MINEDEX provides a coordinated, project-based enquiry system for textual information on mine, deposits, prospects, etc., and related infrastructure. The Operating Mine Map custom data extract is a regularly-updated point representation of the State's mines that have a Status of either operating or under development that appear on an annually produced map. The mines are automatically selected by Status and updated regularly. Show full description

The Abandoned Mine Sites database is an inventory of abandoned mine sites recommended by the Minerals Environment Liaison Committee in 1994. Following a fatal accident at an abandoned mine site near Cue in 1997, the Western Australian Government initiated funding for an ongoing program within the then Department of Minerals and Energy to develop an inventory of these sites in the State. The digital product has been released annually since December 2002, and contains records for mining-related features, which cover about 76% of the high priority historic mine sites in Western Australia. This is a comprehensive digital database of abandoned mine sites that includes photographs of individual underground and surface excavations, dumps, and rehabilitation and infrastructure features. Mining-related features are illustrated and described by morphological criteria and key attributes. Selected georeferenced historic GSWA maps and bulletins are also included. The inventory provides baseline data on historical mining-related features in Western Australia, thereby forming a solid foundation for future independent assessments of hazards, heritage value, and environmental impact. The database also provides a valuable contribution to the spatial distribution of mineralization in historical mining areas.

The digital 1:500 000 regolith map of Western Australia (preliminary edition) is based on published GSWA 1:250 000 and 1:100 000 series geological maps. These maps have been simplified for display at 1:500 000 scale to include nine geological units (exposed (areas of outcrop), colluvium, alluvium, lacustrine, coastal, tidal, calcrete, sandplain and residual) as well as areas of mining activity. This map comes with a grid spacing of 1300 metres. Data is held in GDA decimal degrees. This dataset …Show full descriptionThe digital 1:500 000 regolith map of Western Australia (preliminary edition) is based on published GSWA 1:250 000 and 1:100 000 series geological maps. These maps have been simplified for display at 1:500 000 scale to include nine geological units (exposed (areas of outcrop), colluvium, alluvium, lacustrine, coastal, tidal, calcrete, sandplain and residual) as well as areas of mining activity. This map comes with a grid spacing of 1300 metres. Data is held in GDA decimal degrees. This dataset was formally known as Regolith of WA - 1300 metre grid (DMP-008)

Detailed geological mapping at 1:50 000 providing information on such themes as structural geology, mines and mineral deposits, topography and cultural features, hydrogeological features, graphic lithological logs, potential and prospective mines and open cuts and geomorphological units. The map was published in 1984. This data is held in GDA decimal degrees. Show full description

URL: https://geoscience.data.qld.gov.au/dataset/mr010443

The NORTHWEST OF AUSTRALIA SHEET 1 map was published in 1931 to administer permit and permit related spatial information. The map was maintained internally as a provisional office chart.
The map product is available to all government agencies, industry and the public for reference.
Title and Image reference number is NORTHWEST OF AUSTRALIA SHEET 1_000763. (MR10162)

Northwest of Australia, Western Australia Sheet 1

Sites where earth resources have been demonstrated. This includes metallics, industrial minerals and construction materials, but excludes oil, gas and groundwater resources which are recorded in OILGAS and BORES datasets. OILGAS will be available for external users within Petroleum Mapshare. It is thought that groundwater resources will be available to external users within a CLPR (Catchment and Land Protection) Mapshare View.

The data is derived from Minerals and Petroleums RDBMS, which is known as VICMINE. Information on each site has been compiled mostly from historical literature, with only selected major sites visited in the field.

