Proceedings of the KSRS Conference (대한원격탐사학회:학술대회논문집)
- 2004.10a
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- Pages.363-366
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- 2004
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- 1226-9743(pISSN)
THE CROSSING APPLICATION OF ARTIFICIAL NEURAL NETWORKS TO LANDSLIDE SUSCEPTIBILITY MAPPING AT KANGNEUNG, KOREA
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LEE MOUNG-JIN
(Department of Earth System Science, Yonse University)
;
- WON JOONG-SUN (Department of Earth System Science, Yonse University) ;
- LEE SARO (National Geoscience Information Center, Korea Institute of Geoscience & Mineral Resources (KIGAM))
- Published : 2004.10.01
Abstract
The purpose of this study is to reveal the spatial relationship between landslides and geospatial data set and to map the landslide susceptibility using this relationship, and the landslide occurrence data in Kangneung area in 2002. Landslide locations were identified from interpretation of satellite images. Landslide susceptibility was analyzed using an artificial neural network. The weights of each factor were determined by the back-propagation training method. Susceptibility maps were constructed from Geographic Information System (GIS), The cases were overlaid and cross overlaid for landslide susceptibility mapping in each study area in Kangneung.