Publication:
Land subsidence analysis and inundation prediction based on multi-temporal digital elevation model data

cris.lastimport.scopus2025-04-23T22:22:32Z
cris.virtual.department#PLACEHOLDER_PARENT_METADATA_VALUE#
cris.virtual.orcid#PLACEHOLDER_PARENT_METADATA_VALUE#
cris.virtualsource.department84434efa-0a2e-4b89-91cc-786e38d80742
cris.virtualsource.orcid84434efa-0a2e-4b89-91cc-786e38d80742
dc.contributor.authorPAI-HUI HSUen_US
dc.contributor.authorSu, W.-R.en_US
dc.contributor.authorTsai, Chung-Hungen_US
dc.creatorPAI-HUI HSU;Tsai, C.-H.;Su, W.-R.;Hsu, P.-H.
dc.date.accessioned2019-12-20T08:41:09Z
dc.date.available2019-12-20T08:41:09Z
dc.date.issued2010
dc.description.abstractBecause large amount of ground water have been excessively withdrawn within the lowlands along the southwestern area in Taiwan, the land subsidence becomes a serious problem that property damages and life losses in the subsidence area will be caused by the poor drainage and serious flooding arise during the periods of typhoon and heavy rainfall. Therefore, how to monitor and analyze the land subsidence effectively will be an important study issue. In this study, many kinds of geospatial information are firstly collected and analyzed for subsidence monitoring. The error adjustment of the multi-temporal Digital Elevation Models (DEMs) data is implemented using the Least Squares Collocation (LSC) method proposed in our previous research works. Then the HEC-RAS and FLO-2D models are used to simulate the flood hazards to test the performance of the LSC adjustment method. The results are also used to analyze the influence of the land subsidence for flood hazards. © 2010 IEEE.
dc.identifier.doi10.1109/IGARSS.2010.5650544
dc.identifier.scopus2-s2.0-78650904603
dc.identifier.urihttps://scholars.lib.ntu.edu.tw/handle/123456789/437623
dc.identifier.urlhttps://www.scopus.com/inward/record.uri?eid=2-s2.0-78650904603&doi=10.1109%2fIGARSS.2010.5650544&partnerID=40&md5=eb2ac3dbd07c39e65ac106293472e439
dc.relation.ispartofInternational Geoscience and Remote Sensing Symposium (IGARSS)
dc.relation.pages3339-3342
dc.subject.classification[SDGs]SDG15
dc.subject.otherDigital instruments; Floods; Forestry; Geomorphology; Groundwater; Hazards; Least squares approximations; Remote sensing; Surveying; Adjustment method; Digital elevation model; Digital elevation model data; Flood simulation; Geo-spatial informations; Land subsidence; Least-squares collocation; Subsidence monitoring; Subsidence
dc.titleLand subsidence analysis and inundation prediction based on multi-temporal digital elevation model dataen_US
dc.typeconference paperen
dspace.entity.typePublication

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