NOTES CONCERNING GEOVIC "Mines and Mineral Occurrence" DISPLAY

The type of mine/mineral occurrence displayed varies with the scale of the map view. Major and Intermediate size mines are displayed at all scales. Minor and Unknown size Mines are displayed at scales ranging from 1:1 to 1:500,000 MAJOR is for mine_size greater than= 85000000 MINOR is for mine_size less than 8500000 INTERMEDIATE is for mine_size between the two UNKNOWN is when the mine_size is unknown

MINE_SIZE (better name would be MINE_VALUE) is a calculated dollar amount based on the total production and resource for each commodity multiplied by the commodity price (NOTE: these commodity prices have not been updated in some time eg: as of 13/1/2013 the gold price per ounce used was $526.70 - April 1985 prices)

NOTES CONCERNING GEOVIC "Deposit Styles" DISPLAY

A number of deposit style layers exist in GeoVic. The layers are based on particular values of the dep_style attribute - within this dataset. The dep_style attribute contains the results of classifying the mineral deposits of Victoria east of approximately 142°30' and west of 145°30', but excluding the Willaura (7422) 1:100 000 map sheet area. The classification is described in detail in Moore, D.H., 2007. "Classifying gold deposits in central and western Victoria, Australia. GeoScience Victoria Gold Undercover Report".

GENERAL NOTES CONCERNING GEOVIC

Refer to Mineral Regions 1M (MINERAL) for extent of brown and black coal fields, Heavy Mineral Sands 1M (MINSAND1M) for extent of strandline mineral sand deposits, and Heavy Minerals Sands WIM 1M (MINSAND1M) for extent of WIM style mineral sand deposits.

These are products of the Soil and Landscape Grid of Australia Facility generated through disaggregation of the Western Australian soil mapping. There are 9 soil attribute products available from the Soil Facility: Available Water Holding Capacity - Volumetric (AWC); Bulk Density - Whole Earth (BDw); Bulk Density - Fine Earth (BDf); Clay (CLY); Course Fragments (CFG); Electrical Conductivity (ECD); pH Water (pHw); Sand (SND); Silt (SLT).

Each soil attribute product is a collection of 6 depth slices. Each depth raster has an upper and lower uncertainty limit raster associated with it. The depths provided are 0-5cm, 5-15cm, 15-30cm, 30-60cm, 60-100cm & 100-200cm, consistent with the Specifications of the GlobalSoilMap.

The DSMART tool (Odgers et al. 2014) tool was used in a downscaling process to translate legacy soil landscape mapping to 3” resolution (approx. 100m cell size) raster predictions of soil classes (Holmes et al. Submitted). The soil class maps were then used to produce corresponding soil property surfaces using the PROPR tool (Odgers et al. 2015; Odgers et al. Submitted). Legacy mapping was compiled for the state of WA from surveys ranging in map scale from 1:20,000 to 1:2,000,000 (Schoknecht et al., 2004). The polygons are attributed with the soils and proportions of soils within polygons however individual soils were not explicitly spatially defined. These new disaggregated map products aim to incorporate expert soil surveyor knowledge embodied in legacy polygon soil maps, while providing re-interpreted soil spatial information at a scale that is more suited to on-ground decision making.

Note: The DSMART-derived dissagregated legacy soil mapping products provide different spatial predictions of soil properties to the national TERN Soil Grid products derived by Cubist (data mining) and kriging based on site data by Viscarra Rossel et al. (Submitted). Where they overlap, the national prediction layers and DSMART products can be considered complementary predictions. They will offer varying spatial reliability (/ uncertainty) depending on the availability of representative site data (for national predictions) and the scale and expertise of legacy mapping. The national predictions and DSMART disaggregated layers have also been merged as a means to present the best available (lowest statistical uncertainty) data from both products (Clifford et al. In Prep).

Previous versions of this collection contained Depths layers. These have been removed as the units do not comply with Global Soil Map specifications. Lineage: The soil attribute maps are generated using novel spatial modelling and digital soil mapping techniques to disaggregate legacy soil mapping.

Legacy soil mapping: Polygon-based soil mapping for Western Australia’s agricultural zone was developed via WA’s Department of Agriculture and Food (Schoknecht et al., 2004). Seventy-three soil classes (termed ‘WA soil groups’ Schoknecht and Pathan, 2013) have been defined to capture the range of variation in soil profiles across this area. While legacy soil mapping does not explicitly map the distribution of these soil classes, estimates of their percentage composition and associated soil properties are available for each soil landscape map unit (polygon).

