Validation and finetuning of FireML for automatic burn scar delineation from Sentinel-2 imagery
Introduction This study, carried out by Juliette Jourdan as part of an internship, was aimed at evaluating and refining FireML, a machine-learning algorithm developed by SERTIT for the rapid delineation of burned areas from mono-temporal Sentinel-2 imagery in operational emergency mapping contexts. The objective was to identify the main factors limiting performance and to assess […]







