Landslide susceptibility analysis and its verification using likelihood ratio, logistic regression, and artificial neural network models: case study of Youngin, Korea SCIE SCOPUS

Cited 156 time in WEB OF SCIENCE Cited 175 time in Scopus
Title
Landslide susceptibility analysis and its verification using likelihood ratio, logistic regression, and artificial neural network models: case study of Youngin, Korea
Author(s)
Lee, Saro; Ryu, Joo-Hyung; Kim, Ii-Soo
KIOST Author(s)
Ryu, Joo Hyung(유주형)
Publication Year
2007-12
Abstract
The likelihood ratio, logistic regression, and artificial neural networks models are applied and verified for analysis of landslide susceptibility in Youngin, Korea, using the geographic information system. From a spatial database containing such data as landslide location, topography, soil, forest, geology, and land use, the 14 landslide-related factors were calculated or extracted. Using these factors, landslide susceptibility indexes were calculated by likelihood ratio, logistic regression, and artificial neural network models. Before the calculation, the study area was divided into two sides (west and east) of equal area, for verification of the models. Thus, the west side was used to assess the landslide susceptibility, and the east side was used to verify the derived susceptibility. The results of the landslide susceptibility analysis were verified using success and prediction rates. The verification results showed satisfactory agreement between the susceptibility map and the existing data on landslide locations.
ISSN
1612-510X
URI
https://sciwatch.kiost.ac.kr/handle/2020.kiost/4614
DOI
10.1007/s10346-007-0088-x
Bibliographic Citation
LANDSLIDES, v.4, no.4, pp.327 - 338, 2007
Publisher
SPRINGER HEIDELBERG
Subject
REMOTE-SENSING DATA; HAZARD; AREA; GIS; INFORMATION; CLASSIFICATION; APENNINES; FREQUENCY; JANGHUNG; BOUN
Keywords
landslide susceptibility; likelihood ratio; logistic regression; artificial neural network; Korea
Type
Article
Language
English
Document Type
Article
Publisher
SPRINGER HEIDELBERG
Related Researcher
Research Interests

Coastal Remote Sensing,RS based Marine Surveillance System,GOCI Series Operation,연안 원격탐사,원격탐사기반 해양감시,천리안해양관측위성 운영

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