Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/70785
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dc.contributorDepartment of Land Surveying and Geo-Informatics-
dc.creatorDu, YN-
dc.creatorXu, Q-
dc.creatorZhang, L-
dc.creatorFeng, GC-
dc.creatorLi, ZW-
dc.creatorChen, RF-
dc.creatorLin, CW-
dc.date.accessioned2017-12-28T06:18:07Z-
dc.date.available2017-12-28T06:18:07Z-
dc.identifier.issn2072-4292-
dc.identifier.urihttp://hdl.handle.net/10397/70785-
dc.language.isoenen_US
dc.publisherMolecular Diversity Preservation International (MDPI)en_US
dc.rights© 2017 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).en_US
dc.rightsThe following publication Du, Y. N., Xu, Q., Zhang, L., Feng, G. C., Li, Z. W., Chen, R. F., & Lin, C. W. (2017). Recent landslide movement in Tsaoling, Taiwan tracked by TerraSAR-x/TanDEM-x DEM time series. Remote Sensing, 9(4), (Suppl. ), 353, - is available athttps://dx.doi.org/10.3390/rs9040353en_US
dc.subjectTsaoling landslideen_US
dc.subjectTerraSAR-X/TanDEM-Xen_US
dc.subjectDEMen_US
dc.subjectTime series analysisen_US
dc.subjectVolumetric changeen_US
dc.titleRecent landslide movement in Tsaoling, Taiwan tracked by TerraSAR-x/TanDEM-x DEM time seriesen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.volume9-
dc.identifier.issue4-
dc.identifier.doi10.3390/rs9040353-
dcterms.abstractThe Tsaoling Landslide in Taiwan has captured attentions of researchers worldwide due to its frequent catastrophic failure and distinctive features. Thanks to the launch of TerraSAR- X/TanDEM- X (TSX/TDX) constellation, retrieval of global DEM with high spatial resolution and accuracy becomes possible, which is extremely useful for the study of natural hazards (e.g., landslides) globally. We attempt here for the first time to track recent landslide movements in Tsaoling Taiwan by analyzing DEM time series reconstructed from TSX/TDX image pairs. Quality improvement of InSAR derived DEM through an iterated differential operation is addressed during the data processing. Five cliffs and the Chingshui River are selected to determine the spatial pattern of morphologic changes of the landslide. The results show that: (a) A large amount of collapses occurred on dip slopes in the period from 2011 to 2014 and on surrounding debris deposits during the rainy seasons; (b) The average recession rate of the Chunqui Cliff decreased from 24.4 m/yr to 19.6 m/yr compared with the result between 1999 and 2009; (C) The Tsaoling Landslide has lost 6.90 x 10(6) m(3) of soil from November of 2011 to April of 2014, which shows a positive correlation of 0.853 with rainfall; (d) The Chingshui River is undergoing a gradual bed erosion with a volumes of 1.84 x 10(6) m(3).-
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationRemote sensing, Apr. 2017, v. 9, no. 4, 353, p. 1-18-
dcterms.isPartOfRemote sensing-
dcterms.issued2017-
dc.identifier.isiWOS:000402571700052-
dc.identifier.ros2016003897-
dc.identifier.artn353-
dc.identifier.rosgroupid2016003828-
dc.description.ros2016-2017 > Academic research: refereed > Publication in refereed journal-
dc.description.validatebcrc-
dc.description.oaVersion of Recorden_US
dc.identifier.FolderNumberOA_IR/PIRAen_US
dc.description.pubStatusPublisheden_US
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