Landslide detection based on Bayesian classification method

Abstract

The study of landslide is a very difficult task due to high space temporal variety of involved parameters. The study of munnar city landslide has been performed by a data mining method called Bayesian classification. The dataset related to detect the landslide were soil and moisture parameters. These data sets are the basis of this work. The cumulative pattern related to the landslides depends on the data accumulated from the various sensors like geophysical sensor and moisture, soil sensor.