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

AbstractThis layer shows where and how data gaps were filled for the Land tenure of Australia 2020–21. The data caveats highlight known uncertainties in land tenure for 2020-21 when reporting land tenure change in the Land tenure of Australia 2010-11 to 2020-21. The data was produced by the Australian Bureau of Agricultural and Resource Economics and Sciences (ABARES) within the Australian Government Department of Agriculture, Fisheries and Forestry as part of the Australian Collaborative Land Use and Management Program (ACLUMP). For more information see the dataset metadata at DOI: 10.25814/89rx-zs30.CurrencyDate modified: 31 October 2024Publication Date: 31 October 2024Modification frequency: As neededData ExtentCoordinate reference: WGS84 / Mercator Auxiliary SphereSpatial ExtentThe following spatial extent is provided in the Geocentric Datum of Australia (GDA94).North: -9.995South: -44.005East: 154.004West: 112.505Source InformationData, Metadata, Maps and Interactive views are available from Land tenure of Australia 2010–11 to 2020–21 Land tenure of Australia 2010–11 to 2020–21 – Descriptive metadataThe data was obtained from the 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 StatementThe data caveat shows where no data voids for 2020–21 were filled by data from recent years, spatial filtering (despeckling), stock route or Tenure of Australia's forests (2018). For more information see the dataset metadata.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 ArcGIS Pro, and the raster dataset was re-projected from 1994 Australia Albers to WGS 1984 Web Mercator (Auxiliary Sphere). Additionally, records that have a -1 value have been removed to improve web mapping performance. This Web Mapping Service is for display purposes only. It is in Web Mercator projection and not suitable for deriving area statistics. For any analyses use the original dataset published in Albers projection.Table: Data caveat (DC) attribute for 2020-21 descriptions and meaningsDCDC_DESCMeaning-1OffshoreOffshore0No data/unresolvedNo data/unresolved tenure for this pixel. Captures where there is no tenure data or conflicting data sources; includes water features with unallocated tenure.1No data caveatNo known data caveats for this pixel.2No data in 2020–21, filled with 2015–16 dataThe pixel was populated with the same dataset for 2015–16 as no data was available for 2020–21. Change detection may be limited due to data availability issues.3No data in 2020-21, filled with 2010–11 dataThe pixel was populated with the same dataset for 2010–11 as no data was available for either 2020–21 or 2015–16. Change detection may be limited due to data availability issues.4No data in the 10 years prior or post, filled with despeckling processNo data was available for both target periods, so a modelled approach was used to fill no data voids. Only no data voids <0.0002 degrees squared were filled using this method. Change detection may be limited due to data availability and modelling issues.5No data in the 10 years prior or post, filled with Tenure of Australia’s forests (2018) aNo data was available for both target periods and filled from ABARES' Tenure of Australia’s forests (2018) dataset. Latest date of information/currency is 30 June 2016. This was not applied to Inland water bodies in Tasmania which remain no data. Change detection may be limited due to data availability and modelling issues.6Updated lease with 2015–16 dataLeasehold pixel where lease type was defined by 2015–16 data. Data attribution improved, but change detection may be limited due to data availability issues.7Updated lease with 2010–11 dataLeasehold pixel where lease type was defined by 2010–11 data. Data attribution improved, but change detection may be limited due to data availability issues.8No data in the 10 years prior or post, filled with stock route data bThe pixel was identified as a stock route and filled. This applies to areas of no data in Western Australia and Queensland. Change detection may be limited due to data availability and modelling issues.a Tenure of Australia’s forests (2018) provides tenure for forests and land. LEASE is assigned to Other lease, with the other classes transferring to the equivalent class name if used to fill; Freehold, Nature conservation reserve, Multiple-use public forest or Other Crown land.b Stock routes assigned to Other Crown purposes.Data DictionaryField NameField DescriptionData TypeOID*Internal feature number that uniquely identifies each row.OIDValue (Service Pixel Value)Data caveat code. The code describes the data caveat related to using the cell for change detection. Refer to Tables A2.2-A2.4 of the dataset metadata.Integer, range: -1 to 8Count*Count of the number of raster cells in each class of Value.Integer countLabelLabel for data caveatTextDC_DESCDescription of data caveat code. Describes the data caveat related to using the cell for change detection. Refer to Tables A2.2-A2.4 of the dataset metadata.TextRed*Red RGB value for classification colours.IntegerGreen*Green RGB value for classification colours.IntegerBlue*Blue RGB value for classification colours.Integer* Denotes a hidden fieldContactAustralian Government Department of Agriculture, Fisheries and Forestry – Australian Bureau of Agricultural and Resource Economics and Sciences (ABARES), land_management@aff.gov.au.

