Please use this identifier to cite or link to this item: http://hdl.handle.net/1893/34732
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dc.contributor.authorFleischmann, Ayan Santosen_UK
dc.contributor.authorPapa, Fabriceen_UK
dc.contributor.authorFassoni-Andrade, Aliceen_UK
dc.contributor.authorMelack, John Men_UK
dc.contributor.authorWongchuig, Slyen_UK
dc.contributor.authorPaiva, Rodrigo Cauduro Diasen_UK
dc.contributor.authorHamilton, Stephen Ken_UK
dc.contributor.authorFluet-Chouinard, Etienneen_UK
dc.contributor.authorBarbedo, Rafaelen_UK
dc.contributor.authorAires, Filipeen_UK
dc.contributor.authorAl Bitar, Ahmaden_UK
dc.contributor.authorBonnet, Marie-Pauleen_UK
dc.contributor.authorCoe, Michaelen_UK
dc.contributor.authorFerreira-Ferreira, Jeffersonen_UK
dc.contributor.authorSilva, Thiago S Fen_UK
dc.date.accessioned2023-01-31T11:29:39Z-
dc.date.available2023-01-31T11:29:39Z-
dc.date.issued2022-09-01en_UK
dc.identifier.other113099en_UK
dc.identifier.urihttp://hdl.handle.net/1893/34732-
dc.description.abstractThe Amazon River 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. Accurate estimates of inundation extent and its variations across spatial and temporal scales are therefore fundamental to understand and manage the basin's resources. More 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. Here we present an intercomparison of 29 inundation datasets for the Amazon basin, based on remote sensing only, hydrological modeling, or multi-source datasets, with 18 covering the lowland Amazon basin (elevation 1000 km2) is 323,700 km2. The highest spatial agreement is observed for floodplains dominated by open water such as along the lower Amazon River, whereas intermediate agreement is found along major vegetated floodplains fringing larger rivers (e.g., Amazon mainstem floodplain). Especially large disagreements exist among estimates for interfluvial wetlands (Llanos de Moxos, Pacaya-Samiria, Negro, Roraima), where inundation tends to be shallower and more variable in time. Our data intercomparison helps identify the current major knowledge gaps regarding inundation mapping in the Amazon and their implications for multiple applications. In the context of forthcoming hydrology-oriented satellite missions, we make recommendations for future developments of inundation estimates in the Amazon and present a WebGIS application (https://amazon-inundation.herokuapp.com/) we developed to provide user-friendly visualization and data acquisition of current Amazon inundation datasets.en_UK
dc.language.isoenen_UK
dc.publisherElsevier BVen_UK
dc.relationFleischmann AS, Papa F, Fassoni-Andrade A, Melack JM, Wongchuig S, Paiva RCD, Hamilton SK, Fluet-Chouinard E, Barbedo R, Aires F, Al Bitar A, Bonnet M, Coe M, Ferreira-Ferreira J & Silva TSF (2022) How much inundation occurs in the Amazon River basin?. <i>Remote Sensing of Environment</i>, 278, Art. No.: 113099. https://doi.org/10.1016/j.rse.2022.113099en_UK
dc.rightsThis item has been embargoed for a period. During the embargo please use the Request a Copy feature at the foot of the Repository record to request a copy directly from the author. You can only request a copy if you wish to use this work for your own research or private study. Accepted refereed manuscript of: Fleischmann AS, Papa F, Fassoni-Andrade A, Melack JM, Wongchuig S, Paiva RCD, Hamilton SK, Fluet-Chouinard E, Barbedo R, Aires F, Al Bitar A, Bonnet M, Coe M, Ferreira-Ferreira J & Silva TSF (2022) How much inundation occurs in the Amazon River basin?. Remote Sensing of Environment, 278, Art. No.: 113099. https://doi.org/10.1016/j.rse.2022.113099 © 2022, Elsevier. Licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International http://creativecommons.org/licenses/by-nc-nd/4.0/en_UK
