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Groundwater Dependent Ecosystems - Remote sensing methods for regional scale mapping and characterisation of terrestrial ecosystems

Created 17/10/2025

Updated 17/10/2025

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This study investigates the feasibility of mapping potential groundwater dependent vegetation (GDV) at a regional scale using remote sensing data. Specifically, the Digital Earth Australia (DEA) Tasseled Cap Percentiles products, integrated with the coefficient of greenness and/or wetness, are applied in three case study regions in Australia to identify and characterise potential terrestrial and aquatic groundwater dependent ecosystems (GDE). The identified high potential GDE are consistent with existing GDE mapping, providing confidence in the methodology developed. The approach provides a consistent and rapid first-pass approach for identifying and assessing GDEs, especially in remote areas of Australia lacking detailed GDE and vegetation information.

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Field Value
Title Groundwater Dependent Ecosystems - Remote sensing methods for regional scale mapping and characterisation of terrestrial ecosystems
Language eng
Licence Not Specified
Landing Page https://data.gov.au/data/dataset/3aa3d659-8b69-45e6-97ca-3c7fa73cca9b
Contact Point
Geoscience Australia Data
clientservices@ga.gov.au
Reference Period 19/07/2024
Geospatial Coverage
Map data © OpenStreetMap contributors
{
  "coordinates": [
    [
      [
        112.0,
        -44.0
      ],
      [
        154.0,
        -44.0
      ],
      [
        154.0,
        -9.0
      ],
      [
        112.0,
        -9.0
      ],
      [
        112.0,
        -44.0
      ]
    ]
  ],
  "type": "Polygon"
}
Data Portal Geoscience Australia

Data Source

This dataset was originally found on Geoscience Australia "Groundwater Dependent Ecosystems - Remote sensing methods for regional scale mapping and characterisation of terrestrial ecosystems". Please visit the source to access the original metadata of the dataset:
https://ecat.ga.gov.au/geonetwork/srv/eng/csw/dataset/groundwater-dependent-ecosystems-remote-sensing-methods-for-regional-scale-mapping-and-characte