AbstractThis layer shows where changes in land tenure were observed in Australia between 2010–11, 2015–16 and 2020–21 at Level 3 of the hierarchical tenure classification. The data was produced by the Australian Bureau of Agricultural and Resource Economics and Sciences (ABARES) within the Australian Government Department of Agriculture, Fisheries and Forestry as part of the Australian Collaborative Land Use and Management Program (ACLUMP). For more information see the dataset metadata at https://doi.org/10.25814/89rx-zs30.CurrencyDate Modified: 31 October 2024Publication Date: 31 October 2024Modification Frequency: As neededData ExtentCoordinate Reference: WGS84 / Mercator Auxiliary SphereSpatial ExtentThe following spatial extent is provided in the Geocentric Datum of Australia (GDA94).North: -9.995South: -44.005East: 154.004West: 112.505Source InformationData, Metadata, Maps and Interactive views are available from Land tenure of Australia 2010–11 to 2020–21 Land tenure of Australia 2010–11 to 2020–21 – 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 StatementThe data is the combined change from the constructed land tenure datasets for the three time periods. Refer to the data caveat for each time period to track possible issues with this data for reporting change. For more information see the dataset.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 ArcGIS Pro, and the raster dataset was re-projected from 1994 Australia Albers to WGS 1984 Web Mercator (Auxiliary Sphere). Additionally, records that have a -1 value have been removed to improve web mapping performance. This Web Mapping Service is for display purposes only. It is in Web Mercator projection and not suitable for deriving area statistics. For any analyses use the original dataset published in Albers projection.Table: Land tenure of Australia 2010-11 to 2020-21, Tenure change, Level 3 descriptions and meaningsValueDescriptionMeaning-1OffshoreOffshore0No data/unresolvedNo data/unresolved tenure. Captures areas where there is no tenure data or conflicting data sources; includes water features with unallocated tenure.1No observed difference/changeNo change in tenure observed between 2010–11 and 2015–16, nor between 2015–16 and 2020–21, at Level 3.2Observed difference/change between 2010–11 and 2015–16Change in tenure observed between 2010–11 and 2015–16 but no change observed between 2015–16 and 2020–21, at Level 3.3Observed difference/change between 2015–16 and 2020–21No change in tenure observed between 2010–11 and 2015–16 but change observed between 2015–16 and 2020–21, at Level 3.4Observed difference/change between 2010–11 and 2015–16 and between 2015–16 and 2020–21Change in tenure observed between 2010–11 and 2015–16 and between 2015–16 and 2020–21, at Level 3.Data DictionaryField NameField DescriptionData TypeOID *Internal feature number that uniquely identifies each row.OIDValue (Service Pixel Value)Observed tenure change code for the relevant AUSTEN level. Refer to Table A2.1 of the dataset metadata.Integer, range: -1 to 4Count *Count of the number of raster cells in each class of Value.Integer countTCH_DESCDescription of observed tenure change code. Refer to Table A2.1 of the dataset metadata.TextLabel *Label reflecting the observed tenure change code for the relevant AUSTEN level.TextRed *Red RGB value for classification colours.IntegerGreen *Green RGB value for classification colours.IntegerBlue Blue RGB value for classification colours.Integer Denotes a hidden field.ContactAustralian Government Department of Agriculture, Fisheries and Forestry – Australian Bureau of Agricultural and Resource Economics and Sciences (ABARES), land_management@aff.gov.au.

This modern and specific icon is dedicated to representing Intelligent Transportation System (ITS) Variable Message Signs (VMS), or digital transportation signs. It retains the powerful, cautionary presence of the red circle with a defining black border, instantly drawing the viewer's attention. Positioned centrally is a simple, bold black outline of a rectangular digital sign. This internal graphic clearly signifies the presence or relevance of dynamic, electronic information being relayed to drivers (such as real-time traffic, travel times, or incident alerts). The icon serves as a clear visual link between a specific piece of information and the dynamic digital signage used throughout the transportation network.