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/en_UK
dc.subjectFloodingen_UK
dc.subjectSurface wateren_UK
dc.subjectFlooden_UK
dc.subjectplainsen_UK
dc.subjectInterfluvial wetlandsen_UK
dc.titleHow much inundation occurs in the Amazon River basin?en_UK
dc.typeJournal Articleen_UK
dc.rights.embargodate2023-06-02en_UK
dc.rights.embargoreason[Fleischmann_accepted_manuscript_RSE.pdf] Publisher requires embargo of 12 months after publication.en_UK
dc.identifier.doi10.1016/j.rse.2022.113099en_UK
dc.citation.jtitleRemote Sensing of Environmenten_UK
dc.citation.issn0034-4257en_UK
dc.citation.volume278en_UK
dc.citation.publicationstatusPublisheden_UK
dc.citation.peerreviewedRefereeden_UK
dc.type.statusAM - Accepted Manuscripten_UK
dc.citation.date01/06/2022en_UK
dc.description.notesAdditional co-authors: Laura Hess, Katherine Jensen, Kyle McDonald, Alex Ovando, Edward Park, Marie Parrens, Sébastien Pinel, Catherine Prigent, Angélica F. Resende, Menaka Revel, Ake Rosenqvist, Jessica Rosenqvist, Conrado Rudorff, Dai Yamazaki, Walter Collischonnen_UK
dc.contributor.affiliationFederal University of Rio Grande do Sul (UFRGS)en_UK
dc.contributor.affiliationToulouse University, Franceen_UK
dc.contributor.affiliationToulouse University, Franceen_UK
dc.contributor.affiliationUniversity of California, Santa Barbaraen_UK
dc.contributor.affiliationUniversité Grenoble Alpes (UGA)en_UK
dc.contributor.affiliationFederal University of Rio Grande do Sul (UFRGS)en_UK
dc.contributor.affiliationMichigan State Universityen_UK
dc.contributor.affiliationStanford Universityen_UK
dc.contributor.affiliationFederal University of Rio Grande do Sul (UFRGS)en_UK
dc.contributor.affiliationParis Observatoryen_UK
dc.contributor.affiliationToulouse University, Franceen_UK
dc.contributor.affiliationUniversity of Montpellieren_UK
dc.contributor.affiliationWoodwell Climate Research Centeren_UK
dc.contributor.affiliationInstituto de Desenvolvimento Sustentável Mamirauáen_UK
dc.contributor.affiliationBiological and Environmental Sciencesen_UK
dc.identifier.scopusid2-s2.0-85131121930en_UK
dc.identifier.wtid1825195en_UK
dc.contributor.orcid0000-0001-8174-0489en_UK
dc.date.accepted2022-05-19en_UK
dcterms.dateAccepted2022-05-19en_UK
dc.date.filedepositdate2023-01-09en_UK
rioxxterms.apcnot requireden_UK
rioxxterms.typeJournal Article/Reviewen_UK
rioxxterms.versionAMen_UK
local.rioxx.authorFleischmann, Ayan Santos|en_UK
local.rioxx.authorPapa, Fabrice|en_UK
local.rioxx.authorFassoni-Andrade, Alice|en_UK
local.rioxx.authorMelack, John M|en_UK
local.rioxx.authorWongchuig, Sly|en_UK
local.rioxx.authorPaiva, Rodrigo Cauduro Dias|en_UK
local.rioxx.authorHamilton, Stephen K|en_UK
local.rioxx.authorFluet-Chouinard, Etienne|en_UK
local.rioxx.authorBarbedo, Rafael|en_UK
local.rioxx.authorAires, Filipe|en_UK
local.rioxx.authorAl Bitar, Ahmad|en_UK
local.rioxx.authorBonnet, Marie-Paule|en_UK
local.rioxx.authorCoe, Michael|en_UK
local.rioxx.authorFerreira-Ferreira, Jefferson|en_UK
local.rioxx.authorSilva, Thiago S F|0000-0001-8174-0489en_UK
local.rioxx.projectInternal Project|University of Stirling|https://isni.org/isni/0000000122484331en_UK
local.rioxx.freetoreaddate2023-06-02en_UK
local.rioxx.licencehttp://www.rioxx.net/licenses/under-embargo-all-rights-reserved||2023-06-01en_UK
local.rioxx.licencehttp://creativecommons.org/licenses/by-nc-nd/4.0/|2023-06-02|en_UK
local.rioxx.filenameFleischmann_accepted_manuscript_RSE.pdfen_UK
local.rioxx.filecount1en_UK
local.rioxx.source0034-4257en_UK
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