The Tasmanian land use 2015 spatial data set is produced at catchment scale which is undertaken through the Australian Collaborative Land Use and Management Program (ACLUMP) using standards set out in the 'Guidelines for land use mapping in Australia: principals, procedures and definitions, 4th edition 2011' and âAddendum to the Guidelines for land use mapping in Australia: principles, procedures and definition, 4th Editionâ. Land use is classified by its prime use using a hierarchical structure, Australian Land Use and Management Classification (ALUMC) v8, which allows attribution as broad classes to individual commodities. This produces nationally consistent land use mapping to plan for and achieve productive agriculture and prosperous regional communities. Land use information shows how we use the landscape, whether that is for food production, forestry, nature conservation, water storage or urban development. The data set has been derived through spatial analysis of ancillary data sets, interpretation from imagery (Google Earth, State Orthophoto and Landsat composite) and expert knowledge through stakeholder engagements. The development of a modelling process to create the data set allows a repeatable process for future iterations of land use mapping. The land use mapping coverage is available for mixed dates at a scale that varies according to the intensity of land use activities and landscape context. This iteration of land use mapping is for improved biosecurity outcomes to improve biosecurity risk management and emergency disease preparedness through updated land use mapping of horticulture and intensive animal production. Land use mapping is completed to the secondary and tertiary level with commodity information for priority land use classes focusing on dairy grazing, sheds and yards, vineyards, stock aggregation points and nurseries. Australian Land Use and Management Classification (ALUMC) v8 comprises of 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 primary classes of land use in the ALUM Classification are: 1. Conservation and natural environments - land used primarily for conservation purposes, based on maintaining the essentially natural ecosystems present 2. Production from relatively natural environments - land used mainly for primary production with limited change to the native vegetation 3. Production from dryland agriculture and plantations - land used mainly for primary production based on dryland farming systems 4. Production from irrigated agriculture and plantations - land used mostly for primary production based on irrigated farming 5. Intensive uses - land subject to extensive modification, generally in association with closer residential settlement, commercial or industrial uses 6. Water - water features (water is regarded as an essential aspect of the classification, even though it is primarily a land cover type, not a land use)

The Tasmanian Land Use 2019 spatial data set is produced at catchment scale which is undertaken through the Australian Collaborative Land Use and Management Program (ACLUMP) using standards set out in the 'Guidelines for land use mapping in Australia: principals, procedures and definitions, 4th edition 2011' and 'Addendum to the Guidelines for land use mapping in Australia: principles, procedures and definition, 4th Edition'. Land use is classified by its prime use using a hierarchical structure, Australian Land Use and Management (ALUM) Classification version 8, allowing land uses to be attributed as broad classes to individual commodities where possible. This produces nationally consistent land use mapping to inform, support and enable innovation and action in response to economic, social and environmental challenges. Land use information shows how we use the landscape, whether that is for food production, forestry, nature conservation, water storage or urban development. The data set has been derived through spatial analysis of ancillary data sets, interpretation from imagery (Google Earth, State Orthophoto and Landsat composite) and expert knowledge and data from stakeholders. A modelling process used to partially create Tasmanian Land Use 2015 was updated and used to partially create the 2019 data set allowing a repeatable process for future iterations of land use mapping. The land use mapping coverage is available for mixed dates at a scale that varies according to the intensity of land use activities and landscape context. This iteration of land use mapping has been predominately updated in areas of nature conservation, managed resource protection, perennial horticulture, irrigation, intensive animal production and plantation forests. Land use mapping is completed to the ALUM secondary and tertiary level with commodity information where available. The Australian Land Use and Management (ALUM) Classification has a three-tiered hierarchical structure. Primary, secondary and tertiary classes are broadly structured by the potential degree of modification and the impact on a putative "natural state" (essentially, a native land cover). Primary and secondary classes relate to land use 'the main use of the land', defined by the management objectives of the land manager. Tertiary classes can include commodity groups, specific commodities, land management practices or vegetation information. Tertiary-level data are particularly valuable in many natural resource planning and management applications but are often expensive to collect. The ALUM Classification includes six primary classes. The five primary classes of land use are distinguished in order of increasing levels of intervention or potential impact on the natural landscape. Water is also included as a sixth primary class The primary classes of land use in the ALUM Classification are: 1. Conservation and natural environments - land used primarily for conservation purposes, based on maintaining the essentially natural ecosystems present 2. Production from relatively natural environments - land used mainly for primary production with limited change to the native vegetation 3. Production from dryland agriculture and plantations - land used mainly for primary production based on dryland farming systems 4. Production from irrigated agriculture and plantations - land used mostly for primary production based on irrigated farming 5. Intensive uses - land subject to extensive modification, generally in association with closer residential settlement, commercial or industrial uses 6. Water - water features (water is regarded as an essential aspect of the classification, even though it is primarily a land cover type, not a land use).

