Australia GIS data
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ArcGIS Image ServiceTime Interval: Full Climatology With Hourly Timesteps Version: 1 Spatial Resolution: 3 km Time Extent: 2015 to 2025 (With 24 Hours) Projection: GCS WGS84 Extent: Regional | Australia Other Formats: OGC WMS, OGC WCS, REST CollectionThis collection contains Australian CTH detection climatological diurnal statistics averaged over 2015-2025 Satellite Mapping and Analysis of Severe Hailstorms (SMASH) ProjectThis Hailstorm research project seeks to address knowledge gaps in the severe hail climatology using regional to global scale satellite observations and provides mechanisms to explore related datasets. For questions/issues please contact: kristopher.m.bedka@nasa.gov
ArcGIS Image ServiceTime Interval: Full Climatology With Hourly Timesteps Version: 1 Spatial Resolution: 3 km Time Extent: 2015 to 2025 (With 24 Hours) Projection: GCS WGS84 Extent: Regional | Australia Other Formats: OGC WMS, OGC WCS, REST CollectionThis collection contains Australian Anvil Cloud Days per Year detection climatological diurnal statistics averaged over 2015-2025 Satellite Mapping and Analysis of Severe Hailstorms (SMASH) ProjectThis Hailstorm research project seeks to address knowledge gaps in the severe hail climatology using regional to global scale satellite observations and provides mechanisms to explore related datasets. For questions/issues please contact: kristopher.m.bedka@nasa.gov
ArcGIS Image ServiceTime Interval: Seasonal Climatology With Hourly Timesteps Version: 1 Spatial Resolution: 3 km Time Extent: 2015 to 2025 (Dec-Feb, Mar-May, Jun-Aug, Sep-Nov) (With 24 Hours) Projection: GCS WGS84 Extent: Regional | Australia Other Formats: OGC WMS, OGC WCS, REST CollectionThis collection contains Australian Anvil Cloud Days per Year detection climatological diurnal statistics averaged over: Dec-Feb, Mar-May, Jun-Aug, Sep-Nov 2016-2022 Satellite Mapping and Analysis of Severe Hailstorms (SMASH) ProjectThis Hailstorm research project seeks to address knowledge gaps in the severe hail climatology using regional to global scale satellite observations and provides mechanisms to explore related datasets. For questions/issues please contact: kristopher.m.bedka@nasa.gov
ArcGIS Image ServiceTime Interval: Full Climatology Version: 1 Spatial Resolution: 3 km Time Extent: 2015 to 2025 Projection: GCS WGS84 Extent: Regional | Australia Other Formats: OGC WMS, OGC WCS, REST CollectionThis collection contains Australian IR detection climatological statistics averaged over 2015-2025 Satellite Mapping and Analysis of Severe Hailstorms (SMASH) ProjectThis Hailstorm research project seeks to address knowledge gaps in the severe hail climatology using regional to global scale satellite observations and provides mechanisms to explore related datasets. For questions/issues please contact: kristopher.m.bedka@nasa.gov
uav imagery by be3be10, acquired 2026-04-12 to 2026-04-12, 3.5 cm per pixel, published on OpenAerialMap.