AbstractThis layer shows where and how data gaps were filled for the Land tenure of Australia 2010–11. The data caveats highlight known uncertainties in land tenure for 2010-11 when reporting land tenure change in the Land tenure of Australia 2010-11 to 2020-21. The data was produced by the Australian Bureau of Agricultural and Resource Economics and Sciences (ABARES) within the Australian Government Department of Agriculture, Fisheries and Forestry as part of the Australian Collaborative Land Use and Management Program (ACLUMP). For more information see the dataset metadata at DOI: 10.25814/89rx-zs30.CurrencyDate modified: 31 October 2024Publication Date: 31 October 2024Modification frequency: As neededData ExtentCoordinate reference: WGS84 / Mercator Auxiliary SphereSpatial Extent:The following spatial extent is provided in the Geocentric Datum of Australia (GDA94).North: -9.995South: -44.005East: 154.004West: 112.505Source InformationData, Metadata, Maps and Interactive views are available from Land tenure of Australia 2010–11 to 2020–21 Land tenure of Australia 2010–11 to 2020–21 – 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 StatementThis data caveat shows where no data voids for 2020–21 were filled by data from recent years, spatial filtering (despeckling), stock routes or Tenure of Australia's Forest (2018). For more information see the dataset metadata.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 ArcGIS Pro, and the raster dataset was re-projected from 1994 Australia Albers to WGS 1984 Web Mercator (Auxiliary Sphere). Additionally, records that have a -1 value have been removed to improve web mapping performance. This Web Mapping Service is for display purposes only. It is in Web Mercator projection and not suitable for deriving area statistics. For any analyses use the original dataset published in Albers projection.Table: Data caveat (DC) attribute for 2010-11 descriptions and meaningsDCDC_DESCMeaning-1OffshoreOffshore0No data/unresolvedNo data/unresolved tenure for this pixel. Captures where there is no tenure data or conflicting data sources; includes water features with unallocated tenure.1No data caveatNo known data caveats for this pixel.2No data in 2010–11, filled with 2015–16 dataThe pixel was populated with the same dataset for 2015–16 as no data was available for 2010–11. Change detection may be limited due to data availability issues.3No data in 2010–11, filled with 2020–21 dataThe pixel was populated with the same dataset for 2020–21 as no data was available for either 2010–11 or 2015–16. Change detection may be limited due to data availability issues.4No data in the 10 years prior or post, filled with despeckling processNo data was available for both target periods, so a modelled approach was used to fill no data voids. Only no data voids <0.0002 degrees squared were filled using this method. Change detection may be limited due to data availability and modelling issues.5No data in the 10 years prior or post, filled with Tenure of Australia’s forests (2018) aNo data was available for both target periods and filled from ABARES' Tenure of Australia’s forests (2018) dataset. Latest date of information/currency is 30 June 2016. This was not applied to Inland water bodies in Tasmania which remain no data. Change detection may be limited due to data availability and modelling issues.6Updated lease with 2015–16 dataLeasehold pixel where lease type was defined by 2015–16 data. Data attribution improved, but change detection may be limited due to data availability issues.7Updated lease with 2020–21 dataLeasehold pixel where lease type was defined by 2020–21 data. Data attribution improved, but change detection may be limited due to data availability issues.8No data in the 10 years prior or post, filled with stock route data bThe pixel was identified as a stock route and filled. This applies to areas of no data in Western Australia and Queensland. Change detection may be limited due to data availability and modelling issues.a Tenure of Australia's forests (2018) provides tenure for forests and land. LEASE is assigned to Other lease, with the other classes transferring to the equivalent class name if used to fill; Freehold, Nature conversation reserve, Multiple-use public forest or Other Crown land.b Stock routes assigned to Other Crown purposes.Data DictionaryField NameField DescriptionData TypeOID *Internal feature number that uniquely identifies each row.OIDValue (Service Pixel Value)Data caveat code. The code describes the data caveat related to using the cell for change detection. Refer to Tables A2.2-A2.4 of the dataset metadata.Integer, range: -1 to 8Count *Count of the number of raster cells in each class of Value.Integer countLabelLabel for data caveatTextDC_DESCDescription of data caveat code. Describes the data caveat related to using the cell for change detection. Refer to Tables A2.2-A2.4 of the dataset metadata.TextRed *Red RGB value for classification colours.IntegerGreen *Green RGB value for classification colours.IntegerBlue Blue RGB value for classification colours.Integer Denotes a hidden field.ContactAustralian Government Department of Agriculture, Fisheries and Forestry – Australian Bureau of Agricultural and Resource Economics and Sciences (ABARES), land_management@aff.gov.au.

