Australia-Wide 30 m Machine Learning-Derived Canopy Height Models Composites: Best Pick and Median

Created 19/11/2025

Updated 19/11/2025

This dataset is part of the OzTreeMap project and provides two new 30 m spatial resolution canopy height products for continental Australia: the best-pick canopy height model (pick-CHM) and the median canopy height model (med-CHM). Both products represent estimates of vegetation canopy height across Australia and were developed to improve the accuracy and consistency of existing large-scale canopy height models, which were generated by researchers to represent canopy heights from variable time periods ranging from 2007 until 2020. The best-pick and median products are composites and derive from an extensive validation of the 4 original CHMs.

Each product is provided as a single-band GeoTIFF raster in the Australian Albers (EPSG:3577) coordinate reference system, with 30 m spatial resolution and float32 data type. These datasets support applications in forest structure monitoring, carbon accounting, and ecosystem assessment across Australia.

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Additional Info

Field Value
Title Australia-Wide 30 m Machine Learning-Derived Canopy Height Models Composites: Best Pick and Median
Language eng
Licence Not Specified
Landing Page https://data.gov.au/data/dataset/733a2ecb-56f1-4dd0-a9fb-89e5570d2f2b
Contact Point
Terrestrial Ecosystem Research Network's Data Discovery
nicolas.pucino@csiro.au
Reference Period 01/01/2007 - 01/01/2020
Geospatial Coverage
Map data © OpenStreetMap contributors
{
  "coordinates": [
    [
      [
        112.92,
        -43.74
      ],
      [
        153.64,
        -43.74
      ],
      [
        153.64,
        -9.03
      ],
      [
        112.92,
        -9.03
      ],
      [
        112.92,
        -43.74
      ]
    ]
  ],
  "type": "Polygon"
}
Data Portal Terrestrial Ecosystem Research Network

Data Source

This dataset was originally found on Terrestrial Ecosystem Research Network "Australia-Wide 30 m Machine Learning-Derived Canopy Height Models Composites: Best Pick and Median". Please visit the source to access the original metadata of the dataset:
https://geonetwork.tern.org.au/geonetwork/srv/eng/csw/dataset/australia-wide-30-m-machine-learning-derived-canopy-height-models-composites-best-pick-and-medi