This dataset presents a range of data items sourced from a wide variety of collections, both Australian Bureau of Statistics (ABS) and non-ABS. The data is derived from the 22 November 2023 release of Data by region (DBR) . Individual data items present the latest reference year data available on DBR. This layer presents data by Local Government Areas (LGA), 2021. The Economy and industry theme is based on groupings of data within Data by region (DBR). Concepts, sources and methods for each dataset can be found on the Data by region methodology page. The Economy and industry theme includes: Agricultural commodities Building approvals Counts of Australian businesses, including entries and exits Gross value of agricultural production Industry of employment (Census) Residential property prices Personal insolvencies Registered motor vehicles When analysing these statistics, care needs to be taken as time periods, definitions, methodologies, scope, and coverage can differ across collections. Some data values have been randomly adjusted or suppressed to avoid the release of confidential data. In some cases small cells have been randomly altered to zero. Care should be taken when interpreting cells with small numbers or zeros. Made possible by the Digital Atlas of Australia The Digital Atlas of Australia is an Australian Government initiative being led by Geoscience Australia. It brings together trusted datasets from across government in an interactive, secure, and easy-to-use geospatial platform. The Australian Bureau of Statistics (ABS) is working in partnership with Geoscience Australia to establish a set of web services to make ABS data available in the Digital Atlas. Contact the Australian Bureau of Statistics (ABS) If you have questions, feedback or would like to receive updates about this web service, please email geography@abs.gov.au. For information about how the ABS manages any personal information you provide view the ABS privacy policy. Data and geography references Source data publication: Data by region (DBR) Geographic boundary information: Australian Statistical Geography Standard (ASGS) Edition 3 Further information: Data by region methodology, reference period 2011-23 Source: Australian Bureau of Statistics (ABS)
ArcGIS Image ServiceTime Interval: Annual Version: 1 Spatial Resolution: 3 km Time Extent: 2015 to 2025 Projection: GCS WGS84 Extent: Regional | Australia Other Formats: OGC WMS, OGC WCS, REST CollectionThis service contains Australian OT detection climatological statistics averaged Annually. Satellite Mapping and Analysis of Severe Hailstorms (SMASH) ProjectThis Hailstorm research project seeks to address knowledge gaps in the severe hail climatology using regional to global scale satellite observations and provides mechanisms to explore related datasets. For questions/issues please contact: kristopher.m.bedka@nasa.gov
ArcGIS Image ServiceTime Interval: Annual With Hourly Timesteps Version: 1 Spatial Resolution: 3 km Time Extent: 2015 to 2025 (With 24 Hours) Projection: GCS WGS84 Extent: Regional | Australia Other Formats: OGC WMS, OGC WCS, REST CollectionThis collection contains Australian Anvil Cloud Days per Year detection climatological statistics averaged Annually with Hourly Timesteps Satellite Mapping and Analysis of Severe Hailstorms (SMASH) ProjectThis Hailstorm research project seeks to address knowledge gaps in the severe hail climatology using regional to global scale satellite observations and provides mechanisms to explore related datasets. For questions/issues please contact: kristopher.m.bedka@nasa.gov
ArcGIS Image ServiceTime Interval: Monthly With Hourly Timesteps Version: 1 Spatial Resolution: 3 km Time Extent: 2015-07-15 to 2025-06-15 Projection: GCS WGS84 Extent: Regional | Australia Other Formats: OGC WMS, OGC WCS, REST CollectionThis collection provides monthly with hourly timesteps gridded overshooting cloud top detection, specifically the Overshooting Top Days/Month over Australia. Satellite Mapping and Analysis of Severe Hailstorms (SMASH) ProjectThis Hailstorm research project seeks to address knowledge gaps in the severe hail climatology using regional to global scale satellite observations and provides mechanisms to explore related datasets. For questions/issues please contact: kristopher.m.bedka@nasa.gov
uav imagery by DCE, acquired 2025-08-15 to 2025-08-16, 4.6 cm per pixel, published on OpenAerialMap.
uav imagery by PRODRONE WORX, acquired 2026-03-15 to 2026-03-15, 1.4 cm per pixel, published on OpenAerialMap.
ArcGIS Image ServiceTime Interval: Full Climatology With Hourly Timesteps Version: 1 Spatial Resolution: 3 km Time Extent: 2015 to 2025 (With 24 Hours) Projection: GCS WGS84 Extent: Regional | Australia Other Formats: OGC WMS, OGC WCS, REST CollectionThis collection contains Australian OT detection climatological diurnal statistics averaged over 2015-2025 Satellite Mapping and Analysis of Severe Hailstorms (SMASH) ProjectThis Hailstorm research project seeks to address knowledge gaps in the severe hail climatology using regional to global scale satellite observations and provides mechanisms to explore related datasets. For questions/issues please contact: kristopher.m.bedka@nasa.gov
ArcGIS Image ServiceTime Interval: Seasonal Climatology With Hourly Timesteps Version: 1 Spatial Resolution: 3 km Time Extent: 2015 to 2025 (Dec-Feb, Mar-May, Jun-Aug, Sep-Nov) (With 24 Hours) Projection: GCS WGS84 Extent: Regional | Australia Other Formats: OGC WMS, OGC WCS, REST CollectionThis collection contains Australian OT detection climatological diurnal statistics averaged over: Dec-Feb, Mar-May, Jun-Aug, Sep-Nov 2015-2025 Satellite Mapping and Analysis of Severe Hailstorms (SMASH) ProjectThis Hailstorm research project seeks to address knowledge gaps in the severe hail climatology using regional to global scale satellite observations and provides mechanisms to explore related datasets. For questions/issues please contact: kristopher.m.bedka@nasa.gov
uav imagery by be3be10, acquired 2026-04-12 to 2026-04-12, 6.0 cm per pixel, published on OpenAerialMap.
uav imagery by PRODRONE WORX, acquired 2026-04-17 to 2026-04-18, 1.9 cm per pixel, published on OpenAerialMap.
