The application of artificial neural networks to landslide susceptibility mapping at Janghung, Korea SCIE SCOPUS

Cited 56 time in WEB OF SCIENCE Cited 65 time in Scopus
Title
The application of artificial neural networks to landslide susceptibility mapping at Janghung, Korea
Author(s)
Lee, S; Ryu, JH; Lee, MJ; Won, JS
KIOST Author(s)
Ryu, Joo Hyung(유주형)
Publication Year
2006-02
Abstract
The purpose of this study was to develop techniques for landslide susceptibility using artificial neural networks and then to apply these to the selected study area at Janghung in Korea. Landslide locations were identified from interpretation of satellite images and field survey data, and a spatial database of the topography, soil, forest, and land use. Thirteen landslide-related factors were extracted from the spatial database. These factors were then used with an artificial neural network to analyze landslide susceptibility. Each factor's weight was determined by the back-propagation training method. Five different training sets were applied to analyze and verify the effect of training. Then the landslide susceptibility indices were calculated using the back-propagation weights, and susceptibility maps were constructed from Geographic Information System (GIS) data for the five cases. Landslide locations were used to verify results of the landslide susceptibility maps and to compare them. The artificial neural network proved to be an effective tool for analyzing landslide susceptibility.
ISSN
0882-8121
URI
https://sciwatch.kiost.ac.kr/handle/2020.kiost/4922
DOI
10.1007/s11004-005-9012-x
Bibliographic Citation
MATHEMATICAL GEOLOGY, v.38, no.2, pp.199 - 220, 2006
Publisher
SPRINGER/PLENUM PUBLISHERS
Subject
CLASSIFICATION; HAZARD; AREA; GIS; VERIFICATION
Keywords
back-propagation; training site; weight; GIS; spatial database
Type
Article
Language
English
Document Type
Article
Publisher
SPRINGER/PLENUM PUBLISHERS
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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