This paper demonstrates the utility of satellite remote sensing data in water management, and particularly, for ood monitoring and impact analysis. Satellite-derived data can provide timely geographical data from which water body extent in normal and¯ood regimes can be ascertained. Combined with exogenous and historical data, within a GIS, these can provide information useful for¯ood prevention decision making. The recent French Alsation, Camargue and Vaison la Romaine¯oods are taken to illustrate the utility of satellite remote sensing.

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This article focuses on the mapping of fire burn scars, fire severity and soil erosion susceptibility using multi-sensoral satellite data. An automatic procedure for the mapping of fire affected areas and for the estimation of fire severity using Sentinel-2 data is presented. The Sentinel-2 based classification results are compared to a burn scar derived by a semi-automatic object-based approach using Sentinel-1 amplitude and coherence time-series data systematically processed by the Sentinel-1 InSAR Browse service implemented on the Geohazard Exploitation Platform (GEP) of ESA. Further, a transferable approach to compute a soil erosion susceptibility index based on Pléiades data is presented. The SAR-and optical-data based methods are applied in a test area near Marseille/Vitrolles, France, which was affected by severe forest fires in August 2016.

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The case-based approach is presented through two of SERTIT's major involvements in flood risk management. The first is operational crisis management action, contracted by ESA on the River Saône March 2001 flood. Archived and scheduled remote sensing data are used, leading to the delivery of rapid flood mapping products to the Civil Protection authorities. The second consists of research and development actions on well documented historical events. The case definition is based on the analysis of imagery products and environmental data, to both describe flood hazard and vulnerability. This approach stresses the synergy between landscape, its evolution and flood impact. Both optical and radar data are used in these two applications, with specified pre-processing levels.Index terms -Case-based approach, flood management, optical and radar remote sensing, decision making, rapid mapping systems.