ArcGIS Image ServiceTime Interval: Monthly Version: 1 Spatial Resolution: 3 km Time Extent: 2015-07-15 to 2025-06-15 Projection: GCS WGS84 Extent: Regional | Australia Other Formats: OGC WMS, OGC WCS, REST CollectionThis service provides monthly gridded overshooting cloud top detection, specifically the Anvil Cloud Days/Month over Australia. Satellite Mapping and Analysis of Severe Hailstorms (SMASH) ProjectThis Hailstorm research project seeks to address knowledge gaps in the severe hail climatology using regional to global scale satellite observations and provides mechanisms to explore related datasets. For questions/issues please contact: kristopher.m.bedka@nasa.gov
aircraft imagery by Luke, acquired 2026-07-25 to 2026-07-26, 5.0 cm per pixel, published on OpenAerialMap.
This product has been superseded by the 2026 Vegetation Map. The ACT Vegetation Map 2023 classifies native and derived vegetation across the ACT at 1:10,000 scale into 64 plant communities. Vegetation communities are geographical units with similar association of plant species. The product also includes canopy cover and height variables based on 2015 ACT LiDAR data. Vegetation maps are important tools for characterising the landscape, informing policy and providing information for land and habitat management plans, including to help identify threats and risks to biodiversity and help prioritise protection of important ecological values in our landscape. This 2023 map is an update of the ACT Vegetation Map 2018. Updates have been made to the urban fringe only where development has occurred, or knowledge has increased due to field inspection. This product will enable evidence-based decision-making at a broad regional, local and property planning scale in the ACT. It will also formulate a new baseline for future change detection in the landscape. Method: In the ACT Vegetation Map, native and derived vegetation across the entire ACT was classified into 64 plant communities using the classification described by Armstrong et al 2013, in addition to three newly described ACT specific communities (Baines et al 2013). Mapping was completed using aerial imagery and stereo pair interpretation (2012-2015), extensive field work, collation of consultant reports and supplemental structural and canopy height datasets extracted from the 2015 ACT LiDAR capture at 1-5m grid resolution (van Dijk et al 2017 - in draft). The work expands on the vegetation mapping completed for the Kowen, Majura and Jerrabomberra districts of the ACT (Baines et al 2013). The 2023 update used visual desktop inspection and manual vectorization of 2023 The product includes the following attributes : umcID – Upper Murrumbidgee Catchment vegetation ID (unique vegetation code)(after Armstrong et al 2013) vegCommunity – vegetation community name (after Armstrong et al 2013 and Baines et al 2013) tecACT - listing name of the ACT threatened ecological community (may require field inspection to verify) tecEPBC - listing name of the EPBC threatened ecological community (may require field inspection to verify) tecID - ID of ACT threatened ecological community actConservationStatus - listing status of the vegetation community under the Nature Conservation Act epbcConservationStatus - listing status of the vegetation community under the EPBC Act pctCode - ACT plant community type code treesp1-3 – dominant tree species shrubsp1-3 – dominant shrub species groundsp1-3 – dominant ground cover species canopyCover – canopy cover % (based on 1m 2020 LiDAR canopy cover model) height_mean canopy height (>3m) (based on 1m 2020 LiDAR canopy height model) underCover – understory/shrub cover % (1-3m) (based on 1m 2020 LiDAR shrub model) structure – overall vegetation community structure – e.g. woodland, forest, grassland formation – Keith Formation - broad classification of native vegetation type in NSW and ACT. Formation can be further divided into Keith Class (Keith 2004) class – Keith Class- vegetation class (Keith 2004). hectares - area of polygon unit in hectares. lastVegCommunity - community as it was last mapped (ACT Veg Map 2018) landscape - upland or lowland grassyStructure - whether the community is associated with a grass woodland, derived (other) or grassland community in its reference state e.g. secondary grassland associated with box gum woodland, exotic grassland that occurs within the original temperate grasslands. This product should be used in conjunction with ACT Soil Landscapes, Hydrogeology and Land hazard mapping available on ACTMapi, geological mapping provided by Geoscience Australia, and ACT derived LiDAR products including digital elevation model (DEM), slope and aspect (available CCBY 4.0). Updates: The product will be updated as required when new information is available to improve accuracy of the product and to reflect changes and disturbance to vegetation, especially in the urban environment. Please see ACT Vegetation Map 2023+ for updates to urban expansion. Updates planned every 1-2 years. Fit for purpose: Mapped at 1:10,000. This scale is for use at scales ranging from broad regional planning to local planning and property planning. Please note the species listed as dominants can be out of date or not ground checked, thus may require ground truthing prior to use. COORDINATE SYSTEM: GDA_2020_MGA_Zone_55 References: Armstrong et al (2013). Plant communities of the upper Murrumbidgee catchment in New South Wales and the Australian Capital Territory. Cunninghamia13(1): 125-265 (2013). Baines et al (2013). The vegetation of the Kowen, Majura and Jerrabomberra Districts of the Australian Capital Territory. Technical Report 28 prepared for Conservation Planning and Research, ACT Government. van Dijk (2017). Landscape Observatory. TERN & Fenner School of Environment & Society, Australian National University 2017. Keith (2004). Ocean Shores to Desert Dunes. The Native Vegetation of the New South Wales and the ACT. NSW Department of Environment and Conservation.
