Dataset: Catchment scale land use of Australia – Update December 2020


The Catchment Scale Land Use of Australia – Update 2020 dataset is the national compilation of catchment scale land use data available for Australia (CLUM), as at December 2020. It replaces the Catchment Scale Land Use of Australia – Update December 2018. It is a seamless raster dataset that combines land use data for all state and territory jurisdictions, compiled at a resolution of 50 metres by 50 metres. The CLUM data shows a single dominant land use for a given area, based on the primary management objective of the land manager (as identified by state and territory agencies). Land use is classified according to the Australian Land Use and Management Classification version 8. It has been compiled from vector land use datasets collected as part of state and territory mapping programs through the Australian Collaborative Land Use and Management Program. Catchment scale land use data was produced by combining land tenure and other types of land use information, fine-scale satellite data and information collected in the field. The date of mapping (2008 to 2019) and scale of mapping (1:5,000 to 1:250,000) vary, reflecting the source data, capture date and scale. Date and scale of mapping are provided in a supporting dataset.

#What’s new?#
The following areas have been updated since the December 2018 version: Burnett-Mary and Fitzroy natural resource management (NRM) regions in Queensland (2017 from 2009); Sydney basin in New South Wales (2017 from 2003); the state of Tasmania (2019 from 2015).
The following areas include some reclassification; the Darwin-Litchfield and Katherine areas in Northern Territory, rural residential areas in New South Wales.
Users should update any references or links to previous CLUM datasets in their databases.

This publication (and any material sourced from it) should be attributed as:
ABARES 2021, Catchment Scale Land Use of Australia – Update December 2020, Australian Bureau of Agricultural and Resource Economics and Sciences, Canberra, February CC BY 4.0. DOI: 10.25814/aqjw-rq15

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