The Tasmanian Land Use 2021 spatial data set is produced at catchment scale and is undertaken through the Australian Collaborative Land Use and Management Program (ACLUMP) using standards set out in the "Guidelines for land use mapping in Australia: principles, procedures and definitions, 4th edition 2011" and "Addendum to the Guidelines for land use mapping in Australia: principles, procedures and definition, 4th Edition". Land use is classified by its prime use using a hierarchical structure, Australian Land Use and Management (ALUM) Classification version 8, allowing land uses to be attributed as broad classes to individual commodities where possible. This produces nationally consistent land use mapping to inform, support and enable innovation and action in response to economic, social and environmental challenges. Land use information shows how we use the landscape, whether that is for food production, forestry, nature conservation, water storage or urban development. The 2021 data set has been derived through a modelling spatial analysis process of ancillary data sets, interpretation from imagery (Google Earth, State Orthophoto and Landsat composite) and expert knowledge and data from stakeholders. The modelling process, previously used for the Tasmanian Land Use 2019, was updated for the 2021 dataset and continues to allow a repeatable process for future iterations of land use mapping. The land use mapping coverage is available for mixed dates at a scale that varies according to the intensity of land use activities and landscape context. This iteration of land use mapping has been predominately updated in areas of nature conservation, managed resource protection, perennial horticulture, irrigation and plantation forests. Land use mapping is completed to the ALUM secondary and tertiary level with commodity information where available. The Australian Land Use and Management (ALUM) Classification has a three-tiered hierarchical structure. Primary, secondary and tertiary classes are broadly structured by the potential degree of modification and the impact on a putative "natural state" (essentially, a native land cover). Primary and secondary classes relate to land use - the main use of the land, defined by the management objectives of the land manager. Tertiary classes can include commodity groups, specific commodities, land management practices or vegetation information. Tertiary-level data are particularly valuable in many natural resource planning and management applications but are often expensive to collect. The ALUM Classification includes six primary classes. The five primary classes of land use are distinguished in order of increasing levels of intervention or potential impact on the natural landscape. Water is also included as a sixth primary class. The primary classes of land use in the ALUM Classification are: 1. Conservation and natural environments - land used primarily for conservation purposes, based on maintaining the essentially natural ecosystems present 2. Production from relatively natural environments - land used mainly for primary production with limited change to the native vegetation 3. Production from dryland agriculture and plantations - land used mainly for primary production based on dryland farming systems 4. Production from irrigated agriculture and plantations - land used mostly for primary production based on irrigated farming 5. Intensive uses - land subject to extensive modification, generally in association with closer residential settlement, commercial or industrial uses 6. Water - water features (water is regarded as an essential aspect of the classification, even though it is primarily a land cover type, not a land use)

The GIS section of the Tasmanian Department of Primary Industries, Water and Environment was contracted by the Bureau of Rural Science to create a land use dataset for Tasmania. Land use data has been identified as essential in managing the range of land degradation issues occurring in Australia. The project ran for 18 months from September 2001 to March 2003.

