Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/117774
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dc.contributorDepartment of Land Surveying and Geo-Informatics-
dc.contributorResearch Institute for Land and Space-
dc.contributorMainland Development Office-
dc.creatorOh, EHen_US
dc.creatorSeo, KWen_US
dc.creatorJeon, Ten_US
dc.creatorEom, Jen_US
dc.creatorChen, Jen_US
dc.creatorWilson, CRen_US
dc.date.accessioned2026-03-05T07:56:20Z-
dc.date.available2026-03-05T07:56:20Z-
dc.identifier.issn0034-4257en_US
dc.identifier.urihttp://hdl.handle.net/10397/117774-
dc.language.isoenen_US
dc.publisherElsevier BVen_US
dc.rights© 2025 The Authors. Published by Elsevier Inc. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).en_US
dc.rightsThe following publication Oh, E. H., Seo, K.-W., Jeon, T., Eom, J., Chen, J., & Wilson, C. R. (2025). Sediment accumulation at the Amazon coast observed by satellite gravimetry. Remote Sensing of Environment, 321, 114688 is available at https://doi.org/10.1016/j.rse.2025.114688.en_US
dc.subjectAmazon Riveren_US
dc.subjectCoastal geodesyen_US
dc.subjectSatellite gravimetryen_US
dc.subjectSediment transporten_US
dc.titleSediment accumulation at the Amazon coast observed by satellite gravimetryen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.volume321en_US
dc.identifier.doi10.1016/j.rse.2025.114688en_US
dcterms.abstractTerrestrial sediment transport through large rivers exerts a significant impact on coastal morphology, marine ecosystems, and human livelihoods. Accurately measuring these sediment discharges has long been a challenge. Traditional in-situ methods fall short of providing comprehensive and continuous assessments of sediment dynamics due to spatiotemporal and economic constraints. While remote sensing techniques using satellite imagery have offered valuable insights into sediment transportation and deposition, their scope is primarily restricted to observing suspended sediment loads rather than total loads. Sediment accumulation at river margins will cause gravity increases observable by the Gravity Recovery and Climate Experiment (GRACE) and GRACE Follow-On (GFO) missions. Previous efforts to observe sediment signals lacked proper corrections for various GRACE/GFO issues, including leakage of signals from surrounding land, variations in nearby ocean mass, and noise levels that typically exceed sediment signal magnitudes. In this study, we develop a new approach to obtain a satellite gravity estimate of sediment accumulation along the Amazon coast where the largest amount of sediment deposition is expected. We address limitations in previous studies using three steps: Forward modeling to suppress leakage of signal from land to oceans; adjusting ocean mass change via the sea level equation; and filtering using empirical orthogonal functions. The estimated accumulation rate of sediment on the Amazon continental shelf is approximately 1301 Mtons per year for the period June 2002 to May 2023. This estimate is slightly higher than the results from field-based studies, which fall in the range 550 to 1030 Mtons per year.-
dcterms.abstractGraphical abstract: [Figure not available: see fulltext.]-
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationRemote sensing of environment, 1 May 2025, v. 321, 114688en_US
dcterms.isPartOfRemote sensing of environmenten_US
dcterms.issued2025-05-01-
dc.identifier.scopus2-s2.0-85219255348-
dc.identifier.eissn1879-0704en_US
dc.identifier.artn114688en_US
dc.description.validate202603 bcch-
dc.description.oaVersion of Recorden_US
dc.identifier.FolderNumberOA_Scopus/WOS-
dc.description.fundingSourceRGCen_US
dc.description.fundingSourceOthersen_US
dc.description.fundingTextWe appreciate Prof. Jusun Woo (of Seoul National University, South Korea) for his valuable advice on sedimentological interpretation. This research was supported by the National Research Foundation of Korea (NRF) grants (2022R1C1C2006586 & 2023R1A2C100489912) and the Korea Institute of Marine Science & Technology Promotion grant funded by the Ministry of Ocean Fisheries (RS-2023-00256677; PM24020). CRW was supported by NASA grants (80NSSC20K0820 & 80NSSC22K0906). JC was supported by the NSFC National Key Project (42394132) and Hong Kong RGC Collaborative Research Fund (C5013-23G).en_US
dc.description.pubStatusPublisheden_US
dc.description.oaCategoryCCen_US
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