This Census Bureau Tile Layer displays Low Response Scores (LRS) by census tracts, utilized in the Response Outreach Area Mapper application. Per USCB, "The LRS is a metric developed by the Census Bureau to predict the percentage of households who will not self-respond to the Decennial Census. Support layers include State (or state equivalent) Boundary and County (or county equivalent) Boundary.Census Tract 36.01 Low Response ScoreData currency: Current Census service (ROAM/ROAM_Cache)Data modification(s): noneFor more information: Response Outreach Area Mapper; Response Outreach Area Mapper (ROAM)For feedback please contact: ArcGIScomNationalMaps@esri.comThumbnail image courtesy of: U.S. Department of AgricultureU.S. Census BureauPer USCB, "the Census Bureau is the federal government’s largest statistical agency. We are dedicated to providing current facts and figures about America’s people, places, and economy. Federal law protects the confidentiality of all the information the Census Bureau collects."

AbstractThis layer shows where and how data gaps were filled for the Land tenure of Australia 2015–16. The data caveats highlight known uncertainties in land tenure for 2015-16 when reporting land tenure change in the Land tenure of Australia 2010-11 to 2020-21. The data was produced by the Australian Bureau of Agricultural and Resource Economics and Sciences (ABARES) within the Australian Government Department of Agriculture, Fisheries and Forestry as part of the Australian Collaborative Land Use and Management Program (ACLUMP). For more information see the dataset metadata at DOI: 10.25814/89rx-zs30.CurrencyDate modified: 31 October 2024Publication Date: 31 October 2024Modification frequency: As neededData ExtentThe following spatial extent is provided in the Geocentric Datum of Australia (GDA94).Coordinate reference: WGS84 / Mercator Auxiliary SphereSpatial ExtentNorth: -9.995South: -44.005East: 154.004West: 112.505Source InformationData, Metadata, Maps and Interactive views are available from Land tenure of Australia 2010–11 to 2020–21 Land tenure of Australia 2010–11 to 2020–21 – Descriptive metadataThe data was obtained from the 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 StatementThe data caveat shows where data voids for 2015–16 were filled by data from recent years, spatial filtering (despeckling), stock routes or Tenure of Australia's forests (2018). For more information see the dataset metadata.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 ArcGIS Pro, and the raster dataset was re-projected from 1994 Australia Albers to WGS 1984 Web Mercator (Auxiliary Sphere). Additionally, records that have a -1 value have been removed to improve web mapping performance. This Web Mapping Service is for display purposes only. It is in Web Mercator projection and not suitable for deriving area statistics. For any analyses use the original dataset published in Albers projection.Table: Data caveat (DC) attribute for 2015-16 descriptions and meaningsDCDC_DESCMeaning-1OffshoreOffshore0No data/unresolvedNo data/unresolved tenure for this pixel. Captures where there is no tenure data or conflicting data sources; includes water features with unallocated tenure.1No data caveatNo known data caveats for this pixel.2No data in 2015–16, filled with 2010–11 dataThe pixel was populated with the same dataset for 2010–11 as no data was available for 2015–16. Change detection may be limited due to data availability issues3No data in 2015–16, filled with 2020–21 dataThe pixel was populated with the same dataset for 2020–21 as no data was available for either 2015–16 or 2010–11. Change detection may be limited due to data availability issues.4No data in the 10 years prior or post, filled with despeckling processNo data was available for both target periods, so a modelled approach was used to fill no data voids. Only no data voids <0.0002 degrees squared were filled using this method. Change detection may be limited due to data availability and modelling issues.5No data in the 10 years prior or post, filled with Tenure of Australia’s forests (2018) aNo data was available for both target periods and filled from ABARES" Tenure of Australia’s forests (2018) dataset. Latest date of information/currency is 30 June 2016. This was not applied to Inland water bodies in Tasmania which remain no data. Change detection may be limited due to data availability and modelling issues.6Updated lease with 2010–11 dataLeasehold pixel where lease type was defined by 2010–11 data. Data attribution improved, but change detection may be limited due to data availability issues.7Updated lease with 2020–21 dataLeasehold pixel where lease type was defined by 2020–21 data. Data attribution improved, but change detection may be limited due to data availability issues.8No data in the 10 years prior or post, filled with stock route data bThe pixel was identified as a stock route and filled. This applies to areas of no data in Western Australia and Queensland. Change detection may be limited due to data availability and modelling issues.a Tenure of Australia’s forests (2018) provides tenure for forests and land. LEASE is assigned to Other lease, with the other classes transferring to the equivalent class name if used to fill; Freehold, Nature conservation reserve, Multiple-use public forest or Other Crown land.b Stock routes assigned to Other Crown purposes.Data DictionaryField NameField DescriptionData TypeOID *Internal feature number that uniquely identifies each row.OIDValue (Service Pixel Value)Data caveat code. The code describes the data caveat related to using the cell for change detection. Refer to Tables A2.2-A2.4 of the dataset metadata.Integer, range: -1 to 8Count *Count of the number of raster cells in each class of Value.Integer countLabelLabel for data caveatTextDC_DESCDescription of data caveat code. Describes the data caveat related to using the cell for change detection. Refer to Tables A2.2-A2.4TextRed *Red RGB value for classification colours.IntegerGreen *Green RGB value for classification colours.IntegerBlue *Blue RGB value for classification colours.IntegerContactAustralian Government Department of Agriculture, Fisheries and Forestry – Australian Bureau of Agricultural and Resource Economics and Sciences (ABARES), land_management@aff.gov.au.

