@article{fdi:010072040,
  title = {{S}atellite-based estimates of surface water dynamics in the {C}ongo {R}iver {B}asin},
  author = {{B}ecker, {M}. and {P}apa, {F}abrice and {F}rappart, {F}. and {A}lsdorf, {D}. and {C}almant, {S}t{\'e}phane and da {S}ilva, {J}. {S}. and {P}rigent, {C}. and {S}eyler, {F}r{\'e}d{\'e}rique},
  editor = {},
  language = {{ENG}},
  abstract = {{I}n the {C}ongo {R}iver {B}asin ({CRB}), due to the lack of contemporary in situ observations, there is a limited understanding of the large-scale variability of its present-day hydrologic components and their link with climate. {I}n this context, remote sensing observations provide a unique opportunity to better characterize those dynamics. {A}nalyzing the {G}lobal {I}nundation {E}xtent {M}ulti-{S}atellite ({GIEMS}) time series, we first show that surface water extent ({SWE}) exhibits marked seasonal patterns, well distributed along the major rivers and their tributaries, and with two annual maxima located: i) in the lakes region of the {L}walaba sub-basin and ii) in the "{C}uvette {C}entrale", including {T}umba and {M}ai-{N}dombe {L}akes. {A}t an interannual time scale, we show that {SWE} variability is influenced by {ENSO} and the {I}ndian {O}cean dipole events. {W}e then estimate water level maps and surface water storage ({SWS}) in floodplains, lakes, rivers and wetlands of the {CRB}, over the period 2003-2007, using a multi satellite approach, which combines the {GIEMS} dataset with the water level measurements derived from the {ENVISAT} altimeter heights. {T}he mean annual variation in {SWS} in the {CRB} is 81 +/- 24 km(3) and contributes to 19 +/- 5% of the annual variations of {GRACE}-derived terrestrial water storage (33 +/- 7% in the {M}iddle {C}ongo). {I}t represents also similar to 6 +/- 2% of the annual water volume that flows from the {C}ongo {R}iver into the {A}tlantic {O}cean.},
  keywords = {{S}urface water storage ; {C}ongo {R}iver {B}asin ; {R}emote sensing ; {CONGO} {COURS} {D}'{EAU} {BASSIN}},
  booktitle = {},
  journal = {{I}nternational {J}ournal of {A}pplied {E}arth {O}bservation and {G}eoinformation},
  volume = {66},
  numero = {},
  pages = {196--209},
  ISSN = {0303-2434},
  year = {2018},
  DOI = {10.1016/j.jag.2017.11.015},
  URL = {https://www.documentation.ird.fr/hor/fdi:010072040},
}