JSON RDF ISO19115-3 XML

Classification of aquatic ecosystems in the Murray-Darling Basin: 2017 update

Created 03/09/2018

Updated 03/09/2018

JSON RDF ISO19115-3 XML

This is the 2017 update to the classification of aquatic ecosystems in the Murray-Darling. It is a compilation of river, lake, wetland, riparian and floodplain mapping for the Murray-Darling Basin using the best available mapping from state jurisdictions (South Australia, Victoria, Queensland and New South Wales), Australian Government agencies and other organisations. Data sources range in scale from 1:,000 to 1:250,000. The interim Australian National Aquatic Ecosystem (ANAE) classification framework has been applied to all wetland polygons varying by system type (lacustrine, palustrine, riverine, estuarine and springs. Attribute values and final wetland types are included in the attribute data table.CC - Attribution (CC BY) This data has been licensed under the Creative Commons Attribution 3.0 Australia Licence. More information can be found at http://www.ausgoal.gov.au/creative-commons. © Commonwealth of Australia (Australian Government Department of the Environment and Energy) 2017

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Field Value
Title Classification of aquatic ecosystems in the Murray-Darling Basin: 2017 update
Language English
Licence Creative Commons Attribution 3.0 Australia
Landing Page https://devweb.dga.links.com.au/data/dataset/476787f4-7052-4c4d-9494-ef6a41f28922
Contact Point
Department of the Environment and Energy
water.metadata@environment.gov.au
Geospatial Coverage {"type": "Polygon", "coordinates": [[[112.0, -44.0], [154.0, -44.0], [154.0, -9.0], [112.0, -9.0], [112.0, -44.0]]]}
Data Portal data.gov.au

Data Source

This dataset was originally found on data.gov.au "Classification of aquatic ecosystems in the Murray-Darling Basin: 2017 update". Please visit the source to access the original metadata of the dataset:
https://devweb.dga.links.com.au/data/dataset/classification-of-aquatic-ecosystems-in-the-murray-darling-basin-2017-update1

Original dataset
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No duplicate datasets found.