@article{fdi:010089964,
  title = {{H}ow much inundation occurs in the {A}mazon {R}iver basin ?},
  author = {{F}leischmann, {A}.{S}. and {P}apa, {F}abrice and {F}assoni-{A}ndrade, {A}. and {M}elack, {J}.{M}. and {W}ongchuig {C}orrea, {S}ly and {P}aiva, {R}.{C}.{D}. and {H}amilton, {S}.{K}. and {F}luet-{C}houinard, {E}. and {B}arbedo, {R}. and {A}ires, {F}. and {A}l {B}itar, {A}. and {B}onnet, {M}arie-{P}aule and {C}oe, {M}. and {F}erreira-{F}erreira, {J}. and {H}ess, {L}. and {J}ensen, {K}. and {M}c{D}onald, {K}. and {O}vando, {A}. and {P}ark, {E}. and {P}arrens, {M}. and {P}inel, {S}. and {P}rigent, {C}. and {R}esende, {A}.{F}. and {R}evel, {M}. and {R}osenqvist, {A}. and {R}osenqvist, {J}. and {R}udorff, {C}. and {S}ilva, {T}hiago {S}.{F}. and {Y}amazaki, {D}. and {C}ollischonn, {W}.},
  editor = {},
  language = {{ENG}},
  abstract = {{T}he {A}mazon {R}iver basin harbors some of the world's largest wetland complexes, which are of major importance for biodiversity, the water cycle and climate, and human activities. {A}ccurate estimates of inundation extent and its variations across spatial and temporal scales are therefore fundamental to understand and manage the basin's resources. {M}ore than fifty inundation estimates have been generated for this region, yet major differences exist among the datasets, and a comprehensive assessment of them is lacking. {H}ere we present an intercomparison of 29 inundation datasets for the {A}mazon basin, based on remote sensing only, hydrological modeling, or multi-source datasets, with 18 covering the lowland {A}mazon basin (elevation <500 m, which includes most {A}mazon wetlands), and 11 covering individual wetland complexes (subregional datasets). {S}patial resolutions range from 12.5 m to 25 km, and temporal resolution from static to monthly, spanning up to a few decades. {O}verall, 31% of the lowland basin is estimated as subject to inundation by at least one dataset. {T}he long-term maximum inundated area across the lowland basin is estimated at 599,700 ± 81,800 km2 if considering the three higher quality {SAR}-based datasets, and 490,300 ± 204,800 km2 if considering all 18 datasets. {H}owever, even the highest resolution {SAR}-based dataset underestimates the maximum values for individual wetland complexes, suggesting a basin-scale underestimation of ~10%. {T}he minimum inundation extent shows greater disagreements among datasets than the maximum extent: 139,300 ± 127,800 km2 for {SAR}-based ones and 112,392 ± 79,300 km2 for all datasets. {D}iscrepancies arise from differences among sensors, time periods, dates of acquisition, spatial resolution, and data processing algorithms. {T}he median total area subject to inundation in medium to large river floodplains (drainage area > 1000 km2) is 323,700 km2. {T}he highest spatial agreement is observed for floodplains dominated by open water such as along the lower {A}mazon {R}iver, whereas intermediate agreement is found along major vegetated floodplains fringing larger rivers (e.g., {A}mazon mainstem floodplain). {E}specially large disagreements exist among estimates for interfluvial wetlands ({L}lanos de {M}oxos, {P}acaya-{S}amiria, {N}egro, {R}oraima), where inundation tends to be shallower and more variable in time. {O}ur data intercomparison helps identify the current major knowledge gaps regarding inundation mapping in the {A}mazon and their implications for multiple applications. {I}n the context of forthcoming hydrology-oriented satellite missions, we make recommendations for future developments of inundation estimates in the {A}mazon and present a {W}eb{GIS} application (https://amazon-inundation.herokuapp.com/) we developed to provide user-friendly visualization and data acquisition of current {A}mazon inundation datasets.},
  keywords = {{BRESIL} ; {AMAZONE} {FLEUVE} ; {ZONE} {HUMIDE}},
  booktitle = {},
  journal = {{R}emote {S}ensing of {E}nvironment},
  volume = {278},
  numero = {},
  pages = {113099 [24 ]},
  ISSN = {0034-4257},
  year = {2022},
  DOI = {10.1016/j.rse.2022.113099},
  URL = {https://www.documentation.ird.fr/hor/fdi:010089964},
}