ArcGIS Image ServiceTime Interval: Seasonal Climatology With Hourly Timesteps Version: 1 Spatial Resolution: 3 km Time Extent: 2015 to 2025 (Dec-Feb, Mar-May, Jun-Aug, Sep-Nov) (With 24 Hours) Projection: GCS WGS84 Extent: Regional | Australia Other Formats: OGC WMS, OGC WCS, REST CollectionThis collection contains Australian IR detection climatological diurnal statistics averaged over: Dec-Feb, Mar-May, Jun-Aug, Sep-Nov 2015-2025 Satellite Mapping and Analysis of Severe Hailstorms (SMASH) ProjectThis Hailstorm research project seeks to address knowledge gaps in the severe hail climatology using regional to global scale satellite observations and provides mechanisms to explore related datasets. For questions/issues please contact: kristopher.m.bedka@nasa.gov
ArcGIS Image ServiceTime Interval: Monthly With Hourly Timesteps Version: 1 Spatial Resolution: 3 km Time Extent: 2015-07-15 to 2025-06-15 Projection: GCS WGS84 Extent: Regional | Australia Other Formats: OGC WMS, OGC WCS, REST CollectionThis collection provides monthly with hourly timesteps gridded overshooting cloud top detection, specifically the Anvil Cloud Days/Month over Australia. Satellite Mapping and Analysis of Severe Hailstorms (SMASH) ProjectThis Hailstorm research project seeks to address knowledge gaps in the severe hail climatology using regional to global scale satellite observations and provides mechanisms to explore related datasets. For questions/issues please contact: kristopher.m.bedka@nasa.gov
ArcGIS Image ServiceTime Interval: Seasonal Climatology Version: 1 Spatial Resolution: 3 km Time Extent: 2015 to 2025 (Dec-Feb, Mar-May, Jun-Aug, Sep-Nov) Projection: GCS WGS84 Extent: Regional | Australia Other Formats: OGC WMS, OGC WCS, REST CollectionThis collection contains Australian OT detection climatological statistics averaged over: Dec-Feb, Mar-May, Jun-Aug, Sep-Nov 2015-2025 Satellite Mapping and Analysis of Severe Hailstorms (SMASH) ProjectThis Hailstorm research project seeks to address knowledge gaps in the severe hail climatology using regional to global scale satellite observations and provides mechanisms to explore related datasets. For questions/issues please contact: kristopher.m.bedka@nasa.gov
ArcGIS Image ServiceTime Interval: Monthly Version: 1 Spatial Resolution: 3 km Time Extent: 2015-07-15 to 2025-06-15 Projection: GCS WGS84 Extent: Regional | Australia Other Formats: OGC WMS, OGC WCS, REST CollectionThis service provides monthly gridded overshooting cloud top detection, specifically the Overshooting Top Days/Month over Australia. Satellite Mapping and Analysis of Severe Hailstorms (SMASH) ProjectThis Hailstorm research project seeks to address knowledge gaps in the severe hail climatology using regional to global scale satellite observations and provides mechanisms to explore related datasets. For questions/issues please contact: kristopher.m.bedka@nasa.gov
aircraft imagery by Roy Hill Survey, acquired 2025-06-12 to 2025-06-12, 47.7 cm per pixel, published on OpenAerialMap.
uav imagery by DCE, acquired 2025-07-09 to 2025-07-09, 3.9 cm per pixel, published on OpenAerialMap.
uav imagery by DCE, acquired 2025-09-29 to 2025-09-29, 4.8 cm per pixel, published on OpenAerialMap.
uav imagery by WebODM, acquired 2026-02-27 to 2026-02-27, 3.6 cm per pixel, published on OpenAerialMap.
uav imagery by Advantage Drones, acquired 2025-04-16 to 2025-04-17, 7.2 cm per pixel, published on OpenAerialMap.
uav imagery by Bidgee Photography, acquired 2026-04-07 to 2026-04-08, 5.0 cm per pixel, published on OpenAerialMap.
