ForestFireAI
PI - 260,348GBP
Large-scale Prediction of Forest Fire Drivers from Space Using Multi-source Remote Sensing Data and Artificial Intelligence
Large-scale Prediction of Forest Fire Drivers from Space Using Multi-source Remote Sensing Data and Artificial Intelligence
Earth observation data for greenbelt, carbon modelling and digital twins
Analysis of SAR and thermal satellite data time-series for understanding the long-term impact of land surface temperature changes on forests
Advancement of tree structure observation algorithms for forest monitoring with LiDAR data
Efficient Accumulation, Analysis and Visualisation of Full-Waveform LiDAR in a Volumetric Representation with Applications to Forestry