인공신경망을 이용한 산사태 취약성 분석

• 발행기관: 대한자원환경지질학회
• 저자명: 이사로 류주형 민경덕 원중선
• 간행물 정보: 『자원환경지질』33권 4호, 333~340쪽, 전체 8쪽
• 주제분류: 자연과학 > 지질학
• 파일형태: PDF
• 발행일자: 2000.08.30

영문 초록

The purpose of this study is to develop landslide susceptibility analysis technique usinf artificial neural network and apply the newly developed techniques for assessment of landslide susceptibility to study area. Yongin. Landslide locations detected from interpretation of aerial photo and field survey, and topographic, soil and geological maps of the Yongin area were collected. The data of the locations of landslide, slope, soil and geological maps of the Yongin area were collected. The data of the locatins of landslide, slope, soil texture, topography and lithology were constructed into spatial database using GIS. Usinf the factors, landslide susceptibility was analyzed by artificial neural network methods. The results of the analysis were verified usinf the landslide location data. The validation results showed satisfactory agreement between the susceptibility map and landslide location data.

키워드

인공신경망 산사태 취약성 분석 GIS 데이터베이스 구축 용인 항공사진 MATLAB