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dc.contributor.authorMouyen, Maximeen_US
dc.contributor.authorSteer, Philippeen_US
dc.contributor.authorChang, Kuo-Jenen_US
dc.contributor.authorLe Moigne, Nicolasen_US
dc.contributor.authorHwang, Cheinwayen_US
dc.contributor.authorHsieh, Wen-Chien_US
dc.contributor.authorJeandet, Louiseen_US
dc.contributor.authorLonguevergne, Laurenten_US
dc.contributor.authorCheng, Ching-Chungen_US
dc.contributor.authorBoy, Jean-Paulen_US
dc.contributor.authorMasson, Fredericen_US
dc.date.accessioned2020-10-05T01:59:51Z-
dc.date.available2020-10-05T01:59:51Z-
dc.date.issued2020-06-22en_US
dc.identifier.issn2196-6311en_US
dc.identifier.urihttp://dx.doi.org/10.5194/esurf-8-555-2020en_US
dc.identifier.urihttp://hdl.handle.net/11536/154988-
dc.description.abstractThe accurate quantification of sediment mass redistribution is central to the study of surface processes, yet it remains a challenging task. Here we test a new combination of terrestrial gravity and drone photogrammetry methods to quantify sediment mass redistribution over a 1 km(2) area. Gravity and photogrammetry are complementary methods. Indeed, gravity changes are sensitive to mass changes and to their location. Thus, by using photogrammetry data to constrain this location, the sediment mass can be properly estimated from the gravity data. We carried out three joint gravimetry-photogrammetry surveys, once a year in 2015, 2016 and 2017, over a 1 km(2) area in southern Taiwan, featuring both a wide meander of the Laonong River and a slow landslide. We first removed the gravity changes from non-sediment effects, such as tides, groundwater, surface displacements and air pressure variations. Then, we inverted the density of the sediment with an attempt to distinguish the density of the landslide from the density of the river sediments. We eventually estimate an average loss of 3.7 +/- 0.4 x 10(9) kg of sediment from 2015 to 2017 mostly due to the slow landslide. Although the gravity devices used in this study are expensive and need week-long surveys, new instrumentation currently being developed will enable dense and continuous measurements at lower cost, making the method that has been developed and tested in this study well-suited for the estimation of erosion, sediment transfer and deposition in landscapes.en_US
dc.language.isoen_USen_US
dc.titleQuantifying sediment mass redistribution from joint time-lapse gravimetry and photogrammetry surveysen_US
dc.typeArticleen_US
dc.identifier.doi10.5194/esurf-8-555-2020en_US
dc.identifier.journalEARTH SURFACE DYNAMICSen_US
dc.citation.volume8en_US
dc.citation.issue2en_US
dc.citation.spage555en_US
dc.citation.epage577en_US
dc.contributor.department土木工程學系zh_TW
dc.contributor.departmentDepartment of Civil Engineeringen_US
dc.identifier.wosnumberWOS:000543692700001en_US
dc.citation.woscount0en_US
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