Landslide modelling and susceptibility assessment by soil moisture sensors at Katteri watershed in Southern India

Abstract

The goal of this investigation is to identify how disastrous occurrences affect the soil in watersheds. As a result, the focus of this investigation is the Katteri watershed in the Indian state of Tamil Nadu's Ootacamund region. The process was examined in the field and the lab using GIS advances and remote sensing. The momentum analysis was started in the Katteri watershed by creating several thematic guides using enrolment maps made with GIS technology that was appropriate for the request. Since most large-scale experiments could not have been conducted in the field, landslide movement at various slopes and precipitation levels was investigated using a lab model of a landslide zone. According to the investigation, more steep inclines with deeper soil are more likely to experience landslides, and precipitation is the primary trigger for these events. The model successfully implemented the use of Soil Moisture Sensors (SMS) as a landslide alarm structure. Avalanche or Landslide Alarm Mechanism may therefore be a useful technique for handling disastrous circumstances.