National Wildlife RefugesThis U.S. Fish and Wildlife Service (FWS) feature layer depicts National Wildlife Refuges. These Refuges display external boundary of lands and waters administered by FWS. According to FWS, "These boundaries are simplified from the U.S. Fish and Wildlife Service Real Estate Interest data layer containing polygons representing tracts of land (parcels) in which the Service has a real estate interest. Interior boundaries between parcels were dissolved to produce a single set of simplified external boundaries for each feature. These are resource grade mapping representations of the U.S. Fish and Wildlife Service boundaries."Patuxent Research RefugeData currency: current Federal service (National Wildlife Refuge System Boundaries)Data modification(s): NoneFor more information: National Wildlife Refuge SystemFor feedback please contact: ArcGIScomNationalMaps@esri.comThumbnail image courtesy of: U.S. Department of AgricultureFish and Wildlife Service (FWS)Per FWS, " The U.S. Fish and Wildlife Service is the premier government agency dedicated to the conservation, protection, and enhancement of fish, wildlife and plants, and their habitats. We are the only agency in the federal government whose primary responsibility is the conservation and management of these important natural resources for the American public."

AbstractThis layer shows where land is owned, leased, reserved or unallocated to a defined purpose in Australia for 2010–11.Tenure information in this dataset is classified according to a four-tiered hierarchical structure, ordered in increasing level of detail. Level 1 distinguishes between the basic land title types of Freehold and Crown land. Level 2 splits Crown land into leasehold, dedicated or reserved for Crown purposes and other Crown land. Level 3 further distinguishes Crown land, defining leasehold type or Crown purposes type based on term and purpose. Leasehold types are split into Freeholding lease, Pastoral perpetual lease, Other perpetual lease, Pastoral term lease, Other term lease, and Other lease. Crown purposes are split into Nature conservation reserve, Multiple-use public forest and Other Crown purposes. Level 4 distinguishes land with an Indigenous land grant, either Crown land held on behalf of, or freehold land owned by, traditional owner groups. Level 4 does not include native title which applies alongside tenure. While the underlying dataset reflects the most detailed tenure classification (Level 4), the layer’s symbology is simplified to Level 3. It separates tenure into Freehold and Crown land specifying types of leasehold (6 classes) and Crown purposes (3 classes) plus Other Crown land.This layer was used in the National Land Account, Experimental Estimates 2021 released by the Australian Bureau of Statistics. The data was produced by the Australian Bureau of Agricultural and Resource Economics and Sciences (ABARES) within the Australian Government Department of Agriculture, Fisheries and Forestry as part of the Australian Collaborative Land Use and Management Program (ACLUMP). For more information see the dataset metadata at https://doi.org/10.25814/89rx-zs30.CurrencyDate modified: 31 October 2024Publication Date: 31 October 2024Modification frequency: As neededData ExtentCoordinate reference: WGS84 / Mercator Auxiliary SphereSpatial ExtentThe following spatial extent is provided in the Geocentric Datum of Australia (GDA94).North: -9.995South: -44.005East: 154.004West: 112.505Source InformationData, Metadata, Maps and Interactive views are available from Land tenure of Australia 2010–11 to 2020–21 Land tenure of Australia 2010–11 to 2020–21 – 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 StatementThe data was constructed by combining jurisdictional land title information from digital cadastral databases or their equivalents with Indigenous land grant instruments areas. For more information see the metadata.