@article{fdi:010089699,
  title = {{F}lood susceptibility mapping in the {T}ongo {B}assa watershed through the {GIS}, remote sensing and the frequency ratio model},
  author = {{E}bod{\'e}, {V}. {B}. and {O}ngu{\'e}n{\'e}, {R}. and {B}raun, {J}ean-{J}acques},
  editor = {},
  language = {{ENG}},
  abstract = {{F}looding constitutes a major problem for the inhabitants of {D}ouala {C}ity in general and those of the {T}ongo {B}assa watershed ({TBW}) in particular. {F}aced with this situation, public authorities need to put in place measures to mitigate the vulnerability of populations to these disasters. {T}his article aims to map flooding risk areas in the {TBW} using the geographic information system, field data (historical flood points), remote sensing data ({S}entinel {II} image) and the frequency ratio model. {T}he map produced shows that 1.41, 8.88, 28.51, 33.86 and 27.33% of the basin area are respectively delimited into very low, low, medium, high and very high flood vulnerability classes. {H}igh and very high flooding risk areas (those where flooding is most likely to occur) occupy more than half of the basin (61.19%). {T}hese areas are characterized by significant imperviousness, low altitudes, weak slopes, significant proximity to watercourses and clayey soils. {M}ost of the houses in the basin (66.92%) are located in areas affected by these two levels of exposure (high and very high). {W}ith respective success and prediction accuracy rates of 89 and 96.78%, a certain confidence deserves to be placed on the map of flooding risk areas produced.},
  keywords = {flooding risk ; frequency ratio model ; {GIS} ; remote sensing ; {T}ongo {B}assa},
  booktitle = {},
  journal = {{H}ydrology {R}esearch},
  volume = {[{E}arly access]},
  numero = {},
  pages = {[14 p.]},
  ISSN = {1998-9563},
  year = {2024},
  DOI = {10.2166/nh.2024.152},
  URL = {https://www.documentation.ird.fr/hor/fdi:010089699},
}