@article{fdi:010089531,
  title = {{Q}uantification of surface water extent and volume in the {I}nner {N}iger {D}elta ({IND}) over 2000-2022 using multispectral imagery and radar altimetry},
  author = {{N}ormandin, {C}. and {F}rappart, {F}. and {B}ourrel, {L}uc and {D}iepkil{\'e}, {A}. {T}. and {M}ougin, {E}. and {Z}warts, {L}. and {B}larel, {F}. and {E}gon, {F}. and {W}igneron, {J}. {P}.},
  editor = {},
  language = {{ENG}},
  abstract = {{S}patio-temporal dynamics of surface water reservoirs at regional and global scales remain poorly understood. {U}sing satellite remote sensing provides a unique opportunity to address this problem. {T}his study aims to (1) quantify the extent and volume of surface water and (2) compare our approach with other datasets. {W}e utilized {MODIS}-based spectral indices to monitor temporal variations in inundation extent. {B}y interpolating water levels across the surface water extent, we generated water level maps and quantified surface water volume from 2000 to 2022. {E}valuation against {ICES}at-2 data involved 64 comparisons, with approximately 58% showing an {R}2 value greater than or equal to 0.5, and 38% were higher than or equal to 0.7. {C}ompared to the flooding model, our method aligns more closely with {ICES}at-2 data, contrary to the flooding model which tends to overestimate water levels and, consequently, water storage.},
  keywords = {{S}urface water extent ; surface water volume ; {I}nner {N}iger {D}elta ; multispectral imagery ; radar altimetry ; {NIGER} ; {NIGER} {DELTA}},
  booktitle = {},
  journal = {{G}eocarto {I}nternational},
  volume = {39},
  numero = {1},
  pages = {2311203 [19 p.]},
  ISSN = {1010-6049},
  year = {2024},
  DOI = {10.1080/10106049.2024.2311203},
  URL = {https://www.documentation.ird.fr/hor/fdi:010089531},
}