Deep Learning Forest Vegetation (LGATE-478)

Published by Landgate

SHPFGDBGEOPACKAGEGEOJSON.PDFWFSAPI ARCGIS SERVER MAP SERVICEWMSAPI ARCGIS SERVER FEATURE SERVICE

Description

This is a deep learning derived dataset indicating forested regions in the South-West of WA. Model produced from Sentinel 2 satellite imagery incorporating 11 multispectral bands resampled at a 10m resolution. Classes indicate native vegetation forests and exotic vegetation plantations. Training data for this model has been compiled by utilising existing datasets Native Vegetation Extent (DPIRD-005) and Forest Products Commission Plantations (FPC-001). This data was collected within the Swan Coastal Plain. Results may degrade significantly in IBRA regions further East. Please read supporting documentation for more information on this.

Resources

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Shapefile

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File Geodatabase

FGDB
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Geopackage

GEOPACKAGE
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GeoJSON

GEOJSON
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Deep Learning Forest Vegetation (LGATE-478)

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Web Feature Service

WFS
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ArcGIS Server Map Service

API ARCGIS SERVER MAP SERVICE
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Web Mapping Service

WMS
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ArcGIS Server Feature Service (Esri Token Authentication)

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ArcGIS Server Map Service (Esri Token Authentication)

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Metadata

Licence
Custom (Other)
Last Updated
10 Mar 2026
Created
7 Aug 2023
Update Frequency
Unknown
Source Portal
Wa

Dublin Core Metadata

Publisher
Landgate
Creator
Landgate
Type
Dataset
Language
en
Rights
Custom (Other)
Spatial Coverage
Western Australia, Australia
Temporal Coverage
7 Aug 2023 – 10 Mar 2026
Related Resources
https://data-downloads.slip.wa.gov.au/LGATE-478/Shapefile, https://data-downloads.slip.wa.gov.au/LGATE-478/Geopackage, https://data-downloads.slip.wa.gov.au/LGATE-478/GeoJSON, https://catalogue.data.wa.gov.au/dataset/11926d69-2518-44da-8264-e898dd5ddb5a/resource/24f43423-ddad-4193-a590-5d6dd252da52/download/deep-learning-forest-vegetation-data-dictionary-lgate-478.pdf, https://services.slip.wa.gov.au/arcgis/services/Landgate_Restricted_Services/AI_CaptureWA_Gov_FS/MapServer/WFSServer
Subjects
2023, AI, Deep Learning, Exotic Vegetation, Forest, Land Cover, ML, Native Forest, Native Vegetation

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