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Western Regional Assessment API Vegetation Data VIS ID 1028

Created 05/05/2025

Updated 05/05/2025

JSON RDF ISO19115-3 XML

Map from Beckers, D. & Binns, D. (May 2000). Vegetation Survey and Mapping (Stage 1). NSW Western Regional Assessments. RACAC. ; API map of floristics in areas previously unmapped or requiring updated mapping within the BBS Bioregion. GIS based vegetation map at 1:50,000 scale of State Forests, National Parks estate and crown land within or directly adjacent to the Brigalow Belt South Bioregion (south of Narrabri), suitable for use in conservation and resource assessment, planning and management.; Existing mapping data assessed for suitability in meeting project objectives, by examining the floristic attributes, age of mapping and mapping methodology. 1,296 existing plots were documented from field surveys conducted between 1986 and 1999, with 474 new plots subsequently sampled in six planning areas. While the total number of plots analysed for the Bioregion was 1,264, the species lists were generated from a total of 2,554 available plots. (VIS ID 1028)

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Additional Info

Field Value
Title Western Regional Assessment API Vegetation Data VIS ID 1028
Language English
Licence Creative Commons Attribution 3.0 Australia
Landing Page https://devweb.dga.links.com.au/data/dataset/1146a580-0209-4378-a1ac-6e0ab02acab6
Remote Last Updated 26/02/2024
Contact Point
NSW Department of Climate Change, Energy, the Environment and Water
test@email.loc
Reference Period 12/01/1995 - 04/01/1998
Geospatial Coverage {"type": "Polygon", "coordinates": [[[150.35162, -32.316893], [150.35162, -30.336095], [148.519213, -30.336095], [148.519213, -32.316893], [150.35162, -32.316893]]]}
Data Portal data.gov.au

Data Source

This dataset was originally found on DataNSW "Western Regional Assessment API Vegetation Data VIS ID 1028". Please visit the source to access the original metadata of the dataset:
https://data.nsw.gov.au/data/dataset/western-regional-assessment-api-vegetation-data-vis-id-10282f1dd

Original dataset
Dataset copies

No duplicate datasets found.