MINDED-FBA: An Automatic Remote Sensing Tool for the Estimation of Flooded and Burned Areas

This paper presents the MINDED-FBA, a remote-sensing-based tool for determination of both flooded and burned areas. The tool, freely distributed as QGIS plugin, consists an adaptation development previously published Multi Index Image Differencing methods (MINDED MINDED-BA). MINDED-FBA allows integration combination wider diversity satellite sensor datasets, now including synthetic aperture radar (SAR), in addition to optical multispectral data. performance is evaluated six case studies located Portugal, Australia, Pakistan, Italy, USA. were chosen representing wide range conditions, such type hazardous event (i.e., flooding or fire), scale application local regional), site specificities (e.g., climatic morphology), available data (optical SAR). results are compared respect reference delineation datasets (mostly from Copernicus EMS). with SAR particularly effective delineate flooding, while resulted best performances Nonetheless, types remote sensing (data fusion approach) also provides high correlations datasets. could represent new near-real-time solution, capable supporting emergency response measures.