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 ArcGIS Pro, and the raster dataset was re-projected from 1994 Australia Albers to WGS 1984 Web Mercator (Auxiliary Sphere). Additionally, records that have a -1 value have been removed to improve web mapping performance. This Web Mapping Service is for display purposes only. It is in Web Mercator projection and not suitable for deriving area statistics. For any analyses use the original dataset published in Albers projection.Table: Land tenure of Australia Level 3 tenure descriptions and meaningsCode*DescriptionMeaning100FreeholdThe highest form of land ownership. Land title is held in perpetuity. Includes land held by Indigenous land trusts.211Freeholding leaseCrown leasehold land where a lessee is in the process of transferring lease to freehold with instalments.212Pastoral perpetual leaseCrown leasehold land granted in perpetuity to an entity for primarily pastoral purposes.213Other perpetual leaseCrown leasehold land granted in perpetuity to an entity for non-pastoral or non-specified purposes.214Pastoral term leaseCrown leasehold land granted for a specified term of years to an entity for primarily pastoral purposes.215Other term leaseCrown leasehold land granted to an entity for a specified term of years for non-pastoral or non-specified purposes.216Other leaseCrown leasehold land where the purpose is specified as other or undefined.221Nature conservation reserveCrown land set aside for conservation purposes. Includes heritage reserves where specified.222Multiple-use public forestCrown land set aside for multiple-use forest values such as wood harvesting, recreation, and environmental protection, includes state forests and timber reserves.223Other Crown purposesCrown land set aside for all other purposes including water, infrastructure, institutional, defence and other undefined reserves; or lands vested to, acquired, or purchased by the Crown or its authorised entities to deliver essential services.230Other Crown landCrown land unallocated to a purpose or purposes.*The first three digits of the Service Pixel Value reflect this Level 3 code.Data DictionaryField NameField DescriptionData TypeOID *Internal feature number that uniquely identifies each row.OIDCount *Count of the number of raster cells in each class of Value.Integer countValue (Service Pixel Value) *Tenure code in the target year. First digit represents Level 1, second digit Level 2, third digit Level 3 and the fourth digit Level 4 of the land tenure hierarchical classification. Refer to Table A1.5 of the dataset metadata. aInteger, range: 1001 to 2302Label *Label reflecting the description of the Level 3 land tenure classes in the target period.TextL1NLevel 1 tenure classification code. Refer to Table A1.2 of the dataset metadata. aInteger, range: 1 to 2L1_DESCDescription of the Level 1 land tenure classes in the target period. Refer to Table A1.2 of the dataset metadata.TextL2NLevel 2 tenure classification code. Refer to Table A1.3 of the dataset metadata. aInteger, range: 10 to 23L2_DESCDescription of the Level 2 land tenure classes in the target period. Refer to Table A1.3 of the dataset metadata.TextL3NLevel 3 tenure classification code. Refer to Table A1.4 of the dataset metadata. aInteger, range: 100 to 230L3_DESCDescription of the Level 3 land tenure classes in the target period. Refer to Table A1.4 of the dataset metadata.TextL4N *Level 4 tenure classification code. Refer to Table A1.5 of the dataset metadata. aInteger, range: 1001 to 2302L4_DESC *Description of the Level 4 land tenure classes in the target period. Refer to Table A1.5 of the dataset metadata.TextRed *Red RGB value for classification colours.IntegerGreen *Green RGB value for classification colours.IntegerBlue Blue RGB value for classification colours.Integera The first two integer are -1 for Offshore and 0 for No data/unresolved tenure. denotes a hidden fieldContactAustralian Government Department of Agriculture, Fisheries and Forestry – Australian Bureau of Agricultural and Resource Economics and Sciences (ABARES), land_management@aff.gov.au.

