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      4. Deep Learning Impermeable Surfaces 2024 (LGATE-488)

      Deep Learning Impermeable Surfaces 2024 (LGATE-488)

      Raster dataset containing the results from 4 separate binary deep learning models (Buildings, Roads, Footpaths & Impermeable Surfaces). The following classification is used: 0 - Any permeable, 1- Buildings, 2 - Roads, 3 - Footpaths, 4 - Any other impermeable. Best results are present in suburban areas.

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      Access & Use Information
      Government Use Only
      This dataset is available for government use only
      Licence
      Custom (Other)
      Data Access Statement

      This dataset is for Government use only.

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      Tags
      • AI
      • Impermeable
      • Impervious
      • ML
      • Permeable
      • Pervious
      • Porous
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      Activity Stream RDF JSON
      landgate
      Key Information
      Published by
      Landgate
      Information classification
      OFFICIAL
      Data theme
      Environment
      Data last updated
      29-08-2024
      Update frequency
      infrequently
      Data custodian
      Reagan Cope
      Dataset contact
      Reagan Cope
      Website
      https://www.landgate.wa.gov.au/location-data-and-services/discovering-landgate-data/
      First published
      02-09-2024
      Metadata last updated
      16-07-2025
      Data source
      https://services.slip.wa.gov.au/arcgis/rest/services/Landgate_Restricted_Services/AI_CaptureWA_Gov/MapServer/25
      Temporal coverage
      01-01-2024 — 31-12-2024
      Geospatial theme
      Environment
      Geospatial source projection
      GDA2020
      Spatial coverage

      Dataset extent

      Digital object identifier
      -
      Citation
      -
      Data usability rating How reusable and linked the data is. Learn more.

      Acknowledgement

      The Government of Western Australia respectfully acknowledges the traditional owners of country throughout Western Australia and pays its respects to Elders past, present and emerging.

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