Author(s)

Kouakou Hervé Kouassi^*, Zilé Alex Kouadio, Arthur Brice Konan-Waidhet, Affessi Christian Serge Affessi, Kouakou Lazare Kouassi

Laboratory of Science and Technology of Environment, Jean Lorougnon Guédé University, Daloa, Cote d’Ivoire.

In order to better identify spatially the areas at risk of flooding for the riparian populations of Grand-Bassam during strong floods, a study aimed at developing hazard and vulnerability maps from RADAR Sentinel-1 and optical images Sentinel-2 has been put in place. The flood hazard study highlighted the flooded areas in Grand-Bassam. These areas represent 747.7 ha, or 1.02% of the total surface. The vulnerability map produced using the maximum likelihood method identified eight (8) land use classes. These are the classes Water, Dense forest, Secondary forest, Swamp forest, Industrial crops, Food crops, Habitats and bare soils. It made it possible to highlight the socio-economic interests of Grand-Bassam. The flood risk map developed from the intersection of the themes of the vulnerability map and that of the hazard has enabled the recognition of risk areas which are located near the source of the risk (Comoé River) and at low altitudes. These are Moossou, Petit Paris, Quartier Phare and Quartier France.

Remote Sensing, Hazard, Vulnerability, Flood Risk, Grand-Bassam

Kouassi, K. , Kouadio, Z. , Konan-Waidhet, A. , Affessi, A. and Kouassi, K. (2020) Exploitation of Satellite Data for the Mapping of Areas at Risk of Flooding in Grand-Bassam (Côte d’Ivoire). Advances in Remote Sensing, 9, 117-126. doi: 10.4236/ars.2020.94007.