The aim of this project is to develop a national satellite-derived model that detects changes in grass fuel condition (in near real-time) in crop and pasture fuel types. Specifically, a model that predicts if a paddock is: ‘natural/unharvested’ or if a paddock is ‘grazed/harvested or eaten out/harvested & baled’. The satellite-derived model would produce spatial layers that can feed into a combined satellite/field-derived model, which would be developed outside of this project. The satellite-derived model would be evaluated nation-wide and per jurisdiction through stakeholder engagement.
Additionally, while the satellite-derived model would be developed specifically for grass fuel condition in crop and pasture fuels, the model would also be evaluated for grass fuel load for all grassy fuel types including native grasses and savanna (nation-wide and per jurisdiction through stakeholder engagement).