NSW State Vegetation Type Map (Pre-Clearing)

This Pre-Clearing map represents the pre-clearing extent of the State Vegetation Type Map (SVTM).  Both SVTM and SVTM (Pre-Clearing) map each Plant Community Type, Vegetation Class and Vegetation Formation at a regional scale across all tenures in NSW. Pre-clearing PCT mapping is available for both eastern NSW and Far Western NSW. Coverage of Central NSW is a work in progress. 

Pre-clearing extent of PCTs was developed using a combination of aerial photographic interpretation, environmental layers and historical documents. This map is updated periodically as part of the <a href="https://www.environment.nsw.gov.au/topics/animals-and-plants/biodiversity/nsw-bionet/integrated-bionet-vegetation-data-for-nsw">Integrated BioNet Vegetation Data</a> program to improve quality and alignment to the NSW vegetation classification hierarchy. 

Further information and technical documents about the SVTM is available from the <a href="https://www.environment.nsw.gov.au/topics/animals-and-plants/biodiversity/nsw-bionet/state-vegetation-type-map">State Vegetation Type Mapping Program Page</a>

<strong>Current Release C2.0.M2.2 (December 2025)</strong>

This release includes revisions, using the most recent NSW PCT Classification Master list (represented by “C2.0” in the version release number). PCT spatial distributions were manually edited based on user and community feedback since the previous C2.0.M2.1 release. 

Detailed technical information is available <a href="https://www.environment.nsw.gov.au/publications/nsw-state-vegetation-type-map-technical-notes-2025">here</a>.

<strong>Data Access</strong>

Map data may be downloaded, viewed within the SEED Map Viewer, or accessed via the underlying ArcGIS REST Services or WMS for integration in GIS or business applications. 

The Trees Near Me NSW app provides quick access to view the map using a mobile device or desktop. Download the app from Google Play or the App Store, or access the web site at <a href="https://www.treesnearme.app/explore">https://treesnearme.app</a>.

<strong>Map Data Type</strong>

The map is supplied as ESRI Feature Class (Quickview) and 5m GeoTiff Raster, and can be viewed and analysed in most commercial and open-source spatial software packages. If you prefer to use the download package, we supply an ArcGIS v10.8 mxd and/or a layer file for suggested symbology. The raster attributes contain PCT, Vegetation Class and Vegetation Formation.

<strong>Feedback and Support</strong>

We welcome your feedback to assist us in continuously improving our products. To help us track and process your feedback, please use the SEED Data Feedback tool available via the SEED map viewer or the Feedback function in Trees Near Me NSW. 

For further support, contact the BioNet Team at <em><a href="mailto:bionet@environment.nsw.gov.au">bionet@environment.nsw.gov.au</a></em>.

<strong>Useful Related Data</strong>

<a href="https://datasets.seed.nsw.gov.au/dataset/nsw-state-vegetation-type-map">NSW State Vegetation Type Map</a>: regional scale map of extant NSW Plant Community Types, Vegetation classes and Vegetation Formations.

<a href="https://datasets.seed.nsw.gov.au/dataset/nsw-bionet-flora-survey-data-collection-pctreferencesites">NSW BioNet Flora Survey Plots – PCT Reference Sites</a>: full floristic plots used in the development of the quantitative Plant Community Type (PCT) classification. Currently available for eastern NSW PCTs version C2.0.

<a href="https://www.environment.nsw.gov.au/research-and-publications/publications-search/nsw-state-vegetation-type-map-technical-notes">NSW State Vegetation Type Map - technical notes</a>

<a href="https://environment.nsw.gov.au/research-and-publications/publications-search/eastern-nsw-plant-community-type-percentage-cleared-calculation-technical-notes">Eastern NSW - percentage cleared technical notes</a>.

Tags: Map, NSW, Native Vegetation, PCT, SVTM, pre-clearing, vegetation class, vegetation formation
Organization: NSW Department of Climate Change, Energy, the Environment and Water