JSON RDF ISO19115-3 XML

Bioregional_Assessment_Programme_Pedirka Basin Land Use - PED

Created 18/05/2016

Updated 20/11/2019

JSON RDF ISO19115-3 XML

Abstract

This dataset and its metadata statement were supplied to the Bioregional Assessment Programme by a third party and are presented here as originally supplied.

Interpreted land use within the Pedirka Basin based on the land ownership category.

Purpose

To provide information pertaining to dominant land uses across the Pedirka subregion.

Dataset History

Derived through the Northern Territory Government, Department of Lands, Planning and the Environment www.ntlis.nt.gov.au., as follows; The landuse layer was established as a subset of the Digital Cadastral Database of the Northern Territory. The cadastral layer has been classified according to Owner Category, which is used as a proxy for landuse.

Dataset Citation

SA Department of Environment, Water and Natural Resources (2015) Bioregional_Assessment_Programme_Pedirka Basin Land Use - PED. Bioregional Assessment Source Dataset. Viewed 21 December 2017, http://data.bioregionalassessments.gov.au/dataset/378eb9db-eab8-4b10-83c3-51466e7b7f01.

Files and APIs

Tags

Additional Info

Field Value
Title Bioregional_Assessment_Programme_Pedirka Basin Land Use - PED
Language eng
Licence Creative Commons Attribution 4.0 International, http://creativecommons.org/licenses/by/4.0/, (c) Crown in right of the state of South Australia, DEWNR
Landing Page https://devweb.dga.links.com.au/data/dataset/bfe6661c-cd00-44ad-8dd1-758376f8362a
Contact Point
Bioregional Assessment Program
bioregionalassessments@environment.gov.au
Reference Period -
Geospatial Coverage POLYGON ((0 0, 0 0, 0 0, 0 0))
Data Portal data.gov.au

Data Source

This dataset was originally found on data.gov.au "Bioregional_Assessment_Programme_Pedirka Basin Land Use - PED". Please visit the source to access the original metadata of the dataset:
https://devweb.dga.links.com.au/data/dataset/378eb9db-eab8-4b10-83c3-51466e7b7f01

Original dataset
Dataset copies

No duplicate datasets found.