Disaggregation of soil classes: The DSMART algorithm (version 1, described in Odgers et al. 2014) was used to produce fine-resolution raster predictions for the probability of occurrence of each soil class. This uses random virtual sampling within each map unit (with sampling weighted by the expected proportions of each soil class) to build predictions for the distribution of soil classes based on relationships with environmental covariate layers (e.g. elevation, terrain attributes, climate, remote sensing vegetation indices, radiometrics). The algorithm was run 100 times then averaged to create probabilistic estimates for soil class spatial distributions.

Soil property predictions: The PROPR algorithm (Odgers et al. 2015) was used to generate soil property maps (and their associated uncertainty) using reference soil property data and the soil class probability maps create through the above DSMART disaggregation step.

Western Australia’s expert defined typical range of soil properties by soil class was used to provide reference soil properties to PROPR. These estimates were made separately for each physiographic zone across WA, and are based on available profile data and surveyor experience. Uncertainty bounds were determined by the minimum and maximum soil properties at the ‘qualified soil group’ level, and the property value of the most common soil in the map unit was used to define the typical soil property. This methodology was previously developed to meet the specifications of McKenzie et al. (2012) and provides expert soil surveyor estimates for map unit area composition and representative profile properties. Depth averaging was applied to the regional variant profile data to obtain property values at the specified GlobalSoilMap depth intervals. Then area-weighted soil property averages were calculated for each subgroup soil class. This process is documented further in Odgers et al. (Submitted).

The state of Western Australia is divided into various mineral fields, some are further divided into districts under powers contained in Section 16 of the Mining Act 1978.

URL: https://geoscience.data.qld.gov.au/dataset/mr010007

The MAMMOTH MINES WEST map was published in 1970 to administer permit and permit related spatial information. The map was maintained internally as a provisional office chart and is located within the Mammoth Mines (6758) 1:100 000 map area.
The map product is available to all government agencies, industry and the public for reference.
Title and Image reference number is MAMMOTH MINES WEST_000447.

Mammoth Mines West Location of Mineral Leases

URL: https://geoscience.data.qld.gov.au/dataset/mr003818

The WESTERN Mine map was published in 1983, charted in 1986 at 1:10 000 as part of the 1:10 000 series to administer permit and permit related spatial information. The map was maintained internally as a provisional office chart and is located within the Atherton (7963) 1:100 000 map area.
The map product is available to all government agencies, industry and the public for reference.
Title and Image reference number is WESTERN_5374.

Cancelled 1987. Author:Department of Mines, Queensland.

URL: https://geoscience.data.qld.gov.au/dataset/mr005860

The SELWYN WEST 2 Mine map was published at 2 Miles to an Inch as part of the SPECIALS-2MILES (GOLD,MINERAL,COAL FIELD SHEET) series to administer permit and permit related spatial information. The map was maintained internally as a provisional office chart and is located within the Mount Merlin (6954) 1:100 000 map area.
The map product is available to all government agencies, industry and the public for reference.
Title and Image reference number is SELWYN WEST 2_7087.

URL: https://geoscience.data.qld.gov.au/dataset/mr005858

The QUAMBY WEST 19 Mine map was published at 2 Miles to an Inch as part of the SPECIALS-2MILES (GOLD,MINERAL,COAL FIELD SHEET) series to administer permit and permit related spatial information. The map was maintained internally as a provisional office chart and is located within the Prospector (6857) 1:100 000 map area.
The map product is available to all government agencies, industry and the public for reference.
Title and Image reference number is QUAMBY WEST 19_7085.

