From Terrestrial Ecosystem Research Network
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Southeast Queensland Bioregion Spatial BioCondition, 2021, Version 2.0

Created 25/06/2025

Updated 25/06/2025

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This is a spatial dataset comprising predictions of vegetation condition for biodiversity for the Southeast Queensland bioregion. The dataset was created using a gradient boosting decision tree (GBDT) model based on 10 vegetation-specific remote sensing datasets and 7,938 training sites of known vegetation community and condition state across Southeast Queensland, Brigalow Belt and Central Queensland Coast bioregions. Condition score was modelled as a function of distance in the remote sensing (RS) space within homogeneous vegetation communities. The product is intended to represent predicted BioCondition for 2021 rather than any singe date.

Files and APIs

Additional Info

Field Value
Title Southeast Queensland Bioregion Spatial BioCondition, 2021, Version 2.0
Language eng
Licence Not Specified
Landing Page https://data.gov.au/data/dataset/aeafaa00-a40f-4dcb-848a-e8ef08fca849
Contact Point
Terrestrial Ecosystem Research Network�s Data Discovery
esupport@tern.org.au
Reference Period 01/01/2021 - 31/12/2021
Geospatial Coverage
Map data © OpenStreetMap contributors
{
  "coordinates": [
    [
      [
        150.788055133333,
        -28.4371048222222
      ],
      [
        153.552945044444,
        -28.4371048222222
      ],
      [
        153.552945044444,
        -23.1847512888889
      ],
      [
        150.788055133333,
        -23.1847512888889
      ],
      [
        150.788055133333,
        -28.4371048222222
      ]
    ]
  ],
  "type": "Polygon"
}
Data Portal Terrestrial Ecosystem Research Network

Data Source

This dataset was originally found on Terrestrial Ecosystem Research Network "Southeast Queensland Bioregion Spatial BioCondition, 2021, Version 2.0". Please visit the source to access the original metadata of the dataset:
https://geonetwork.tern.org.au/geonetwork/srv/eng/csw/dataset/southeast-queensland-bioregion-spatial-biocondition-2021-version-2-0