Spatio-temporal prediction of pasture dieback using UAVs and remote sensing

This project will integrate remotely sensed imagery from Unmanned Aerial Vehicles (UAVs) and satellite based platforms to identify spectral signatures of pasture dieback (PD) for easy. Cost effective identification, mapping and monitoring over time and at scale using satellite based systems. Once developed this capability will also allow further monitoring of the impact and mitigation practices to reduce infestations.