AbstractCatchment Scale Land Use of Australia (CLUM), depicted as 19 simplified land use classes based on the simplified classes of the Australian Land Use and Management (ALUM) Classification version 8.The classes are Nature conservation, Managed resource protection, Other minimal use, Grazing native vegetation, Production native forests, Grazing modified pastures, Plantation forests (commercial and other), Dryland cropping, Dryland horticulture, Land in transition, Irrigated pastures, Irrigated cropping, Irrigated horticulture, Intensive horticulture and animal production, Rural residential and farm infrastructure, Urban residential, Other intensive uses, Mining and waste, and Water.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.CurrencyDate modified: June 2024Modification frequency: As requiredData extentSpatial extentNorth: -8.03°South: -45.5°East: 161.5°West: 105.7°Source informationData, Metadata, Maps and Interactive views are available from Catchment Scale Land Use of Australia - Update 2023Catchment Scale Land Use of Australia - Update 2023 – Descriptive metadataThe 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 statementABARES 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 20122017 NSW Land Use v1.5Land Use Mapping Project of the Northern Territory, 2016 – 2022 (LUMP)Land use mapping – 2021 – Great Barrier Reef NRM regionsLand use mapping – 1999 to Current – Queensland (June 2019)[South Australia] Land Use (ACLUMP) (2017)Tasmanian Land Use 2022Victorian Land Use Information System [VLUIS] 2021-22Catchment Scale Land Use Mapping for Western Australia 2018Australian 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 vegetation3.2.0 Grazing modified pastures3.3.0 Cropping3.3.5 Sugar3.4.0 Perennial horticulture3.4.1 Tree fruits3.5.0 Seasonal horticulture3.6.0 Land in transition4.2.0 Grazing irrigated modified pastures4.3.0 Irrigated cropping4.3.5 Irrigated sugar4.4.0 Irrigated perennial horticulture4.4.1 Irrigated tree fruits4.5.0 Irrigated seasonal horticulture4.6.0 Irrigated land in transitionFixes 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 classificationThe 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: Simplified land use classification symbology as RGB and hexadecimal colour valuesVALUESIMPNSIMPRedGreenBlueHex110; 111; 112; 113; 114; 115; 116; 1171Nature conservation150102204#9666CC120; 121; 122; 123; 124; 1252Managed resource protection201190255#C9BEFF130; 131; 132; 133; 1343Other minimal use222135221#DE87DD2104Grazing native vegetation255255229#FFFFE5220; 221; 2225Production native forests4113768#298944310; 311; 312; 313; 314; 410; 411; 412; 413; 4146Plantation forests173255181#ADFFB5320; 321; 322; 323; 324; 3257Grazing modified pastures255211127#FFD37F330; 331; 332; 333; 334; 335; 336; 337; 3388Dryland cropping2552550#FFFF00340; 341; 342; 343; 344; 345; 346; 347; 348; 349; 350; 351; 352; 3539Dryland horticulture171135120#AB8778360; 361; 362; 363; 364; 365; 460; 461; 462; 463; 464; 46510Land in transition000#000000420; 421; 422; 423; 42411Irrigated pastures2551700#FFAA00430; 431; 432; 433; 434; 435; 436; 437; 438; 43912Irrigated cropping20118484#C9B854440; 441; 442; 443; 444; 445; 446; 447; 448; 449; 450; 451; 452; 453; 45413Irrigated horticulture1568446#9C542E510; 511; 512; 513; 514; 515; 520; 521; 522; 523; 524; 525; 526; 527; 52814Intensive horticulture and animal production255201190#FFC9BE542; 543; 544; 54515Rural residential and farm infrastructure178178178#B2B2B2540; 54116Urban residential25500#FF0000530; 531; 532; 533; 534; 535; 536; 537; 538; 550; 551; 552; 553; 554; 555; 560; 561; 562; 563; 564; 565; 566; 567; 570; 571; 572; 573; 574; 57517Other intensive uses15500#9B0000580; 581; 582; 583; 584; 590; 591; 592; 593; 594; 59518Mining and waste71130143#47828F610; 611; 612; 613; 614; 620; 621; 622; 623; 630; 631; 632; 633; 640; 641; 642; 643; 650; 651; 652; 653; 654; 660; 661; 662; 66319Water00255#0000FF Note: Codes refer to the Australian Land Use and Management (ALUM) Classification, version 8.SIMPN 0 = No data is not present in Catchment Scale land Use of Australia 2023Data dictionaryAttribute nameDescriptionOIDInternal feature number that uniquely identifies each row.VALUEALUM code as a three digit integer. First digit is primary code, second digit is secondary code, and third digit is tertiary code.COUNTCount of the number of raster cells in each class of VALUE.LU_CODEV8ALUM code as a string.LU_V8NALUM code as a three digit integer. First digit is primary code, second digit is secondary code, and third digit is tertiary code.TERTV8ALUM tertiary code and description as a string.SECV8ALUM secondary code and description as a string.PRIMV8ALUM primary code and description as a string.SIMPNCode for simplified land use classification.SIMPDescription of the simplified land use classification.AGINDDescription of agricultural industries.Red, Green, BlueRGB values for classification colours ContactDepartment of Agriculture, Fisheries and Forestry (ABARES), info.ABARES@aff.gov.au