AbstractThis layer shows where land is owned, leased, reserved or unallocated to a defined purpose in Australia for 2020–21.Tenure information in this dataset is classified according to a four-tiered hierarchical structure, ordered in increasing level of detail. Level 1 distinguishes between the basic land title types of Freehold and Crown land. Level 2 splits Crown land into leasehold, dedicated or reserved for Crown purposes and other Crown land. Level 3 further distinguishes Crown land, defining leasehold type or Crown purposes type based on term and purpose. Leasehold types are split into Freeholding lease, Pastoral perpetual lease, Other perpetual lease, Pastoral term lease, Other term lease, and Other lease. Crown purposes are split into Nature conservation reserve, Multiple-use public forest and Other Crown purposes. Level 4 distinguishes land with an Indigenous land grant, either Crown land held on behalf of, or freehold land owned by, traditional owner groups. Level 4 does not include native title which applies alongside tenure.While the underlying dataset reflects the most detailed tenure classification (Level 4), the layer’s symbology is simplified to Level 3. It separates tenure into Freehold and Crown land specifying types of leasehold (6 classes) and Crown purposes (3 classes) plus Other Crown land. This layer was used in the National Land Account, Experimental Estimates 2021 released by the Australian Bureau of Statistics. The data was produced by the Australian Bureau of Agricultural and Resource Economics and Sciences (ABARES) within the Australian Government Department of Agriculture, Fisheries and Forestry as part of the Australian Collaborative Land Use and Management Program (ACLUMP). For more information see the dataset metadata at DOI: 10.25814/89rx-zs30.CurrencyDate modified: 31 October 2024Publication Date: 31 October 2024Modification frequency: As neededData ExtentCoordinate reference: WGS84 / Mercator Auxiliary SphereSpatial ExtentThe following spatial extent is provided in the Geocentric Datum of Australia (GDA94).North: -9.995South: -44.005East: 154.004West: 112.505Source InformationData, Metadata, Maps and Interactive views are available from Land tenure of Australia 2010–11 to 2020–21Land tenure of Australia 2010–11 to 2020–21 – Descriptive metadataThe data was obtained from the 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 StatementThe data was constructed by combining jurisdictional land title information from digital cadastral databases or their equivalents with Indigenous land grant instruments areas. For more information see the dataset metadata.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 ArcGIS Pro, and the raster dataset was re-projected from 1994 Australia Albers to WGS 1984 Web Mercator (Auxiliary Sphere). Additionally, records that have a -1 value have been removed to improve web mapping performance. This Web Mapping Service is for display purposes only. It is in Web Mercator projection and not suitable for deriving area statistics. For any analyses use the original dataset published in Albers projection.Table: Land tenure of Australia Level 3 tenure descriptions and meaningsCode*DescriptionMeaning100FreeholdThe highest form of land ownership. Land title is held in perpetuity. Includes land held by Indigenous land trusts.211Freeholding leaseCrown leasehold land where a lessee is in the process of transferring lease to freehold with instalments.212Pastoral perpetual leaseCrown leasehold land granted in perpetuity to an entity for primarily pastoral purposes.213Other perpetual leaseCrown leasehold land granted in perpetuity to an entity for non-pastoral or non-specified purposes.214Pastoral term leaseCrown leasehold land granted for a specified term of years to an entity for primarily pastoral purposes.215Other term leaseCrown leasehold land granted to an entity for a specified term of years for non-pastoral or non-specified purposes.216Other leaseCrown leasehold land where the purpose is specified as other or undefined.221Nature conservation reserveCrown land set aside for conservation purposes. Includes heritage reserves where specified.222Multiple-use public forestCrown land set aside for multiple-use forest values such as wood harvesting, recreation, and environmental protection, includes state forests and timber reserves.223Other Crown purposesCrown land set aside for all other purposes including water, infrastructure, institutional, defence and other undefined reserves; or lands vested to, acquired, or purchased by the Crown or its authorised entities to deliver essential services.230Other Crown landCrown land unallocated to a purpose or purposes.*The first three digits of the Service Pixel Value reflect this Level 3 code.Data DictionaryField NameField DescriptionData TypeOID *Internal feature numbers that uniquely identifies each row.OIDCount *Count of the number of raster cells in each class of Value.Integer countValue (Service Pixel Value) *Tenure code in the target year. First digit represents Level 1, second digit Level 2, third digit Level 3 and the fourth digit Level 4 of the land tenure hierarchical classification. Refer to Table A1.5 of the dataset metadata. aInteger, range: 1001 to 2302Label *Label reflecting the description of the Level 3 land tenure classes in the target period.TextL1NLevel 1 tenure classification code. Refer to Table A1.2 of the dataset metadata.aInteger, range: 1 to 2L1_DESCDescription of the Level 1 land tenure classes in the target period. Refer to Table A1.2 of the dataset metadata.TextL2NLevel 2 tenure classification code. Refer to Table A1.3. of the dataset metadata. aInteger, range: 10 to 23L2_DESCDescription of the Level 2 land tenure classes in the target period. Refer to Table A1.3 of the dataset metadata.TextL3NLevel 3 tenure classification code. Refer to Table A1.4 of the dataset metadata. aInteger, range: 100 to 230L3_DESCDescription of the Level 3 land tenure classes in the target period. Refer to Table A1.4 of the dataset metadata.TextL4N *Level 4 tenure classification code. Refer to Table A1.5 of the dataset metadata. aInteger, range: 1001 to 2302L4_DESC *Description of the Level 4 land tenure classes in the target period. Refer to Table A1.5 of the dataset metadata.TextRed *Red RGB value for classification colours.IntegerGreen *Green RGB value of classification colours.IntegerBlue Blue RGB value of classification colours.Integera The first two integers are -1 for Offshore and 0 for No data/unresolved tenure. Denotes a hidden field.ContactAustralian Government Department of Agriculture, Fisheries and Forestry – Australian Bureau of Agricultural and Resource Economics and Sciences (ABARES), land_management@aff.gov.au.

