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digital-earth-australia

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Open-data geospatial AI for native-vegetation extent, disturbance & rehabilitation-proxy monitoring in Western Australia (DEA Sentinel-2 + WA vectors, PyTorch U-Net, spatial validation, calibrated uncertainty, hectare CIs).

  • Updated Jun 30, 2026
  • Jupyter Notebook

Forecasting next-month vegetation greenness (NDVI) across four Australian biomes from Digital Earth Australia imagery. LightGBM, a ConvLSTM and a GraphCast-style GNN, scored against persistence and climatology baselines on splits in space and time. Interactive demo included.

  • Updated Aug 6, 2026
  • Jupyter Notebook

Open-source workflow for detecting, screening, and validating woody vegetation change across floodplain wetlands using Digital Earth Australia Land Cover, Water Observations, Landsat Surface Reflectance NBART, Wetlands Insight Tool outputs, ANAE wetland boundaries, and river gauge data for hydrological interpretation.

  • Updated Apr 22, 2026
  • Jupyter Notebook

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