@article{fdi:010087677, title = {{C}oastal flood vulnerability assessment, a satellite remote sensing and modeling approach}, author = {{M}endoza, {E}. {T}. and {S}alameh, {E}. and {S}akho, {I}. and {T}urki, {I}. and {A}lmar, {R}afa{\¨e}l and {O}jeda, {E}. and {D}eloffre, {J}. and {F}rappart, {F}. and {L}aignel, {B}.}, editor = {}, language = {{ENG}}, abstract = {{A}lthough there are numerous case studies assessing coastal vulnerability, many of these studies have been performed in places where notable efforts have been carried out to provide informa-tion on the different variables that affect the coast. {H}owever, this is not the case for most places worldwide given the lack of long-term datasets. {T}his study makes use of information from satel-lite remote sensing and analytical models to derive two vulnerability indices along a 9.5 km stretch of the coast of {L}angue de {B}arbarie, {S}aint {L}ouis, {S}enegal ({W}estern {A}frica). {T}he first is a coastal vulnerability index ({CVI}) to sea level rise due to climate change and results in a five -category classification: {V}ery {L}ow, {L}ow, {M}oderate, {H}igh, and {V}ery {H}igh. {T}he second is a flood vul-nerability index ({FVI}) to coastal flooding due to extreme events and results in a three-category classification: {L}ow, {M}oderate, and {H}igh. {R}esults for the {CVI} index show that 70% of the coast pre-sents {H}igh and {V}ery {H}igh vulnerability values, largely located in the most densely populated ar-eas. {T}he {FVI} is assessed for one of the most energetic storms for the 1979-2021 period which oc-curred in {F}ebruary 2018 using a beach configuration of {M}arch 2021. {R}esults show that 29% of the coastline presents {H}igh {FVI} values (i.e., are likely to be overtopped) concentrated in the cen-tral sector of the most-populated districts. {T}his provides relevant tools to improve coastal man-agement when in situ data are not available.}, keywords = {{C}oastal vulnerability ; {S}atellite imagery ; {S}atellite altimetry ; {W}ave modeling ; {C}oastal flooding ; {S}ea level rise ; {S}aint {L}ouis ; {S}enegal ; {V}ulnerability ; {SENEGAL} ; {SAINT} {LOUIS}}, booktitle = {}, journal = {{R}emote {S}ensing {A}pplications : {S}ociety and {E}nvironment}, volume = {29}, numero = {}, pages = {100923 [13 ]}, ISSN = {2352-9385}, year = {2023}, DOI = {10.1016/j.rsase.2023.100923}, URL = {https://www.documentation.ird.fr/hor/fdi:010087677}, }