The accompanying dataset includes Omnibus cultural and film grant funding for cultural tourism activities that support growth in the arts and film and build a positive image for the region. Omnibus awards are dedicated to the recipient by a Suffolk County Legislative member and funds are generated by the Hotel Motel Tax.

This dataset is the Wildfire Hazard Potential (WHP) for the United States. It is part of the Wildfire Risk to Communities: Spatial datasets of landscape-wide wildfire risk components for the United States. WHP is an index that quantifies the relative potential for wildfire that may be difficult to control, used as a measure to help prioritize where fuel treatments may be needed. See Dillon et al. (2015) for a full description, or https://www.firelab.org/project/wildfire-hazard-potential for additional information and companion data for the U.S. at 270-m pixel resolution. Vegetation and wildland fuels data from LANDFIRE 2014 (version 1.4.0) form the foundation for the Wildfire Risk to Communities data. As such, the data presented here reflect landscape conditions as of the end of 2014. National wildfire hazard datasets of annual burn probability and fire intensity were generated from the LANDFIRE 2014 data by the USDA Forest Service, Rocky Mountain Research Station (Short et al. 2020) using the large fire simulation system (FSim). These national datasets produced with FSim have a relatively coarse cell size of 270 meters (m). To bring these datasets down to a finer resolution more useful for assessing hazard and risk to communities, we upsampled them to the native 30 m resolution of the LANDFIRE fuel and vegetation data. In this upsampling process, we also spread values of modeled burn probability and intensity into developed areas represented in LANDFIRE fuels data as non-burnable. Additional methodology documentation is provided with the data publication download. Metadata and Downloads.Note: Pixel values in this image service have been altered from the original raster dataset due to data requirements in web services. The service is intended primarily for data visualization. Relative values and spatial patterns have been largely preserved in the service, but users are encouraged to download the source data for quantitative analysis.Dillon, Gregory K.; Menakis, James; Fay, Frank. 2015. Wildland fire potential: A tool for assessing wildfire risk and fuels management needs. In: Keane, Robert E.; Jolly, Matt; Parsons, Russell; Riley, Karin. Proceedings of the large wildland fires conference; May 19-23, 2014; Missoula, MT. Proc. RMRS-P-73. Fort Collins, CO: U.S. Department of Agriculture, Forest Service, Rocky Mountain Research Station. p. 60-76. https://www.fs.usda.gov/treesearch/pubs/49429LayersRMRS_WRC_WildfireHazardPotentialTerms of UseThese data were collected using funding from the U.S. Government and can be used without additional permissions or fees. If you use these data in a publication, presentation, or other research product please use the following citation: Scott, Joe H.; Gilbertson-Day, Julie W.; Moran, Christopher; Dillon, Gregory K.; Short, Karen C.; Vogler, Kevin C. 2020. Wildfire Risk to Communities: Spatial datasets of landscape-wide wildfire risk components for the United States. Fort Collins, CO: Forest Service Research Data Archive. More information. The data presented here are the product of modeling, and as such carry an inherent degree of error and uncertainty. Users are strongly encouraged to read and fully comprehend the metadata and other available documentation prior to data use. No warranty is made by the Originator as to the accuracy, reliability, or completeness of these data for individual use or aggregate use with other data, or for purposes not intended by the Originator. These datasets are intended to provide nationally-consistent information for the purpose of comparing relative wildfire risk among communities nationally or within a state or county. Data included here are not intended to replace locally-calibrated state, regional, or local risk assessments where they exist. It is the responsibility of the user to be familiar with the value, assumptions, and limitations of these national data publications. Managers and planners must evaluate these data according to the scale and requirements specific to their needs. Spatial information may not meet National Map Accuracy Standards. This information may be updated without notification.As a work of the United States Government, these data are within the public domain of the United States. Additionally, The U.S. Forest Service waives copyright and related rights in the work worldwide through the CC0 1.0 Universal Public Domain Dedication (which can be found at this link).