Abstract The Catchment Scale Land Use of Australia – Update December 2023 dataset is the national compilation of catchment scale land use data available for Australia (CLUM), as of 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: December 2023 Publication Date: June 2024 Modification frequency: As needed (approximately annual) Data Extent Coordinate reference: WGS84 / Mercator Auxiliary Sphere Spatial Extent North: -9.995 South: -44.005 East: 154.004 West: 112.505 Source information Data, Metadata, Maps and Interactive views are available from Catchment Scale Land Use of Australia - Update 2023 Catchment Scale Land Use of Australia - Update 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 This catchment scale land use dataset provides the latest compilation of land use mapping information for Australia’s regions as at December 2023. It is used by the Department of Agriculture, Fisheries and Forestry, state agencies and regional natural resource management groups to address issues such as agricultural productivity and sustainability, biodiversity conservation, biosecurity, land use planning, natural disaster management and natural resource monitoring and investment. The data vary in date of mapping (2008 to 2023) and scale (1:5,000 to 1:250,000). 2023 updates include more current data and/or reclassification of existing data. The following areas have updated data since the December 2020 version:

New South Wales (2017 v1.5 from v1.2). Northern Territory (2022 from 2020). Tasmania (2021 from 2019). Victoria (2021 from 2017). Data were also added from the Great Barrier Reef Natural Resource Management (NRM) regions in Queensland (2021 from a variety of dates 2009 to 2017). the Australian Tree Crops. Australian Protected Cropping Structures and Queensland Soybean Crops maps as downloaded on 30 November 2023. The capital city of Adelaide was updated using 2021 mesh block information from the Australian Bureau of Statistics. Minor reclassifications were made for Western Australia and mining area within mining tenements more accurately delineated in South Australia.

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). Purpose for which the material was obtained: This catchment scale land use dataset provides the latest compilation of land use mapping information for Australia’s regions as at December 2023. It is used by the Department of Agriculture, Fisheries and Forestry, state agencies and regional natural resource management groups to address issues such as agricultural productivity and sustainability, biodiversity conservation, biosecurity, land use planning, natural disaster management and natural resource monitoring and investment. The data vary in date of mapping (2008 to 2023) and scale (1:5,000 to 1:250,000). Do not use this data to:

Derive national statistics. The Land use of Australia data series should be used for this purpose. Calculate land use change. The Land use of Australia data series should be used for this purpose.

