NH43B-1881
Smartphone-based Data Acquisition for Landslide Susceptibility Assessment
Thursday, 17 December 2015
Poster Hall (Moscone South)
Jin Son1, Sangho Lee1, MyeongChan Oh1, Da-eun Yun1, Hyeong-Dong Park1 and Sungsoo Kim2, (1)Seoul National University, Seoul, South Korea, (2)Mfactory. Co. Ltd., Goyang-si, South Korea
Abstract:
The objective of this paper is to suggest a smartphone application for collecting geological data in the assessment process of landslide susceptibility. Spatial and geological information collection is the most crucial part in risk assessment while the evaluation of large area is often conducted using geographic information system (GIS). GIS-based landslide susceptibility assessment requires large database to ensure the reliability of analyses. The digitalized collection tool can help its users obtaining precise measurements and reducing time for the data collection process. In this study, the mobile application which measures structural information from inbuilt sensors and accepts various data types had been developed. It can collect the triggering factors that promote or inhibit the hazard occurrence in the training domain areas. The database includes various spatial information such as slope, aspect, joint set and their coordinates, as well as hazard inventory. Collected geospatial datasets with smartphone application can be applied to a series of geospatial processes regarding the assessment of the landslide susceptibility.