@article{fdi:010066711,
  title = {{T}oward a high-resolution monitoring of continental surface water extent and dynamics, at global scale : from {GIEMS} ({G}lobal {I}nundation {E}xtent from {M}ulti-{S}atellites) to {SWOT} ({S}urface {W}ater {O}cean {T}opography)},
  author = {{P}rigent, {C}. and {L}ettenmaier, {D}. {P}. and {A}ires, {F}. and {P}apa, {F}abrice},
  editor = {},
  language = {{ENG}},
  abstract = {{U}p to now, high-resolution mapping of surface water extent from satellites has only been available for a few regions, over limited time periods. {T}he extension of the temporal and spatial coverage was difficult, due to the limitation of the remote sensing technique [e.g., the interaction of the radiation with vegetation or cloud for visible observations or the temporal sampling with the synthetic aperture radar ({SAR})]. {T}he advantages and the limitations of the various satellite techniques are reviewed. {T}he need to have a global and consistent estimate of the water surfaces over long time periods triggered the development of a multi-satellite methodology to obtain consistent surface water all over the globe, regardless of the environments. {T}he {G}lobal {I}nundation {E}xtent from {M}ulti-satellites ({GIEMS}) combines the complementary strengths of satellite observations from the visible to the microwave, to produce a low-resolution monthly dataset () of surface water extent and dynamics. {D}ownscaling algorithms are now developed and applied to {GIEMS}, using high-spatial-resolution information from visible, near-infrared, and synthetic aperture radar ({SAR}) satellite images, or from digital elevation models. {P}reliminary products are available down to 500-m spatial resolution. {T}his work bridges the gaps and prepares for the future {NASA}/{CNES} {S}urface {W}ater {O}cean {T}opography ({SWOT}) mission to be launched in 2020. {SWOT} will delineate surface water extent estimates and their water storage with an unprecedented spatial resolution and accuracy, thanks to a {SAR} in an interferometry mode. {W}hen available, the {SWOT} data will be adopted to downscale {GIEMS}, to produce a long time series of water surfaces at global scale, consistent with the {SWOT} observations.},
  keywords = {{S}atellite remote sensing ; {W}etland ; {H}ydrology},
  booktitle = {},
  journal = {{S}urveys in {G}eophysics},
  volume = {37},
  numero = {2},
  pages = {339--355},
  ISSN = {0169-3298},
  year = {2016},
  DOI = {10.1007/s10712-015-9339-x},
  URL = {https://www.documentation.ird.fr/hor/fdi:010066711},
}