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hal.structure.identifierLaboratoire d'études en Géophysique et océanographie spatiales [LEGOS]
dc.contributor.authorZEIGER, P.
hal.structure.identifierInteractions Sol Plante Atmosphère [UMR ISPA]
dc.contributor.authorFRAPPART, Frédéric
hal.structure.identifierGéosciences Environnement Toulouse [GET]
dc.contributor.authorDARROZES, J.
dc.date.accessioned2024-04-08T11:45:36Z
dc.date.available2024-04-08T11:45:36Z
dc.date.issued2022
dc.identifier.issn2194-9042
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/195200
dc.description.abstractEnThis study uses the observations from the Cyclone GNSS (CYGNSS) mission to analyze their potential for a global mapping of the floods dynamics in the pan-tropical area using Global Navigation Satellite System (GNSS) Reflectometry (GNSS-R). We base our analysis on the coherent reflectivity derived from CYGNSS observations. We show that the CYGNSS mission configuration allows a gridding at a spatial resolution of 0.1° (∼11 km at the equator), with a time sampling of 1 week. We calculate the average and standard deviation values of reflectivity in the grid pixels at each time step. A Gaussian weighted window of one month is used to fill the gaps which appear in the time series due to the pseudo-random sampling of CYGNSS observations. The maps of these two parameters are then compared to elevation data from the Shuttle Radar Topography Mission (SRTM) digital elevation model (DEM), to Land Cover information from the European Space Agency's (ESA) Climate Change Initiative (CCI), and to a reference set of static inundation maps. We observe a strong correspondence between CYGNSS reflectivity-based parameters, and the percentage of flooded areas established in the literature. The detection of the major floodplains, irrigated crops, open water areas, and the hydrological network using CYGNSS data is clear. We observe some limitations over the areas with high elevation - due to the CYGNSS mission specificities - and over the most densely vegetated areas. At some point it could prevent the correct extraction of flood patterns. For a future complete CYGNSS-based flood product, the integration of ancillary data describing the major role of land cover, biomass and topography on the GNSS-R returned signals should be necessary to extract the correct features of water cycle.
dc.language.isoen
dc.publisherCopernicus Publications
dc.rights.urihttp://creativecommons.org/licenses/by/
dc.title.enIntroducing the Global Mapping of Flood Dynamics Using Gnss-Reflectometry and the Cygnss Mission
dc.typeArticle de revue
dc.identifier.doi10.5194/isprs-annals-V-3-2022-93-2022
dc.subject.halPlanète et Univers [physics]
bordeaux.journalISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
bordeaux.page93-100
bordeaux.volume53
bordeaux.hal.laboratoriesInteractions Soil Plant Atmosphere (ISPA) - UMR 1391*
bordeaux.institutionBordeaux Sciences Agro
bordeaux.institutionINRAE
bordeaux.peerReviewedoui
hal.identifierinsu-03867010
hal.version1
hal.popularnon
hal.audienceInternationale
hal.origin.linkhttps://hal.archives-ouvertes.fr//insu-03867010v1
bordeaux.COinSctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.jtitle=ISPRS%20Annals%20of%20the%20Photogrammetry,%20Remote%20Sensing%20and%20Spatial%20Information%20Sciences&rft.date=2022&rft.volume=53&rft.spage=93-100&rft.epage=93-100&rft.eissn=2194-9042&rft.issn=2194-9042&rft.au=ZEIGER,%20P.&FRAPPART,%20Fr%C3%A9d%C3%A9ric&DARROZES,%20J.&rft.genre=article


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