@article{fdi:010063929,
  title = {{D}evelopment of a global inundation map at high spatial resolution from topographic downscaling of coarse-scale remote sensing data},
  author = {{F}luet-{C}houinard, {E}. and {L}ehner, {B}. and {R}ebelo, {L}. {M}. and {P}apa, {F}abrice and {H}amilton, {S}. {K}.},
  editor = {},
  language = {{ENG}},
  abstract = {{L}arge-scale estimates of the area of terrestrial surface waters have greatly improved over time, in particular through the development of multi-satellite methodologies, but the generally coarse spatial resolution (tens of kms) of global observations is still inadequate for many ecological applications. {T}he goal of this study is to introduce a new, globally applicable downscaling method and to demonstrate its applicability to derive fine resolution results from coarse global inundation estimates. {T}he downscaling procedure predicts the location of surface water cover with an inundation probability map that was generated by bagged derision trees using globally available topographic and hydrographic information from the {SRTM}-derived {H}ydro{SHEDS} database and trained on the wetland extent of the {GLC}2000 global land cover map. {W}e applied the downscaling technique to the {G}lobal {I}nundation {E}xtent from {M}ulti-{S}atellites ({GIEMS}) dataset to produce a new high-resolution inundation map at a pixel size of 15 arc-seconds, termed {GIEMS}-{D}15. {GIEMS}-{D}15 represents three states of land surface inundation extents: mean annual minimum (total area, 6.5 x 10(6) km(2)), mean annual maximum (12.1 x 10(6) km(2)), and long-term maximum (173 x 10(6) km(2)); the latter depicts the largest surface water area of any global map to date. {W}hile the accuracy of {GIEMS}-{D}15 reflects distribution errors introduced by the downscaling process as well as errors from the original satellite estimates, overall accuracy is good yet spatially variable. {A} comparison against regional wetland cover maps generated by independent observations shows that the results adequately represent large floodplains and wetlands. {GIEMS}-{D}15 offers a higher resolution delineation of inundated areas than previously available for the assessment of global freshwater resources and the study of large floodplain and wetland ecosystems. {T}he technique of applying inundation probabilities also allows for coupling with coarse-scale hydro-climatological model simulations.},
  keywords = {{S}urface water ; {I}nundation ; {W}etlands ; {G}lobal ; {D}ownscaling ; {D}ecision tree ; {ZONE} {HUMIDE}},
  booktitle = {},
  journal = {{R}emote {S}ensing of {E}nvironment},
  volume = {158},
  numero = {},
  pages = {348--361},
  ISSN = {0034-4257},
  year = {2015},
  DOI = {10.1016/j.rse.2014.10.015},
  URL = {https://www.documentation.ird.fr/hor/fdi:010063929},
}