Catchment Scale Land Use 2023, Secondary Classification

Abstract Catchment Scale Land Use of Australia (CLUM) depicted into 33 classes based on the secondary classes of the Australian Land Use and Management (ALUM) Classification version 8. Classes are aggregated to nature conservation, managed resource protection, other minimal use, grazing, forestry, plantations, cropping, horticulture, pastures, intensive agriculture, urban, rural residential, mining and water with irrigation status. The Catchment Scale Land Use of Australia – Update December 2023 version 2 dataset is the national compilation of catchment scale land use data available for Australia, as at December 2023. It replaces the Catchment Scale Land Use of Australia – Update December 2020. 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 and other authoritative sources, 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 including, fine-scale satellite data, ancillary datasets, and information collected in the field. The date of mapping (2008 to 2023) 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 supporting datasets. Currency Date modified: June 2024 Modification frequency: As required Data extent Spatial extent North: -8.03° South: -45.5° East: 161.5° West: 105.7° Source information Data, Metadata, Maps and Interactive views are available from Catchment Scale Land Use of Australia - Update December 2023 Catchment Scale Land Use of Australia - Update December 2023 – Descriptive metadata The data was obtained from Department of Agriculture, Fisheries and Forestry - Australian Bureau of Agricultural and Resource Economics and Sciences (ABARES). ABARES is providing this data to the public under a Creative Commons Attribution 4.0 license. Lineage statement ABARES has produced this raster dataset from vector catchment scale land use data provided by state and territory agencies, as follows: Catchment Scale Land Use Mapping for the Australian Capital Territory 2012 2017 NSW Land Use v1.5 Land Use Mapping Project of the Northern Territory, 2016 – 2022 (LUMP) Land use mapping – 2021 – Great Barrier Reef NRM regions Land use mapping – 1999 to Current – Queensland (June 2019) [South Australia] Land Use (ACLUMP) (2017) Tasmanian Land Use 2022 Victorian Land Use Information System [VLUIS] 2021-22 Catchment Scale Land Use Mapping for Western Australia 2018 Australian Tree Crops, Australian Protected Cropping Structures and Queensland Soybean Crops maps (as at 30 November 2023) Applied Agricultural Remote Sensing Centre (AARSC), University of New England. Links to land use mapping datasets and metadata are available at the ACLUMP data download page at agriculture.gov.au. State and territory vector catchment scale land use data were produced by combining land tenure and other types of land use information, fine-scale satellite data and information collected in the field, as outlined in 'Guidelines for land use mapping in Australia: principles, procedures and definitions, 4th edition' (ABARES 2011). The Northern Territory, Queensland, South Australia, Tasmania, Victoria and Western Australia were mapped to version 8 of the ALUM classification (‘The Australian Land Use and Management Classification Version 8’, ABARES 2016). The Australian Capital Territory was mapped to version 7 of the ALUM classification and converted to version 8 using a look-up table based on Appendix 1 of ABARES (2016). The following agricultural (excluding intensive uses) classes were included from the Queensland Great Barrier Reef NRM Regions 2021 modified ALUM classification schema dataset: 2.2.0 Grazing native vegetation 3.2.0 Grazing modified pastures 3.3.0 Cropping 3.3.5 Sugar 3.4.0 Perennial horticulture 3.4.1 Tree fruits 3.5.0 Seasonal horticulture 3.6.0 Land in transition 4.2.0 Grazing irrigated modified pastures 4.3.0 Irrigated cropping 4.3.5 Irrigated sugar 4.4.0 Irrigated perennial horticulture 4.4.1 Irrigated tree fruits 4.5.0 Irrigated seasonal horticulture 4.6.0 Irrigated land in transition Fixes to known issues include: In Western Australia, ALUM classes 4.0.0 Production from Irrigated Agriculture and Plantations, 5.0.0 Intensive Uses and 6.0.0 Water have been attributed to secondary level by visual interpretation using satellite data. In South Australia, through consultation with the South Australian Department of Environment