Susceptibility Analysis of Earthquake-Induced Landslide Using Random Forest Method

DOI

10.2991/cisia-15.2015.209How to use a DOI?

Keywords

random forest; earthquake-induced landslide; susceptibility analysis; mapping; Wenchuan earthquake

Abstract

This paper used random forest method to produce susceptibility analysis for earthquake-induced landslides. A landslide susceptibility model was built based on random forest method and data of environment variables and Newmark displacement. Landslide susceptibility mapping and attributes evaluation was also preformed. This model was tested in Pingwu County of Sichuan Province. The results show that the random forest method provides better accuracy on landslide prediction, and also shows smoother characteristic on the distribution of the landslide susceptibility when compared to wildly used regression models. The results confirm that the random forest method can be performed as an effective approach for landslide susceptibility evaluation and mapping.

Copyright

© 2015, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - T.Y Miao
AU  - M. Wang
PY  - 2015/06
DA  - 2015/06
TI  - Susceptibility Analysis of Earthquake-Induced Landslide Using Random Forest Method
BT  - Proceedings of the International Conference on Computer Information Systems and Industrial Applications
PB  - Atlantis Press
SP  - 771
EP  - 775
SN  - 2352-538X
UR  - https://doi.org/10.2991/cisia-15.2015.209
DO  - 10.2991/cisia-15.2015.209
ID  - Miao2015/06
ER  -