Open AccessLandslide Detection Based on Bayesian Classification Method
Publication year - 2019
Publication title -
international journal of recent technology and engineering
Language(s) - English
Resource type - Journals
ISSN - 2277-3878
DOI - 10.35940/ijrte.b1147.0782s319
Subject(s) - landslide , bayesian probability , water content , task (project management) , geology , data mining , computer science , remote sensing , artificial intelligence , geotechnical engineering , engineering , systems engineering
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.