@article{fdi:010083278,
  title = {{A}utomatic detection of inland water bodies along altimetry tracks for estimating surface water storage variations in the {C}ongo {B}asin},
  author = {{F}rappart, {F}. and {Z}eiger, {P}. and {B}etbeder, {J}. and {G}ond, {V}. and {B}ellot, {R}. and {B}aghdadi, {N}. and {B}larel, {F}. and {D}arrozes, {J}. and {B}ourrel, {L}uc and {S}eyler, {F}r{\'e}d{\'e}rique},
  editor = {},
  language = {{ENG}},
  abstract = {{S}urface water storage in floodplains and wetlands is poorly known from regional to global scales, in spite of its importance in the hydrological and the carbon balances, as the wet areas are an important water compartment which delays water transfer, modifies the sediment transport through sedimentation and erosion processes, and are a source for greenhouse gases. {R}emote sensing is a powerful tool for monitoring temporal variations in both the extent, level, and volume, of water using the synergy between satellite images and radar altimetry. {E}stimating water levels over flooded area using radar altimetry observation is difficult. {I}n this study, an unsupervised classification approach is applied on the radar altimetry backscattering coefficients to discriminate between flooded and non-flooded areas in the {C}uvette {C}entrale of {C}ongo. {G}ood detection of water (open water, permanent and seasonal inundation) is above 0.9 using radar altimetry backscattering from {ENVISAT} and {J}ason-2. {B}ased on these results, the time series of water levels were automatically produced. {T}hey exhibit temporal variations in good agreement with the hydrological regime of the {C}uvette {C}entrale. {C}omparisons against a manually generated time series of water levels from the same missions at the same locations show a very good agreement between the two processes (i.e., {RMSE} & {LE}; 0.25 m in more than 80%/90% of the cases and {R} & {GE}; 0.95 in more than 95%/75% of the cases for {ENVISAT} and {J}ason-2, respectively). {T}he use of the time series of water levels over rivers and wetlands improves the spatial pattern of the annual amplitude of water storage in the {C}uvette {C}entrale. {I}t also leads to a decrease by a factor of four for the surface water estimates in this area, compared with a case where only time series over rivers are considered.},
  keywords = {radar altimetry ; wetlands ; surface water storage ; {C}ongo ; {CONGO} ; {REPUBLIQUE} {DEMOCRATIQUE} {DU} {CONGO} ; {CONGO} {BASSIN}},
  booktitle = {},
  journal = {{R}emote {S}ensing},
  volume = {13},
  numero = {19},
  pages = {3804 [22 ]},
  year = {2021},
  DOI = {10.3390/rs13193804},
  URL = {https://www.documentation.ird.fr/hor/fdi:010083278},
}