@article{fdi:010070318,
  title = {{C}omparisons of global terrestrial surface water datasets over 15 years},
  author = {{P}ham-{D}uc, {B}. and {P}rigent, {C}. and {A}ires, {F}. and {P}apa, {F}abrice},
  editor = {},
  language = {{ENG}},
  abstract = {{C}ontinental surface water extents and dynamics are key information to model {E}arth's hydrological and biochemical cycles. {T}his study presents global and regional comparisons between two multisatellite surface water extent datasets, the {G}lobal {I}nundation {E}xtent from {M}ulti-{S}atellites ({GIEMS}) and the {S}urface {W}ater {M}icrowave {P}roduct {S}eries ({SWAMPS}), for the 1993-2007 period, along with two widely used static inundation datasets, the {G}lobal {L}akes and {W}etlands {D}atabase ({GLWD}) and the {M}atthews and {F}ung wetland estimates. {M}aximum surface water extents derived from these datasets are largely different: similar to 13 x 10(6) km(2) from {GLWD}, 5.3 x 10(6) km(2) from {M}atthews and {F}ung, similar to 6.2 x 10(6) km(2) from {GIEMS}, and similar to 10.3 x 10(6) km(2) from {SWAMPS}. {SWAMPS} global maximum surface extent reduces by nearly 51% (to similar to 5 x 10(6) km(2)) when applying a coastal filter, showing a strong contamination in this retrieval over the coastal regions. {A}nomalous surface waters are also detected with {SWAMPS} over desert areas. {T}he seasonal amplitude of the {GIEMS} surface waters is much larger than the {SWAMPS} estimates, and {GIEMS} dynamics is more consistent with other hydrological variables such as the river discharge. {O}ver the {A}mazon basin, {GIEMS} and {SWAMPS} show a very high time series correlation (95%), but with {SWAMPS} maximum extent half the size of that from {GIEMS} and from previous synthetic aperture radar estimates. {O}ver the {N}iger basin, {SWAMPS} seasonal cycle is out of phase with both {GIEMS} and {MODIS}-derived water extent estimates, as well as with river discharge data.},
  keywords = {{MONDE} ; {AMERIQUE} ; {AMAZONE} {BASSIN} ; {AFRIQUE} ; {NIGER} {BASSIN} ; {SIBERIE} ; {OB} {BASSIN}},
  booktitle = {},
  journal = {{J}ournal of {H}ydrometeorology},
  volume = {18},
  numero = {4},
  pages = {993--1007},
  ISSN = {1525-755{X}},
  year = {2017},
  DOI = {10.1175/jhm-d-16-0206.1},
  URL = {https://www.documentation.ird.fr/hor/fdi:010070318},
}