K. Kouassi, Z. A. Kouadio, A. Konan-Waidhet, A. Affessi, K. Kouassi
{"title":"Exploitation of Satellite Data for the Mapping of Areas at Risk of Flooding in Grand-Bassam (Côte d’Ivoire)","authors":"K. Kouassi, Z. A. Kouadio, A. Konan-Waidhet, A. Affessi, K. Kouassi","doi":"10.4236/ars.2020.94007","DOIUrl":null,"url":null,"abstract":"In order to better identify spatially the areas at \nrisk of flooding for the riparian populations of Grand-Bassam during strong \nfloods, a study aimed at developing hazard and vulnerability maps from RADAR \nSentinel-1 and optical images Sentinel-2 has been put in place. The flood \nhazard study highlighted the flooded areas in Grand-Bassam. These areas represent \n747.7 ha, or 1.02% of the total surface. The vulnerability map produced using \nthe maximum likelihood method identified eight (8) land use classes. These are \nthe classes Water, Dense forest, Secondary forest, Swamp forest, Industrial \ncrops, Food crops, Habitats and bare soils. It made it possible to highlight \nthe socio-economic interests of Grand-Bassam. The flood risk map developed from \nthe intersection of the themes of the vulnerability map and that of the hazard \nhas enabled the recognition of risk areas which are located near the source of \nthe risk (Comoe River) and at low altitudes. These are Moossou, Petit Paris, \nQuartier Phare and Quartier France.","PeriodicalId":31329,"journal":{"name":"ARS","volume":"9 1","pages":"117-126"},"PeriodicalIF":0.0000,"publicationDate":"2020-12-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"ARS","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.4236/ars.2020.94007","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
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 (Comoe River) and at low altitudes. These are Moossou, Petit Paris,
Quartier Phare and Quartier France.