Landslide mapping using a semi-Automatic Bayesian approach

Landslide hazards are common in Taiwan due to its mountainous topography and high number of earthquakes and typhoons experienced yearly. As a result it is essential to develop a method of landslide detection that is capable of landslide providing results with a reasonable level of accuracy, and may also be integrated into an early warning or monitoring system. Probabilistic methods such as Bayesian analysis have gained interest in recent times over more traditional deterministic approaches due to their greater flexibility and the more informative nature of any obtained results. In this study, we will use a stepwise semi-Automatic Bayesian analysis approach for mapping landslides in Huaguoshan, Taiwan. Prior probability of landsliding will be obtained using an integrated analysis and used to detect landslides from a post-Typhoon satellite image. This information will be used to detect and map rainfall induced shallow landslides in a post typhoon environment.