
This dataset is designed to support a range of applications, including land management, environmental monitoring, and policy development. It is particularly relevant for the SLATS program, Spatial BioCondition programs, and other vegetation monitoring initiatives. The dataset has been clipped to the Queensland coastline and state border boundary layer for consistency with other state-level datasets. 
Lineage
This dataset is derived from Earth-i Triplesat state-wide mosaics and Sentinel-2 satellite imagery and processed using the post-2018 SLATS methodology. Annual changes in woody vegetation extent are detected and summarised spatially and statistically. A detailed explanation of the change detection approach is available in the SLATS methodology documentation. 
Method DocumentationStatewide Landcover and Trees Study – Methodology overview v1.3
Procedure StepsData not provided.
Spatial Description
Queensland 
Temporal Coverage
From 2018-08-01 to on going 
Spatial Resolution

Data not provided.

Vertical Extent

Data not provided.

ANZSRC - FOR
Environmental management
GCMD Sciences
BIOSPHERE - VEGETATION COVER
Horizontal Resolution
1 meter - < 30 meters
Parameters
woody vegetation extent
Platforms
DMC3/TripleSat Constellation
Sentinel-2A
Sentinel-2B
Sentinel-2C
Temporal Resolution
Annual
Topic
environment
imageryBaseMapsEarthCover
Author
Department of the Environment, Tourism, Science and Innovation, Queensland Government
Contact Point
Data Enquiries, Earth Observation and Social Sciences (EOSS)
Data Enquiries, SLATS
Publisher
Terrestrial Ecosystem Research Network
Queensland Government – Statewide Landcover and Trees Study (SLATS)
2018 SLATS woody vegetation extent baseline report
Supplemental Information
Data not provided. 
Resource Specific Usage
The dataset classifies vegetation into two categories: 1 - Woody: Includes all woody vegetation, regardless of whether it is native or non-native. This includes woody weeds and horticultural crops. 2 - Non-Woody: Includes all non-woody vegetation and non-vegetated areas. 
Environment Description
Data not provided. 
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Creative Commons Attribution 4.0 International Licence
https://creativecommons.org/licenses/by/4.0/
Please cite this dataset as {Author} ({PublicationYear}). {Title}. {Version, as appropriate}. Terrestrial Ecosystem Research Network. Dataset. {Identifier}. 
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