Geospatial Analysis of the Taliye Village Landslide : Pre- and Post-Event Insights Using Weighted Overlay Method

Landslides are one of the most prevalent catastrophes in the world, which can be caused by a variety of factors, human-related and natural. This study looks at the landslides that severely damaged Taliye village in the Raigad area of Maharashtra State, and it investigates the relationship between the causes of landslides and the primary contributory factor. Out of all the techniques for researching, detecting, and mitigating landslides, remote sensing and GIS have the best precision and dependability. Significant pre- and post-disaster changes in slope, land use, contour, hill shade, soil texture, NDVI, and rainfall were found through a comparative study of digitally processed thematic layers, highlighting the region's susceptibility to landslides. In this instance, we utilized the rainfall data and Weighted Overlay Method to analyze causative elements effectively. Efforts are made to identify the landslide key indicators in pre-landslide results and causative factors behind devastating landslides through post-landslide results. A major observation of the pre-and post-landslide susceptibility map classifies the area into six categories, with high-risk zones 5 and 6 showing 1.13 and 3.93%, respectively, reduced to 0 and 0.07%. It is obvious that the collapse of the zone vulnerable to landslides is what caused this alteration. Meteorological data, such as rainfall stats, serve as evidence to show that a significant amount of input led to triggering landslides. Therefore, it is crucial to apply these findings more broadly in order to formulate preventive strategies that are intended to mitigate potential repercussions and safeguard the welfare of every individual concerned.