ArcGIS Image ServiceTime Interval: Full Climatology Version: 1 Spatial Resolution: 3 km Time Extent: 2015 to 2025 Projection: GCS WGS84 Extent: Regional | Australia Other Formats: OGC WMS, OGC WCS, REST CollectionThis collection contains Australian OT detection climatological statistics averaged over 2015-2025 Satellite Mapping and Analysis of Severe Hailstorms (SMASH) ProjectThis Hailstorm research project seeks to address knowledge gaps in the severe hail climatology using regional to global scale satellite observations and provides mechanisms to explore related datasets. For questions/issues please contact: kristopher.m.bedka@nasa.gov
ArcGIS Image ServiceTime Interval: Seasonal Climatology Version: 1 Spatial Resolution: 3 km Time Extent: 2015 to 2025 (Dec-Feb, Mar-May, Jun-Aug, Sep-Nov) Projection: GCS WGS84 Extent: Regional | Australia Other Formats: OGC WMS, OGC WCS, REST CollectionThis collection contains Australian CTH detection climatological statistics averaged over: Dec-Feb, Mar-May, Jun-Aug, Sep-Nov 2015-2025 Satellite Mapping and Analysis of Severe Hailstorms (SMASH) ProjectThis Hailstorm research project seeks to address knowledge gaps in the severe hail climatology using regional to global scale satellite observations and provides mechanisms to explore related datasets. For questions/issues please contact: kristopher.m.bedka@nasa.gov
ArcGIS Image ServiceTime Interval: Annual Version: 1 Spatial Resolution: 3 km Time Extent: 2015 to 2025 Projection: GCS WGS84 Extent: Regional | Australia Other Formats: OGC WMS, OGC WCS, REST CollectionThis service contains Australian Anvil Cloud Days/Year statistics averaged Annually. Satellite Mapping and Analysis of Severe Hailstorms (SMASH) ProjectThis Hailstorm research project seeks to address knowledge gaps in the severe hail climatology using regional to global scale satellite observations and provides mechanisms to explore related datasets. For questions/issues please contact: kristopher.m.bedka@nasa.gov
ArcGIS Image ServiceTime Interval: Full Climatology Version: 1 Spatial Resolution: 3 km Time Extent: 2015 to 2025 Projection: GCS WGS84 Extent: Regional | Australia Other Formats: OGC WMS, OGC WCS, REST CollectionThis collection contains Australian CTH detection climatological statistics averaged over 2015-2025 Satellite Mapping and Analysis of Severe Hailstorms (SMASH) ProjectThis Hailstorm research project seeks to address knowledge gaps in the severe hail climatology using regional to global scale satellite observations and provides mechanisms to explore related datasets. For questions/issues please contact: kristopher.m.bedka@nasa.gov
uav imagery by Bidgee Photography, acquired 2026-04-07 to 2026-04-08, 5.0 cm per pixel, published on OpenAerialMap.
uav imagery by Bidgee Photography, acquired 2026-04-07 to 2026-04-08, 5.0 cm per pixel, published on OpenAerialMap.
uav imagery by Bidgee Photography, acquired 2026-04-07 to 2026-04-08, 5.0 cm per pixel, published on OpenAerialMap.
ArcGIS Image ServiceTime Interval: Full Climatology Version: 1 Spatial Resolution: 3 km Time Extent: 2015 to 2025 Projection: GCS WGS84 Extent: Regional | Australia Other Formats: OGC WMS, OGC WCS, REST CollectionThis collection contains Australian Anvil Cloud Days per Year detection climatological statistics averaged over 2015-2025 Satellite Mapping and Analysis of Severe Hailstorms (SMASH) ProjectThis Hailstorm research project seeks to address knowledge gaps in the severe hail climatology using regional to global scale satellite observations and provides mechanisms to explore related datasets. For questions/issues please contact: kristopher.m.bedka@nasa.gov