A discrete Aboriginal community is a geographic location, bounded by physical or cadastral (legal) boundaries, and inhabited or intended to be inhabited predominantly (i.e. 50% or more of usual residents) by Aboriginal or Torres Strait Islander peoples, with housing or infrastructure that is managed on a community basis either by them or an Indigenous Housing Organisation. This dataset represents a snapshot of Aboriginal communities as of 2017 and further updates to this dataset are not planned at this time.

This dataset details the Dedicated Indigenous Protected Areas (IPA) across Australia through the implementation of the Indigenous Protected Areas Programme. These boundaries are not legally binding.An Indigenous Protected Area (IPA) is an area of Indigenous-owned land or sea where traditional Indigenous owners have entered into an agreement with the Australian Government to promote biodiversity and cultural resource conservation-making up over half of Australia's National Reserve System.Further information can be found at the website below.https://www.dcceew.gov.au/environment/land/indigenous-protected-areashttps://www.niaa.gov.au/indigenous-affairs/environment/indigenous-protected-areas-ipas

The Natural Resource Management (NRM) Regions dataset has been prepared for the purpose of reporting on the Australian Government's Caring for our Country investments. The dataset is designed to cover all Australian territory where Caring for our Country projects might take place and includes major islands; external territories; state and coastal waters; in addition to the 56 NRM regions. This version of the data is an update and formalisation of the 'interim 2010' dataset (which was an interim update of the NRM Regions 2009 dataset- publicly released in Feb 09).Whilst the boundaries of NRM Regions are defined by legislation in some states and territories this dataset should not be used to represent legal boundaries in any way. It is an administrative dataset developed for the purpose of reporting and public information. It should be noted that from time to time the states and/or territories may revise their regional boundaries in accordance with local needs and therefore alterations to either the attribution or boundaries of the data may occur in the future.Caring for our Country commenced on 1 July 2008. It integrates delivery of the Australian Government's previous natural resource management programs, including the Natural Heritage Trust, the National Landcare Program, the Environmental Stewardship Program and the Working on Country Indigenous land and sea ranger program.Credit:The NRM region boundaries are primarily based on data and information supplied by the relevant State and Territory government agencies. Geoscience Australia's Australian Maritime Boundaries (2006) and Geodata Coast 100K (2004) data was also used in the development of this data.

This product is the Recreational Fishing Regions of Western Australia dataset. This datatset outlines recreational fishing regions used for monitoring, assessments and management of Western Australia’s recreational fisheries and aquatic resources in accordance with ecosystem-based fisheries management and Western Australia Fisheries Resource Harvest Strategies.

Recommended boundary for identification and planning of Aboriginal settlements.

Coarse spatial boundaries of buildings in Western Australia. This product was created with Deep Learning image segmentation of satellite data (Vivid 2.0), with further filtering of each feature with a Deep Learning binary classifier. The imagery that this data was derived from was mostly captured from 2018 to 2019. This updated dataset is a result of a collaboration between the Department of Primary Industries and Regional Development and Landgate.

The Aboriginal Sites Decision Support Tool ASDST extends the Aboriginal Heritage Information Management System (AHIMS) by illustrating the potential distribution of site features recorded in AHIMS. ASDST was first developed in 2012 by the Office of Environment and Heritage (OEH) to support landscape planning of Aboriginal Heritage. The Tool produces a suite of raster GIS modelled outputs and is held in Esri GRID format. The first suite was published in 2016 as Version 7 at 100m resolution and in Lamberts Conic Conformal Projection (LCC). The current Version 7.5 was produced by the now Department of Planning, Industry and Environment (DPIE) in 2020 at 50m resolution in Geographic Coordinate System (GCS). Each layer covers the extent of NSW. The suite of layers includes separate predictive layers for different Aboriginal site feature types. The feature codes used in layer naming conventions are: ALL = model for all feature types combined AFT = predicted likelihood for stone artefacts ART = predicted likelihood for rock art BUR = predicted likelihood of burials ETM = predicted likelihood of western mounds and shell GDG = predicted likelihood of grinding grooves HTH = predicted likelihood of hearths SHL = predicted likelihood of coastal middens STQ = predicted likelihood of stone quarries and TRE = predicted likelihood of scarred trees. The feature models have been derived in two forms: The first form (“p1750XXX” where XXX denotes three letter feature code) predicts likelihood of feature distribution prior to European colonisation of NSW. The second form (“curr_XXX” where XXX denotes three letter feature code) predicts feature likelihood in the current landscape. For both sets of feature likelihood layers, cell values range from 0 – 1000, where 0 indicates low likelihood and 1000 is high likelihood. Please note the scale is likelihood and NOT probability. Likelihood is defined as a relative measure indicating the likelihood that a grid cell may contain the feature of interest relative to all other cells in the layer. Additionally, there are other derived products as part of the suite. These are: drvd_imp = which is a model of accumulated impacts, derived by summing the difference between the pre colonisation and current version of all feature models. Cell values range from 0 – 1000, where 1000 is a high accumulated impact. drvd_rel = which is a model of the reliability of predictions based on an environmental distance algorithm that looks at recorded site density across the variables used in the models. drvd_srv = which is a survey priority map, which considers model reliability (data gap), current likelihood and accumulated impact. Cell values range from 0 – 1000 where 1000 indicates highest survey priority relative to the rest of the layer. For more details see the technical reference on the ASDST website. NB. Old layers with a suffix of “_v7” indicate they are part of ASDST Version 7 produced in 2016. The current models (Version 7.5) do not contain a version number in their name and will continue to be named generically in future versions for seamless access. Updates applied to ASDST version 7.5 For all ASDST 7.5 data sets, the resolution was increased from a 100m cell to a 50m cell. All data sets were clipped and cleaned to a refined coastal mask. Cell gaps in the mask were filled using a Nibble algorithm. The pre-settlement data sets were derived by resampling the version 7 pre-settlement data sets to 50m cell size. The present-day data sets were derived from the version 7.5 pre-settlement layers and 2017-18 land-use mapping and applying the same version 7 parameters for estimating the preservation of each feature type on each land-use. For version 7.5, the model reliability data set was derived by resampling the version 7 data set to 50m cell size. Accumulated impact and survey priority version 7.5 data sets were derived by applying the version 7 processing algorithm but substituting the version 7.5 pre-settlement and

