Annual vegetation height for Australia for 2019 to 2025 release 2.0

This product provides an annual estimate of vegetation height (top of canopy) for 2019 to 2025 at a 30m pixel size. These images are created using an extreme gradient boosting regressor (XGBoost) machine learning model which was trained using GEDI vegetation height (from the 98th percentile height) with spatially complete earth observation data as independent variables: Landsat annual surface reflectance, Landsat annual fractional cover percentiles, PALSAR backscatter (HV polarised) annual mosaic, along with a Digital Elevation Model (DEM) as well as long-term average temperature and rainfall. This release (no. 2.0) has had minor updates to the model, and includes 2025. Further details are provided in (Ticehurst et al. (in review)). This product was created as part of the National Bushfire Intelligence Capability (NBIC) and supported by the Terrestrial Ecosystem Research Network (TERN).

Ticehurst C, Joshi R, Hussain S, Walker S, Opie K, Donohue R (in review) Developing a nation-wide vegetation height layer for bushfire fuel classification.