Shallow Landslides Monitoring Using the Internet of Things and Machine Learning Technique

From past decades, Landslides remain as one of the most commonly recurring natural tragedies in the Himalayan region, which cause massive loss of lives and property. Worldwide, rainfall is one of the major triggering factors for most of the landslides. This paper provides a detailed topographic and hydro-meteorological study that leads to slope failure and development of IoT and machine learning-based intelligent monitoring systems for early prediction of landslides. The collected data have been utilized to obtain accurate results through the use of back end developed software, and the same has been integrated into the IoT based early warning system to analyze the collected precipitation data inorder to monitor and predict the landslides in real-time.