The Aboriginal Sites Decision Support Tool ASDST extends the Aboriginal Heritage Information Management System (AHIMS) by illustrating the potential distribution of site features recorded in AHIMS. ASDST was first developed in 2012 by the Office of Environment and Heritage (OEH) to support landscape planning of Aboriginal Heritage. The Tool produces a suite of raster GIS modelled outputs and is held in Esri GRID format. The first suite was published in 2016 as Version 7 at 100m resolution and in Lamberts Conic Conformal Projection (LCC). The current Version 7.5 was produced by the now Department of Planning, Industry and Environment (DPIE) in 2020 at 50m resolution in Geographic Coordinate System (GCS). Each layer covers the extent of NSW. The suite of layers includes separate predictive layers for different Aboriginal site feature types. The feature codes used in layer naming conventions are: ALL = model for all feature types combined AFT = predicted likelihood for stone artefacts ART = predicted likelihood for rock art BUR = predicted likelihood of burials ETM = predicted likelihood of western mounds and shell GDG = predicted likelihood of grinding grooves HTH = predicted likelihood of hearths SHL = predicted likelihood of coastal middens STQ = predicted likelihood of stone quarries and TRE = predicted likelihood of scarred trees. The feature models have been derived in two forms: The first form (“p1750XXX” where XXX denotes three letter feature code) predicts likelihood of feature distribution prior to European colonisation of NSW. The second form (“curr_XXX” where XXX denotes three letter feature code) predicts feature likelihood in the current landscape. For both sets of feature likelihood layers, cell values range from 0 – 1000, where 0 indicates low likelihood and 1000 is high likelihood. Please note the scale is likelihood and NOT probability. Likelihood is defined as a relative measure indicating the likelihood that a grid cell may contain the feature of interest relative to all other cells in the layer. Additionally, there are other derived products as part of the suite. These are: drvd_imp = which is a model of accumulated impacts, derived by summing the difference between the pre colonisation and current version of all feature models. Cell values range from 0 – 1000, where 1000 is a high accumulated impact. drvd_rel = which is a model of the reliability of predictions based on an environmental distance algorithm that looks at recorded site density across the variables used in the models. drvd_srv = which is a survey priority map, which considers model reliability (data gap), current likelihood and accumulated impact. Cell values range from 0 – 1000 where 1000 indicates highest survey priority relative to the rest of the layer. For more details see the technical reference on the ASDST website. NB. Old layers with a suffix of “_v7” indicate they are part of ASDST Version 7 produced in 2016. The current models (Version 7.5) do not contain a version number in their name and will continue to be named generically in future versions for seamless access. Updates applied to ASDST version 7.5 For all ASDST 7.5 data sets, the resolution was increased from a 100m cell to a 50m cell. All data sets were clipped and cleaned to a refined coastal mask. Cell gaps in the mask were filled using a Nibble algorithm. The pre-settlement data sets were derived by resampling the version 7 pre-settlement data sets to 50m cell size. The present-day data sets were derived from the version 7.5 pre-settlement layers and 2017-18 land-use mapping and applying the same version 7 parameters for estimating the preservation of each feature type on each land-use. For version 7.5, the model reliability data set was derived by resampling the version 7 data set to 50m cell size. Accumulated impact and survey priority version 7.5 data sets were derived by applying the version 7 processing algorithm but substituting the version 7.5 pre-settlement and