Full metadata record
DC FieldValueLanguage
dc.contributorFaculty of Construction and Environmenten_US
dc.creatorLi, Chiyuan-
dc.identifier.urihttps://theses.lib.polyu.edu.hk/handle/200/7570-
dc.languageEnglishen_US
dc.publisherHong Kong Polytechnic University-
dc.rightsAll rights reserveden_US
dc.titleDetection of landslide with multi-resolution DEMen_US
dcterms.abstractGeologic Landslides hazards threaten public construction and maintenance frequently. Multi-period surveys using Airborne laser scanning enable quick 3D data acquisition to DEM or TIN which can observe and detect landslides hazards. The DEM or TIN is derived mainly from the interpretation to describe the location of all landslides. This article introduces a slope detection method in the field improving the effectiveness and efficiency of the field investigation. An algorithm is presented, which handles geo-coordinates rapidly upon field acquisition and performs elevation change by comparing these newly acquired scans to the old data simultaneously. By using slope inspection estimation, size of data set could shrink into about half of the original one almost without quality loss. The study also compared Kriging and other interpolation method applying in landslide area. For instance, we practiced our method reducing 52.09% redundant data of Hong Kong Island and finally detected the landslide scope criterion of 1.67 successfully.en_US
dcterms.extentvii, 70 leaves : color illustrations ; 30 cmen_US
dcterms.isPartOfPolyU Electronic Thesesen_US
dcterms.issued2014en_US
dcterms.educationalLevelAll Masteren_US
dcterms.educationalLevelM.Sc.en_US
dcterms.LCSHLandslide hazard analysisen_US
dcterms.LCSHDigital elevation models.en_US
dcterms.LCSHHong Kong Polytechnic University -- Dissertationsen_US
dcterms.LCSHSlopes (Soil mechanics)en_US
dcterms.accessRightsrestricted accessen_US

Files in This Item:
File Description SizeFormat 
b27591207.pdfFor All Users (off-campus access for PolyU Staff & Students only)5.31 MBAdobe PDFView/Open


Copyright Undertaking

As a bona fide Library user, I declare that:

  1. I will abide by the rules and legal ordinances governing copyright regarding the use of the Database.
  2. I will use the Database for the purpose of my research or private study only and not for circulation or further reproduction or any other purpose.
  3. I agree to indemnify and hold the University harmless from and against any loss, damage, cost, liability or expenses arising from copyright infringement or unauthorized usage.

By downloading any item(s) listed above, you acknowledge that you have read and understood the copyright undertaking as stated above, and agree to be bound by all of its terms.

Show simple item record

Please use this identifier to cite or link to this item: https://theses.lib.polyu.edu.hk/handle/200/7570