and Water, the mining area (ALUM class 5.8.0 Mining) within mining tenements is more accurately delineated. The area within mining tenements that is not used for mining is now attributed as grazing of native vegetation (ALUM class 2.1.0) within pastoral areas and residual native cover (ALUM class 1.3.3) outside of pastoral areas. NODATA voids in Adelaide, South Australia were filled with data from mesh block land use attributes (Australian Bureau of Statistics 2021) according to Table 8. All other NODATA voids were filled using the ESRI ArcGIS focal statistics command. For the purposes of web viewing, the data was reprojected to EPSG:3857 - Web Mercator. Land use classification The Australian Land Use and Management (ALUM) Classification version 8 is 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 concurrent 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. Table 1: Secondary land use classification symbology as RGB and hexadecimal colour values VALUE (ALUM) SECV8 Red Green Blue Hex 110; 111; 112; 113; 114; 115; 116; 117 1.1 Nature conservation 150 102 204 #9666CC 120; 121; 122; 123; 124; 125 1.2 Managed resource protection 201 190 255 #C9BEFF 130; 131; 132; 133; 134 1.3 Other minimal use 222 135 221 #DE87DD 210 2.1 Grazing native vegetation 255 255 229 #FFFFE5 220; 221; 222 2.2 Production native forests 41 137 68 #298944 310; 311; 312; 313; 314 3.1 Plantation forests 173 255 181 #ADFFB5 320; 321; 322; 323; 324; 325 3.2 Grazing modified pastures 255 211 127 #FFD37F 330; 331; 332; 333; 334.; 335; 336; 337; 338 3.3 Cropping 255 255 0 #FFFF00 340; 341; 342; 343; 344; 345; 346; 347; 348; 349 3.4 Perennial horticulture 171 135 120 #AB8778 350; 351; 352; 353 3.5 Seasonal horticulture 87 58 64 #573A40 360; 361; 362; 363; 364; 365 3.6 Land in transition 0 0 0 #000000 410; 411; 412; 413; 414 4.1 Irrigated plantation forests 236 255 224 #ECFFE0 420; 421; 422; 423; 424 4.2 Grazing irrigated modified pastures 255 170 0 #FFAA00 430; 431; 432; 433; 434; 435; 436; 437; 438; 439 4.3 Irrigated cropping 201 184 84 #C9B854 440; 441; 442; 443; 444; 445; 446; 447; 448; 449 4.4 Irrigated perennial horticulture 156 84 46 #9C542E 450; 451; 452; 453; 454 4.5 Irrigated seasonal horticulture 79 43 23 #4F2B17 460; 461; 462; 463; 464; 465 4.6 Irrigated land in transition 52 52 52 #343434 510; 511; 512; 513; 514; 515 5.1 Intensive horticulture 255 201 190 #FFC9BE 520; 521; 522; 523; 524; 525; 526; 527; 528 5.2 Intensive animal production 255 135 190 #FF87BE 530; 531; 532; 533; 534; 535; 536; 537; 538 5.3 Manufacturing and industrial 115 76 0 #734C00 540; 541 5.4.0, 5.4.1 Urban residential 255 0 0 #FF0000 542; 543; 544; 545 5.4.2, 5.4.3, 5.4.4, 5.4.5 Rural residential and farm infrastructure 156 156 156 #9C9C9C 550; 551; 552; 553; 554; 555 5.5 Services 155 0 0 #9B0000 560; 561; 562; 563; 564; 565; 566; 567 5.6 Utilities 255 127 127 #FF7F7F 570; 571; 572; 573; 574; 575 5.7 Transport and communication 168 0 0 #A80000 580; 581; 582; 583; 584 5.8 Mining 71 130 143 #47828F 590; 591; 592; 593; 594; 595 5.9 Waste treatment and disposal 41 73 82 #294952 610; 611; 612; 613; 614 6.1 Lake 0 0 255 #0000FF 620; 621; 622; 623 6.2 Reservoir/dam 0 197 255 #00C5FF 630; 631; 632; 633 6.3 River 0 112 255 #0070FF 640; 641; 642; 643 6.4 Channel/aqueduct 0 77 168 #004DA8 650; 651; 652; 653; 654 6.5 Marsh/wetland 115 178 255 #73B2FF 660; 661; 662; 663 6.6 Estuary/coastal waters 190 210 255 #BED2FF Data dictionary Attribute name Description OID Internal feature number that uniquely identifies each row. VALUE ALUM code as a three digit integer. First digit is primary code, second digit is secondary code, and third digit is tertiary code. COUNT Count of the number of raster cells in each class of VALUE. LU_CODEV8 ALUM code as a string. LU_V8N ALUM code as a three digit integer. First digit is primary code, second digit is secondary code, and third digit is tertiary code. TERTV8 ALUM tertiary code and description as a string. SECV8 ALUM secondary code and description as a string. PRIMV8 ALUM primary code and description as a string. SIMPN Code for simplified land use classification. SIMP Description of the simplified land use classification. AGIND Description of agricultural industries. Red, Green, Blue RGB values for classification colours Contact Department of Agriculture, Fisheries and Forestry (ABARES), [e-mail]