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 Tasmanian land use 2013 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'. Land use is classified by its prime use using a hierarchical structure, Australian Land Use and Management Classification (ALUMC) v7, 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 and State Orthophoto) and expert knowledge through stakeholder/user workshops. 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 vector dataset is a compilation of land use data for Western Australia, as at August 2018. It has been derived from various vector datasets with attribution relevant to land use in Western Australia. The date of mapping (2008 to 2018) and scale of mapping (1:5 000 to 1:250 000) vary, reflecting the source data, capture date and scale. 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 nature conservation, dryland cropping and irrigated horticulture) and more specific land use categories (such as aquaculture and tree fruits) including some commodities (such as bananas). 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 the 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. This update refreshes the entire state of Western Australia to ALUM v8.

Land system mapping for the pastoral area of Western Australia (Version February 2025). Most mapping is at scale 1:250, 000, except for Wiluna-Meekatharra (1:506, 880). A desktop mapping exercise was carried out in 2007 to update the original 1:1,000,000 CSIRO Kimberley Region surveys to make them suitable for use in 1:100, 000 scale pastoral lease mapping. The Southern Goldfields Rangeland Survey has been incorporated into this dataset in February 2025. The survey program is in progress and some areas are yet to be surveyed. Most surveys are accompanied by a Technical Bulletin report which provides more detailed information. See https://library.dpird.wa.gov.au/tech_bull/ for a list of available reports. For map production purposes, land systems are grouped into Land Types. A standard colour has been assigned to each land type for map production purposes. This data set includes pastoral potential classifications.

The Meander land capability map covers the area delineated by the Meander 1:100 000 topographic map sheet in the Northern region of Tasmania. Land Capability attributes recorded include Land Capability Class and Sub Class information as per the revised Tasmanian Land Capability Handbook by Grose (1999) A written explanatory report is associated with this map, and is referred to as Noble K. E. 1993, Land Capability Survey of Tasmania. Meander Report. It also incorporates a paper copy of the Pipers map.

The Nugent land capability map covers the area delineated by the Nugent 1:100 000 topographic map sheet in the Southern region of Tasmania. Land Capability attributes recorded include Land Capability Class and Sub Class information as per the revised Tasmanian Land Capability Handbook by Grose (1999) A written explanatory report is associated with this map, and is referred to as DeRose R.C. and Todd D.J. (2001), Land Capability Survey of Tasmania. Nugent Report. Department of Primary Industries, Water and Environment, Tasmania, Australia. It also incorporates a paper copy of the Nugent map.

The Tasmanian Reserve Estate dataset is a digital map of the Reserve System for Tasmania. It represents land reserved to be managed for biodiversity conservation under Tasmania's Regional Forest Agreement (RFA) and other instruments. The layer combines data from several sources: LIST Public Land Classification [ANZTA0005000047] Wellington Park LIST Private Reserves [ANZTA0005000004] Protection Zones from Sustainable Timber Tasmania's 1:25 000 Management Decision Classification (MDC) series Land purchased by Private Land Conservation Program (PLCP) for conservation of CAR values not yet proclaimed Indigenous Protected Areas Informal Reserves on public land identified during the Regional Forestry Agreement (RFA) Other private reserves that have been set aside under independently certified forest management systems Future Potential Production Forest Stewardship Agreements Roadside Conservation Sites More information available in Business Rules at https://nre.tas.gov.au/conservation/development-planning-conservation-assessment/planning-tools/tasmanian-reserve-estate-spatial-layer

A predictive model has been established and tested to account for variations in the landscape to reflect changes in agricultural land capability class (on a progressive rating of 1: good - 7: poor). This dataset (and map) provides a prediction of the most likely land capability class to be expected in a particular location based on several layers of readily available information. These layers included geology, rainfall, slope, elevation, forest cover and surface drainage status. These data layers were input into a Geographic Information System modelling framework. Using previous experience and limited visits in the field, the output has been produced as a digital dataset and 1: 100,000 map. It was found to provide a relatively good impression of the landscapes potential for agricultural persuits (ie cropping and grazing). It was found to represent changes in capability class very well where geology, climate or slope control capability. In those areas where subsurface drainage controlled land capability it was found to be less reliable. Overall however as these areas of the State were previously devoid of any broadscale land resource information for this purpose - this map provides a valuable fist step in discerning land capability.