It is not possible to calculate land use change statistics between annual CLUM national compilations as not all regions are updated each year; land use mapping methodologies, precision, accuracy and source data and satellite imagery have improved over the years; and the land use classification has changed over time. It is only possible to calculate change when earlier land use datasets have been revised and corrected to ensure that changes detected are real change and not an artefact of the mapping process. Note: The Digital Atlas of Australia downloaded and created a copy of the source data in October 2024 that was suitable to be hosted through ArcGIS Image Server & Image Dedicated. A copy of the raster was created with RGB fields as a colour map with Geoprocessing tools in ArcPro. Note: The Digital Atlas of Australia downloaded and created a copy of the source data in February 2025 that was suitable to be hosted through ArcGIS Image Server & Image Dedicated. A copy of the raster dataset was created with RGB fields as a colour map with Geoprocessing tools in ArcPro, and the raster dataset was re-projected from 1994 Australia Albers to WGS 1984 Web Mercator (Auxiliary Sphere). Data dictionary

Field name DField description Code values

OID Internal feature number that uniquely identifies each row Integer

Service Pixel value (Date) The year for which land use was mapped in the vector data provided by state and territory agencies or others, Date Range: 2008 to 2023 Integer

Count Count of the number of raster cells in each class of VALUE Integer

Label Reflecting the Date of the source data ranges from 2008 to 2023 Text

Contact Department of Agriculture, Fisheries and Forestry (ABARES), info.ABARES@aff.gov.au

A legacy of over 500 paper maps records geological lineament analysis of Australia conducted by the late Tim O'Driscoll in Western Mining Corporation Exploration Division during the 1960s to 1980s. The lineament interpretations were used to target mineral exploration, famously including the analysis that led to the discovery of the Olympic Dam deposit in South Australia. Papers discussing the lineament approach are collected in Bourne & Twidale (2007). Lineaments were interpreted from a range of data available at the time, including magnetic and gravity maps, topography, standard geological maps, and 'chicken track'interpretation of aerial photographs and early satellite images. This product comprises high quality digital scans of 130 of the original paper maps, rectified and georeferenced for use in GIS software. Geoscience Australia reproduces these maps and makes them available publicly for their historic and scientific interest. The paper originals are held in the Geoscience Australia library.

Abstract The Catchment Scale Land Use of Australia – Update December 2023 dataset is the national compilation of catchment scale land use data available for Australia (CLUM), as of 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: December 2023 Date Published: June 2024 Modification frequency: As needed (approximately annual) Data Extent Coordinate reference: WGS84 / Mercator Auxiliary Sphere Spatial Extent North: -9.995 South: -44.005 East: 154.004 West: 112.505 Source information Data, Metadata, Maps and Interactive views are available from Catchment Scale Land Use of Australia - Update 2023 Catchment Scale Land Use of Australia - Update 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 This catchment scale land use dataset provides the latest compilation of land use mapping information for Australia’s regions as at December 2023. It is used by the Department of Agriculture, Fisheries and Forestry, state agencies and regional natural resource management groups to address issues such as agricultural productivity and sustainability, biodiversity conservation, biosecurity, land use planning, natural disaster management and natural resource monitoring and investment. The data vary in date of mapping (2008 to 2023) and scale (1:5,000 to 1:250,000). 2023 updates include more current data and/or reclassification of existing data. The following areas have updated data since the December 2020 version:

New South Wales (2017 v1.5 from v1.2). Northern Territory (2022 from 2020). Tasmania (2021 from 2019). Victoria (2021 from 2017). Data were also added from the Great Barrier Reef Natural Resource Management (NRM) regions in Queensland (2021 from a variety of dates 2009 to 2017). the Australian Tree Crops. Australian Protected Cropping Structures and Queensland Soybean Crops maps as downloaded on 30 November 2023. The capital city of Adelaide was updated using 2021 mesh block information from the Australian Bureau of Statistics. Minor reclassifications were made for Western Australia and mining area within mining tenements more accurately delineated in South Australia.

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). Purpose for which the material was obtained: This catchment scale land use dataset provides the latest compilation of land use mapping information for Australia’s regions as at December 2023. It is used by the Department of Agriculture, Fisheries and Forestry, state agencies and regional natural resource management groups to address issues such as agricultural productivity and sustainability, biodiversity conservation, biosecurity, land use planning, natural disaster management and natural resource monitoring and investment. The data vary in date of mapping (2008 to 2023) and scale (1:5,000 to 1:250,000). Do not use this data to:

Derive national statistics. The Land use of Australia data series should be used for this purpose. Calculate land use change. The Land use of Australia data series should be used for this purpose.

