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dc.contributorFaculty of Construction and Environmenten_US
dc.creatorHan, Yao-
dc.identifier.urihttps://theses.lib.polyu.edu.hk/handle/200/7393-
dc.languageEnglishen_US
dc.publisherHong Kong Polytechnic University-
dc.rightsAll rights reserveden_US
dc.titleA study of calculation of volume change for landslides in Hong Kong Island based on airborne lidar dataen_US
dcterms.abstractHong Kong is in an area with complex geographical environment. Due to the seriousness of typhoons, there are landslides and other natural disasters appear. Landslide change detection is an important technical means for landslides monitoring and prediction, and 3D laser scanning technology has been applied to the change detection (such as landslide monitoring). This dissertation describes the research status and development of Airborne Light Detection and Ranging (LiDAR) technology at home and abroad. Meanwhile, it still analyzes the advantages and disadvantages and principles of landslide change detection methods and elaborates how airborne 3D laser scanning system works, system integration and core application areas. In this dissertation, some change detection methods that applied to the landslide have been discussed. Combined with the Lidar data of Hong Kong Island landslide, the changed volume of landslide has been calculated by point-cloud data processing and provide basis for evaluating landslide hazard and post-disaster reconstruction. The existing but have not applied to landslide change detection algorithms have been analyzed and firstly constructed a work flow to calculating the volume change for a landslide.en_US
dcterms.extentxi, 108 leaves : ill. ; 30 cm.en_US
dcterms.isPartOfPolyU Electronic Thesesen_US
dcterms.issued2013en_US
dcterms.educationalLevelAll Masteren_US
dcterms.educationalLevelM.Sc.en_US
dcterms.LCSHRemote sensing.en_US
dcterms.LCSHLandslides -- China -- Hong Kongen_US
dcterms.LCSHLandslides -- Risk assessmenten_US
dcterms.LCSHHong Kong Polytechnic University -- Dissertationsen_US
dcterms.accessRightsrestricted accessen_US

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Please use this identifier to cite or link to this item: https://theses.lib.polyu.edu.hk/handle/200/7393