Latest algorithms and scientific developments for forest fire detection and monitoring using MSG/SEVIRI and MODIS sensors

Abstract

The detection of fires in an operative way is not a finished task in remote sensing. This work present approaches for fire detection and fire monitoring. The described rare detection algorithm exploits a physical radiative transfer model based on a sub-pixel description of the remote sensing data. This model allows refining the detection capabilities in order to perform early detection by exploiting geostationary sensors which have a low spatial resolution but high temporal resolution. Polar sensors are used to supply updated parameters to the physical model. The described fire monitoring approaches allows estimating fire parameters and defining the evolution of the fire, using different spatial resolutions, in order to complete and refine the analysis performed by the detection algorithm.