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.
References
[1]
Ngo, A.T. (2014) Evaluation environnementale du risque d’inondation dans le delta du fleuve Ha Thanh (Centre Viêt-Nam). Thèse de Doctorat, Université d’Orléans, Orléand, France.
[2]
Kussul, N., Shelestov, A., Skakun, S., Li, G., Kussul, O. and Xie, J. (2014) Service- Oriented Infrastructure for Flood Mapping Using Optical and SAR Satellite Data. International Journal of Digital Earth, 7, 829-845. https://doi.org/10.1080/17538947.2013.781242
[3]
Arusha, N. and Bharathi, B. (2019) Flood Detection and Flood Mapping Using Multi-Temporal Synthetic Aperture Radar and Optical Data. The Egyptian Journal of Remote Sensing and Space Science, 35, 1-56.
[4]
Souissi, D., Zouhri, L., Hammami, S., Msaddek, M.H., Zghibi, A. and Dlala, M. (2020) GIS-Based MCDM-AHP Modeling for Flood Susceptibility Mapping of Arid Areas, Southeastern Tunisia. Geocarto International, 35, 991-1017. https://doi.org/10.1080/10106049.2019.1566405
[5]
Hostache, R., Puech, C. and Raclot, D. (2007) Caractérisation spatiale de l’aléa inondation à partir d’images satellites RADAR. Geoprodigportail d’Information Géographique, 381, 13 p. https://doi.org/10.4000/cybergeo.7722
[6]
Kouassi, K.H., N’go, Y.A., Armand, A.K., Koua, T.J. and Stoleriu, C.C. (2020) Contribution of Sentinel 1 Radar Data to Flood Mapping in the San-Pédro River Basin (South-West Cote d’Ivoire). Asian Journal of Geographical Research, 3, 8 p. https://doi.org/10.9734/ajgr/2020/v3i230101
[7]
Hauhouot, C. (2002) Les problèmes de l’aménagement de l’estuaire du fleuve Comoe à Grand-Bassam. Les Cahiers d’Outre-Mer, 219, 307-324. https://doi.org/10.4000/com.1012
[8]
Lee, J.S., Jurkevich, T., Dewaele, P., Wambacq, P. and Oosterlinck, A. (1994) Spe- ckle Filtering of Synthetic Aperture Radar Images: A Review. Remote Sensing Reviews, 8, 313-340. https://doi.org/10.1080/02757259409532206
[9]
Kouakou, H.K., Yao, A.N., Vincent, T.A., David, N., Jacob, K., Issiaka, S. and Jean-Paul, R. (2011) Apport des images ALOS/PALSAR, ENVISAT/ASAR, et LANDSAT/TM à la cartographie des zones humides tropicales de Grand Lahou, Cote d’Ivoire. Photo-Interpretation European Journal of Applied of Remote Sensing, 47, 100-108.
[10]
Kouassi, K.H. (2013) Caractérisation et cartographie des zones humides littorales par l’apport de données radar polarimétriques et optiques: Application aux zones de Sassandra, de Grand-Lahou et d’Abidjan (Cote d’Ivoire). Thèse de Doctorat, Université Nangui Abrogoua, Abidjan, Cote d’Ivoire, 179 p.
[11]
Morin, M. (2008) Concepts de base en sécurité civile. Québec, Canada, 60 p.
[12]
Saley, M.B., Kouamé, F.K., Penven, M.J. and Biémi, J. (2005) Cartographie des zones à risque d’inondation dans la région semi-montagneuse à l’Ouest de la Cote d’Ivoire: Apports des MNA et de l’imagerie satellitaire. Télédétection, 5, 53-57.
[13]
Kouadio, Z.A., Soro, G.E., Kouakou, K.E., Goula, B.T.A. and Savané, I. (2018) Inon- dations fréquentes à Agboville (Cote d’Ivoire): Quelles origines? Larhyss Journal, 33, 189-207.
