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dc.date.accessioned2024-03-11T18:46:03Z
dc.date.available2024-03-11T18:46:03Z
dc.date.created2023-10-22T13:18:38Z
dc.date.issued2023
dc.identifier.citationYe, Xuchun Wu, Juan Li, Xianghu Li, Yunliang Zhang, Qi Xu, Chong-Yu . Multi-source remote sensing data and image fusion technology reveal significant spatiotemporal heterogeneity of inundation dynamics in a typical large floodplain lake system. Journal of Hydrology Regional Studies. 2023, 50
dc.identifier.urihttp://hdl.handle.net/10852/109484
dc.description.abstractStudy region The Poyang Lake, which is located on the south bank of the middle-lower Yangtze River basin. The lake is the largest freshwater lake in China, and also a typical floodplain lake in the world. Study focus The spatiotemporal heterogeneity of inundation dynamics of large floodplain lake system has not been paid enough attention. Based on the reconstructed high spatial and temporal resolution inundation dataset using the image fusion model and multi-source remote sensing data, this study systematically analyzed the spatiotemporal heterogeneity of inundation dynamics in the Poyang Lake- floodplain system. New hydrological insights for the region It is found that within the same floodplain lake, the inundated area and inundation frequency in different regions of the lake (the main lake region and the adjacent floodplain region) can have asynchronous intra-annual fluctuation and opposite inter-annual change trend. This is highly related to the hydrological complexity of the lake: the relative impacts of catchment inflow and the Yangtze River varies in different regions across the lake. The stage-area relationship at the central station along the flow direction of the lake has the highest linear correlation, which might provide more accurate estimates of lake surface/volume. In addition, this study highlights the importance of reconstructed high spatial-temporal resolution of remote sensing data for the accurate assessment of inundation dynamics in floodplain lakes. All the results enrich the understanding of complex hydrological regime of large floodplain lakes and are valuable for the practice of water resources management and ecological conservation in such lakes.
dc.languageEN
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/
dc.titleMulti-source remote sensing data and image fusion technology reveal significant spatiotemporal heterogeneity of inundation dynamics in a typical large floodplain lake system
dc.title.alternativeENEngelskEnglishMulti-source remote sensing data and image fusion technology reveal significant spatiotemporal heterogeneity of inundation dynamics in a typical large floodplain lake system
dc.typeJournal article
dc.creator.authorYe, Xuchun
dc.creator.authorWu, Juan
dc.creator.authorLi, Xianghu
dc.creator.authorLi, Yunliang
dc.creator.authorZhang, Qi
dc.creator.authorXu, Chong-Yu
cristin.unitcode185,15,22,0
cristin.unitnameInstitutt for geofag
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode1
dc.identifier.cristin2187336
dc.identifier.bibliographiccitationinfo:ofi/fmt:kev:mtx:ctx&ctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.jtitle=Journal of Hydrology Regional Studies&rft.volume=50&rft.spage=&rft.date=2023
dc.identifier.jtitleJournal of Hydrology Regional Studies
dc.identifier.volume50
dc.identifier.pagecount14
dc.identifier.doihttps://doi.org/10.1016/j.ejrh.2023.101541
dc.type.documentTidsskriftartikkel
dc.type.peerreviewedPeer reviewed
dc.source.issn2214-5818
dc.type.versionPublishedVersion
cristin.articleid101541


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