Assessment of the regional landslide susceptiblity based on GIS

Ze Sun; Shijie Xie; Kexin Zhang; Xinshen Zheng; Yunhai Zhu

doi:10.1117/12.764892

7 August 2007 Assessment of the regional landslide susceptibility based on GIS

Ze Sun, Shijie Xie, Kexin Zhang, Xinshen Zheng, Yunhai Zhu

Proceedings Volume 6754, Geoinformatics 2007: Geospatial Information Technology and Applications; 67541K (2007) https://doi.org/10.1117/12.764892
Event: Geoinformatics 2007, 2007, Nanjing, China

Abstract

Landslide is one of the major geological disasters in Minhe area bounded on Gansu and Qinghai. Based on field detailed investigation on landslide susceptibility of Minhe area, the said paper selected four principal controlling factors to establish digital assessment standard of regional landslide susceptibility via construction of mathematical model as well as making scoring diagram of regional landslide susceptibility. Meanwhile, the method and flow of geological mapping multisource-data integration was initially set up. Two premises for conducting multisource-data integration during regional geological survey on digital basis were determined, namely, geological problem and mathematical model applicable for various geoscience research data. Two mathematical methods cited during the whole flow were Analytic Hierarchy Process (AHP) and decision tree. Digital quantification of different data types such as qualitative data and qualitative data was realized with AHP, so that those data can be imported into mathematical formula and participated in calculation as variables. Decision tree achieved artificial intelligent classification of space data such as remote sensing. Finally, landslide susceptibility assessment diagram of Minhe area was obtained, which was basically in accordance with the actual landslide distribution principle of the region via comparison with actual conditions.

Citation Download Citation

Ze Sun, Shijie Xie, Kexin Zhang, Xinshen Zheng, and Yunhai Zhu "Assessment of the regional landslide susceptibility based on GIS", Proc. SPIE 6754, Geoinformatics 2007: Geospatial Information Technology and Applications, 67541K (7 August 2007); https://doi.org/10.1117/12.764892

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