It is not possible to calculate land use change statistics between annual CLUM national compilations as not all regions are updated each year; land use mapping methodologies, precision, accuracy and source data and satellite imagery have improved over the years; and the land use classification has changed over time. It is only possible to calculate change when earlier land use datasets have been revised and corrected to ensure that changes detected are real change and not an artefact of the mapping process. Note: The Digital Atlas of Australia downloaded and created a copy of the source data in October 2024 that was suitable to be hosted through ArcGIS Image Server & Image Dedicated. A copy of the raster was created with RGB fields as a colour map with Geoprocessing tools in ArcPro. Note: The Digital Atlas of Australia downloaded and created a copy of the source data in February 2025 that was suitable to be hosted through ArcGIS Image Server & Image Dedicated. A copy of the raster dataset was created with RGB fields as a colour map with Geoprocessing tools in ArcPro, and the raster dataset was re-projected from 1994 Australia Albers to WGS 1984 Web Mercator (Auxiliary Sphere). Data dictionary

Attribute name Description

OID Internal feature number that uniquely identifies each row.

Service Pixel value (Scale) The scale at which land use was mapped in the vector catchment scale land use data provided by state and territory agencies or others:1:5,000, 1:10,000, 1:20,000, 1:25,000, 1:50,000, 1:100,000 or 1:250,000

Count Count of the number of raster cells in each class of VALUE.

Label Reflecting the scale of the source data ranges from 1:5,000 to 1:250,000

Contact Department of Agriculture, Fisheries and Forestry (ABARES), info.ABARES@aff.gov.au

URL: https://geoscience.data.qld.gov.au/dataset/mr010408

The WESTERN map was published in 1983 to administer permit and permit related spatial information. The map was maintained internally as a provisional office chart and is located within the Atherton (7963) 1:100 000 map area.
The map product is available to all government agencies, industry and the public for reference.
Title and Image reference number is WESTERN_001477.

Western 7963-241 Herberton Mining Field Herberton Mining District Cairns Inspector of Mines Preliminary Edition

Mineral resource occurrence data covering the world, most thoroughly within the U.S. This database contains the records previously provided in the Mineral Resource Data System (MRDS) of USGS and the Mineral Availability System/Mineral Industry Locator System (MAS/MILS) originated in the U.S. Bureau of Mines, which is now part of USGS. The MRDS is a large and complex relational database developed over several decades by hundreds of researchers and reporters. While database records describe mineral resources worldwide, the compilation of information was intended to cover the United States completely, and its coverage of resources in other countries is incomplete. The content of MRDS records was drawn from reports previously published or made available to USGS researchers. Some of those original source materials are no longer available. The information contained in MRDS was intended to reflect the reports used as sources and is current only as of the date of those source reports. Consequently MRDS does not reflect up-to-date changes to the operating status of mines, ownership, land status, production figures and estimates of reserves and resources, or the nature, size, and extent of workings. Information on the geological characteristics of the mineral resource are likely to remain correct, but aspects involving human activity are likely to be out of date.

Detailed geological mapping at 1:50 000 providing information on such themes as structural geology, mines and mineral deposits, topography and cultural features, hydrogeological features, graphic lithological logs, potential and perspective mines and open cuts and geomorphological units. The map was published in 1982. This data is held in GDA decimal degrees. Show full description

URL: https://geoscience.data.qld.gov.au/dataset/mr005084

The SAPPHIRE WEST Mine map was published in 1980, charted in 1981 at 1:5 000 as part of the 1:5000 series to administer permit and permit related spatial information. The map was maintained internally as a provisional office chart and is located within the Rubyvale (8451) 1:100 000 map area.
The map product is available to all government agencies, industry and the public for reference.
Title and Image reference number is SAPPHIRE WEST_5000.

Cancelled 1985. Author:Department of Mines, Queensland.