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학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 발행연도
- 2016.6
- 수록면
- 95 - 106 (12page)
이용수
초록· 키워드
오류제보하기
Landslide is one of the natural hazards, triggered by rainfall or earthquake and it leads to damage and loss of properties and lives especially in hilly and mountainous regions. Inventory maps of the area is of much importance in order to understand the landslide phenomena in detail , conduct further studies on landslide, prepare susceptibility map and minimize risk.. Inventory maps of landslides can be constructed by several methods, using multiple images through visual interpretation, using algorithms in multi-spectral or SAR images or verification from field investigation. The possible methods were explored for Sindhupalchowk district of Nepal, which was struck by massive earthquake on 2015 and landslide inventory was prepared. The inventory was analyzed for its frequency over elevation, slope aspect and dominant soil classes and also the information value for their occurrence probability.
목차
Abstract
1. Introduction
2. Geospatial Techniques for Landslide Inventory
3. Analysis of Landslide based on Frequency Ratio and Information Value
4. Case of Sindhupalchowk, Nepal
5. Conclusions
References
참고문헌 (37)
참고문헌 신청
[학술지(정기간행물)] - Alfaro, P / 2012 / Widespread landslides induced by the Mw 5.1 earthquake of 11 May 2011 in Lorca, SE Spain / Engineering Geology 137 : 40 ~ 52
[학술지(정기간행물)] - Althuwaynee, O. F / 2012 / Application of an evidential belief function model in landslide susceptibility mapping / Computer & Geosciences 44 : 120 ~ 135
[단행본] - Bogardi, J. J / 2006 / Introduction / United Nations University Press
[기타자료] - Bui, D. T / 2014 / Landslide susceptibility mapping along the national road 32 of Vietnam using GIS-based J48 decision tree classifier and its ensembles / Cartography from pole to pole : 303 ~ 317
[학술지(정기간행물)] - Bui, D. T / 2016 / Spatial prediction models for shallow landslide hazards: a comparative assessment of the efficacy of support vector machines, artificial neural networks, kernel logistic regression, and logistic model tree / Landslides 13 (2) : 361 ~ 378
[학술지(정기간행물)] - Althuwaynee, O. F / 2012 / Application of an evidential belief function model in landslide susceptibility mapping / Computer & Geosciences 44 : 120 ~ 135
[단행본] - Bogardi, J. J / 2006 / Introduction / United Nations University Press
[기타자료] - Bui, D. T / 2014 / Landslide susceptibility mapping along the national road 32 of Vietnam using GIS-based J48 decision tree classifier and its ensembles / Cartography from pole to pole : 303 ~ 317
[학술지(정기간행물)] - Bui, D. T / 2016 / Spatial prediction models for shallow landslide hazards: a comparative assessment of the efficacy of support vector machines, artificial neural networks, kernel logistic regression, and logistic model tree / Landslides 13 (2) : 361 ~ 378
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