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Catchment Scale Land Use Mapping for Western Australia 2008-2017

Data and metadata available soon. This dataset is the most current compilation of catchment scale land use data for Western Australia, as at September 2017. It is a seamless vector dataset that combines land use data for all state and territory jurisdictions. It has been compiled from vector land use datasets collected as pertaining to land use information in Western Australia. 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 2016) and scale of mapping (1:5 000 to 1:250 000) vary, reflecting the source data, capture date and scale. This information is provided in a supporting polygon dataset.

This dataset is part of a national catchment scale land use mapping project funded by the Department of Agriculture and Water Resources and coordinated by ABARES as part of the Australian Collaborative Land Use and Management Program (ACLUMP). ACLUMP is a consortium of Australian Government, and state and territory government partners that promotes the development of nationally consistent land use, land cover and land management practice information for Australia. Datasets were provided by: the Department of Primary Industries and Regional Development (Western Australia), Geoscience Australia, the Australian Bureau of Statistics, Landgate, the National Planation Inventory, the Department of Environment and Energy, the Department of Parks and Wildlife (Western Australia), the Department of Defence and the Public Sector Mapping Agency.

The data shows a single dominant land use for a given area, based on the primary management objective of the land manager. As a seamless spatial dataset for Western Australia, it can be used to identify, map and analyse high level land use categories (such as irrigated horticulture and dryland cropping) and more specific land use categories such as mangoes, aquaculture, and tree fruits. These categories can be extracted or combined with other spatial datasets to provide new insights and analysis concerning land use in Western Australia.

Land use is classified according to the Australian Land Use and Management (ALUM) Classification version 8, a three-tiered hierarchical structure. There are five primary classes, identified in order of increasing levels of intervention or potential impact on the natural landscape. Water is included separately as a sixth primary class. Primary and secondary levels relate to the principal land use. Tertiary classes may include additional information on commodity groups, specific commodities, land management practices or vegetation information. The primary, secondary and tertiary codes work together to provide increasing levels of detail about the land use. Land may be subject to a number of concurrent land uses. For example, while the main management objective of a multiple-use production forest may be timber production, it may also provide conservation, recreation, grazing and water catchment land uses. In these cases, production forestry is commonly identified in the ALUM code as the prime land use.

The operational scales of catchment scale mapping vary according to the intensity of land use activities and landscape context. Scales range from 1:5 000 and 1:25 000 for irrigated and peri-urban areas, to 1:100 000 for broadacre cropping regions and 1:250 000 for the semi-arid and arid pastoral zone. The scale of mapping generally reflects the intensity of land use. The finest scale mapping occurs in intensive agricultural areas; coarser scale mapping generally occurs in the semi-arid and pastoral zones.

This update refreshes the entire state of Western Australia to ALUM v8.

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DOI
Citation Catchment Scale Land Use Mapping for Western Australia 2008-2017
Author Department of Agriculture and Water Resources: Australian Bureau of Agricultural and Resource Economics and Sciences
Maintainer DPIRD Geographic Information Services
Theme Cultural Affairs
Geospatial Theme Property and Planning
Language
Published on 2017-12-31
Data last updated on 2017-12-31
Update Frequency one-off snapshot
Temporal coverage from 2008-01-01
Temporal coverage to 2017-06-30
Geospatial Coverage

Dataset extent

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