A NRM North, Cradle Coast NRM, NRM South and DPIPWE funded project to create a 1: 50 000 digital spatial layer for Tasmanian land use as at summer 2009/2010, attributed to ALUM v7 classifications. The dataset was created from fieldwork, consultation with local experts, vector data sets, databases and 2009/2010 RapidEye imagery which required successive stages of data collection, interpretation, verification and validation for a quality assured final product. Minimal mappable areas varied from 10 ha for mapping at 1:50 000 from RapidEye imagery and less for other datasets used with larger scales. Land use data is used to develop effective responses to national agricultural and natural resource management problems and regional assessments of agricultural productivity and opportunities.

Version 2 minor revision 27 June 2024. This is the latest compilation of land use mapping information for Australia’s regions as at December 2023. The land use data are supported by a supplementary commodities dataset, containing extra information on the location of select predominantly agricultural commodities. These datasets replace the previous 2020 December updates. Version 2 fixes issues caused during the conversion of the state vector datasets to rasters, where single pixel horizontal lines were generated in local areas. This does not affect the date or scale of mapping. These data were compiled by the Australian Bureau of Agricultural and Resource Economics and Sciences (ABARES) from vector land use datasets collected as part of state and territory mapping programs and other authoritative sources through the Australian Collaborative Land Use and Management Program (ACLUMP). These datasets are not recommended for change analysis or for national land use statistics—instead use the Land use of Australia 2010-11 to 2015-16. About the Catchment Scale Land Use of Australia – Update December 2023 spatial dataset: A seamless raster dataset that combines land use vector data for all state and territory jurisdictions, at a spatial resolution of 50 by 50 metres. Shows a single dominant land use for each location, based on the management objective of the land manager (as identified by state and territory agencies). Updates have been made to New South Wales, Northern Territory, Tasmania, Victoria, the capital city of Adelaide, parts of the Great Barrier Reef NRM regions, and national updates to select horticultural tree crops and protected cropping structures. There are also minor corrections to Western Australia, and more accurate representation of mining areas in South Australia. The date of mapping (2008 to 2023) and scale of mapping (1:5,000 to 1:250,000) vary and are provided as supporting datasets. Produced by combining land tenure and other types of land use information, fine-scale satellite data and information collected in the field. Refer to the metadata and ABARES website for additional information. About the Catchment Scale Land Use of Australia – Commodities – Update December 2023 spatial dataset: - Provides location, extent and year verified for 185 commodities, where mapped, as a vector dataset. - Commodity data are validated in the field and using other sources. - Generally, a single commodity is shown at a location reflecting the most recent date that location was verified. - The location of a commodity may change on a seasonal to annual basis, depending on factors such as climate, markets or farming systems. - Not nationally complete or comprehensive, and with various dates of capture (1967 to 2023) and input mapping products (2014 to 2023). - Refer to the metadata for additional information. Citation - Land use: ABARES 2024, Catchment Scale Land Use of Australia – Update December 2023 version 2, Australian Bureau of Agricultural and Resource Economics and Sciences, Canberra, June, CC BY 4.0, DOI: 10.25814/2w2p-ph98 - Commodities: ABARES 2024, Catchment Scale Land Use of Australia – Commodities – Update December 2023, Australian Bureau of Agricultural and Resource Economics and Sciences, Canberra, February CC BY 4.0. DOI: 10.25814/zfjz-jt75

The Land Tenure data set contains a representation of the commonly accepted land tenure classifications for Tasmania. Tenure Classifications include Crown Land, Private Land, Local Government and other Statutory Authority Land, Reserved Land, Conservation Covenants, Private Reserves, Permanent Timber Production Zone Land (formerly State Forest). Future Potential Production Forest (FPPF) land is also distinguished where it overlaps Crown and HEC land. This dataset depicts the full extent of classifications and as some or coastal reserve boundaries extend to Low Water Mark, and in some cases include areas of estuary or sea. These classifications generally conform to those represented on the TASMAP Land Tenure Map.