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The Pre-clearing Natural Vegetation of the Southern Mallee Planning Region VIS_ID 1044

Created 06/05/2025

Updated 06/05/2025

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This paper outlines the background to the preparation of a digital pre-clearing vegetation map of the shires of Wentworth and Balranald (Southern Mallee). The data set was prepared in order to provide the Southern Mallee Regional Planning Committee with a platform from which to discuss the scope for any further clearing in tbe region. The Basin Care M305 Structural Vegetation digital coverage was used as the base layer, significantly modifying codes (1, 2, 3, 4, 7) that mapped areas where the native vegetation had been replaced. Satellite imagery, aerial photographs and historical reports where used to identify where and what the vegetation types were that had been cleared. A total of 33 1:100,000 M305 map sheets tiles were modified to complete the pre-clearing map of the region. A summary of the status of each vegetation community in the region is outlined showing the extent of clearing and reservation. VIS_ID 1044

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Field Value
Title The Pre-clearing Natural Vegetation of the Southern Mallee Planning Region VIS_ID 1044
Language English
Licence Creative Commons Attribution 3.0 Australia
Landing Page https://devweb.dga.links.com.au/data/dataset/e929a523-8032-49f0-94ef-b13fb3c52370
Remote Last Updated 08/02/2024
Contact Point
NSW Department of Climate Change, Energy, the Environment and Water
test@email.loc
Reference Period 06/01/2009
Geospatial Coverage {"type": "Polygon", "coordinates": [[[144.688959, -34.971983], [144.688959, -32.748525], [141.001305, -32.748525], [141.001305, -34.971983], [144.688959, -34.971983]]]}
Data Portal data.gov.au

Data Source

This dataset was originally found on DataNSW "The Pre-clearing Natural Vegetation of the Southern Mallee Planning Region VIS_ID 1044". Please visit the source to access the original metadata of the dataset:
https://data.nsw.gov.au/data/dataset/the-pre-clearing-natural-vegetation-of-the-southern-mallee-planning-region-vis_id-10445a78a

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No duplicate datasets found.