Fuel hazard, load, type and forest structure mapped from earth observation at regular intervals.
Each catalog is derived from multi-source remote sensing and calibrated against field observations, delivering operationally-ready inputs for fire behaviour modelling and land management.
Six-layer hazard assessment aligned with the DSE Overall Fuel Hazard Assessment Guide (Report 82). Rated 1–5 Low to Extreme, covering bark, elevated, near-surface and surface fuel strata.
Biomass and fuel load mapped using earth observation.
Discrete vegetation fuel type mapping using the NBIC ACS Stage 2 scheme. Vegetation classes spanning forests, plantations, woodlands, shrublands, and grasslands .
Structural fuel metrics characterising canopy architecture — key inputs for fire behaviour modelling, prescribed burning and land management.
Fuses data from spaceborne LiDAR (GEDI), Sentinel and Landsat optical time series, and airborne surveys to capture 3D vegetation structure annually.
Deep learning foundation models trained on Australian ecosystems extract structural and spectral features, enabling wall-to-wall prediction at 10m resolution.
Products are served as Cloud-Optimised GeoTIFFs via TiTiler — enabling fast, browser-based visualisation and direct GIS integration.
Browse fuel hazard, load, type and forest metrics across Victoria from 2017–2025.