DocumentCode
2302904
Title
Development and application of landslide susceptibility analysis techniques using geographic information system (GIS)
Author
Lee, Sang-Rim ; Ryu, Jiheon ; Min, Kyoungdoug ; Choi, Wan ; Won, Jongho
Author_Institution
Nat. Geosci. Inf. Center, Korea Inst. of Geol., Mining & Mater., Taejon
Volume
1
fYear
2000
fDate
2000
Firstpage
319
Abstract
The purpose of this study is to develop landslide susceptibility analysis techniques using a geographic information system (GIS) and to apply the newly developed techniques for assessment of landslide susceptibility to two study areas of Yongin and Janghung, Korea. Landslide locations detected from interpretation of aerial photo and field survey, and topographic, soil, forest, and geological maps of the study area, Yongin, were collected. The data on the locations of landslide, topography, soil, forest and geology were constructed into a spatial database using GIS and landslide related 14 factors were extracted from the databases. Finally landslide susceptibility was analyzed using the landslide related factors by probability, logistic regression and neural network methods. In the other study area, Janghung, landslide locations were detected from IRS satellite images by change detection technique, and geological structure of foliation were surveyed and analyzed. As the landslide occurrence factors, location of landslide, geological structure and topography were constructed into spatial database using GIS. With the landslide occurrence factors, landslide susceptibility was assessed by the relation analysis between strike and dip of the foliation, and aspect and slope of the topography. The results of the analysis were verified using the landslide location data. The validation results showed satisfactory agreement between the susceptibility map and landslide location data
Keywords
geographic information systems; geomorphology; geophysics computing; neural nets; topography (Earth); GIS; Janghung; Korea; Yongin; geographic information system; geomorphology; geophysical measurement technique; land surface; landslide; neural net; neural network; spatial database; susceptibility analysis technique; Data mining; Geographic Information Systems; Geology; Image databases; Information analysis; Logistics; Soil; Spatial databases; Surfaces; Terrain factors;
fLanguage
English
Publisher
ieee
Conference_Titel
Geoscience and Remote Sensing Symposium, 2000. Proceedings. IGARSS 2000. IEEE 2000 International
Conference_Location
Honolulu, HI
Print_ISBN
0-7803-6359-0
Type
conf
DOI
10.1109/IGARSS.2000.860505
Filename
860505
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