Automating the Creation of Thermal Hotspot Datasets from Sentinel-2 Raw Multispectral Imagery for Onboard Artificial Intelligence

This work presents a novel methodology to automate the creation of datasets for the detection of thermal hotspots, such as wildfires and volcanic eruptions, directly from Sentinel-2 raw multispectral data. The proposed approach leverages existing algorithms designed for processed Level-1C data to efficiently identify and annotate the corresponding raw data granules.