tailieunhanh - Engineering geological analysis for landslide susceptibility mapping in Gia Nghia volcanous area, Đak Nong province, Vietnam

The spatial information related to these factors can be derived from remote sensing data, ground based information, and several other data sources. Geographic Information System (GIS) is a very powerful tool for the integration of different types of data. Over the past few years, there have been significant developments of GIS for spatial data analysis. Efficient landslide susceptibility mapping can be carried out by combining GIS with image processing capabilities (Sarkar and Kanungo, 2004). | 34(2), 173-184 Tạp chí CÁC KHOA HỌC VỀ TRÁI ĐẤT 6-2012 ENGINEERING GEOLOGICAL ANALYSIS FOR LANDSLIDE SUSCEPTIBILITY MAPPING IN GIA NGHIA VOLCANOUS AREA, DAK NONG PROVINCE, VIETNAM NGUYEN HUY TIN1, NGUYEN VIET KY2 E - mail: huy_tintg@ 1 Geological Engineering Dept., Gadjah Mada University, Indonesia 2 Ho Chi Minh City University of Technology, Vietnam Received: November 15, 2011 1. Introduction Landslide is one of the geological hazards that commonly occur in tropical areas, especially in rainy season in the mountainous regions. Sometime, landslide is the impact of earthquake, volcanic, tectonic actions, human activities, etc. Their consequences are serious threats to mankind, economy, society and environment. Deaths, injured, collapse of infrastructures and so on are thing cannot avoid. Problems bring out such as: where and when will landslide happen? How the community can know which part of their living area is susceptibility for landslide? These are series of questions which need defined to avoid such substantial loss and also to prevent and minimize if as landslide occur. To do something like that, hence, there is a need for landslide susceptibility mapping for identification of potential landslide zones. Landslides are the result of complex interaction among several factors, primarily involving geological, geo-morphological and meteorological factors. The spatial information related to these factors can be derived from remote sensing data, ground based information, and several other data sources. Geographic Information System (GIS) is a very powerful tool for the integration of different types of data. Over the past few years, there have been significant developments of GIS for spatial data analysis. Efficient landslide susceptibility mapping can be carried out by combining GIS with image processing capabilities (Sarkar and Kanungo, 2004). 2. Research objectives The topic will develop landslide susceptibility mapping in the study area which control