KUNGLIGA TEKNISKA HÖGSKOLAN (SE)
The objective of tge SAR4Wildfire project is to develop a novel and automatic method, using Sentinel-1 SAR time series and a deep learning framework, for near real-time wildfire progression monitoring and burn severity mapping in preselected wildfire sites in Sweden and British Columbia, Canada. Whenever available, Sentinel-2 MSI data will be incorporated in the framework for active fire detection and burn severity mapping. Once validated the method will be applied to several 2017 and 2018 wildfire sites around the world such as California (e.g., Camp Fire and/or Mendocino Complex Fire), Russia (e.g., Siberia Fire) and Africa to explore its global applicability.
