IJIRAE:: International Journal of Innovative Research in Advanced Engineering ISSN: 2349-2163
Volume 12, Issue 04, April 2025 https://www.ijirae.com/archives
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IJIRAE: ©2014-25, AM Publications, India - All Rights Reserved https://doi.org/10.26562/ijirae Page-106
Geospatial Analysis of the Taliye Village Landslide
: Pre- and Post-Event Insights Using Weighted
Overlay Method
M.S.Malandkar,S.M.Saste
Assistant Professor, Department of Civil Engineering,
Dr.Babasaheb Ambedkar Technological University,
Lonere, Raigad, Maharashtra India
msmalandkar@dbatu.ac.in , smsaste@dbatu.ac.in
https://orcid.org/0000-0001-5904-6183
S.M.Pore
Dean R&D & HoD Professor, Department of Civil Engineering,
Dr.Babasaheb Ambedkar Technological University,
Lonere, Raigad, Maharashtra India
smpore@dbatu.ac.in
M.Dhamapurkar,S.Nimbalkar
Students, Department of Civil Engineering,
Dr. Babasaheb Ambedkar Technological University,
Lonere, Raigad, Maharashtra India
mitudhamapurkar02@gmail.com , nimbalkarshreyash80@gmail.com
Publication History
Manuscript Reference No: IJIRAE/RS/Vol.12/Issue04/APAE10081 Research Article | Open Access | Double-Blind Peer-
Reviewed | Article ID: IJIRAE/RS/Vol.12/Issue04/APAE10081 Received: 03, April 2025, Revised: 12, April 2025,
Accepted: 20, April 2025, Published Online: 03, May 2025. https://www.ijirae.com/volumes/Vol12/iss-04/01.APAE10081.pdf
Article Citation: Malandkar,Saste,Pore,Dhamapurkar,Simbalkar(2025), Geospatial Analysis of the Taliye Village
Landslide: Pre- and Post-Event Insights Using Weighted Overlay Method. IJIRAE:: International Journal of Innovative
Research in Advanced Engineering, Volume 12, Issue 03 of 2025 pages 106-114
Doi:> https://doi.org/10.26562/ijirae.2025.v1204.01
BibTeX Key: Malandkar@2025Geospatial
Copyright: ©2025 This is an open access journal, and articles are distributed under the terms of the
Creative Commons Attribution License; Which Permits unrestricted use, distribution, and reproduction
in any medium, provided the original author and source are credited.
Abstract: 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.
Keywords: Landslides, Susceptibility, Weighted Overlay Method, Comparative investigation, Environmental factors.
I. INTRODUCTION
Landslides, characterized by the downslope movement of soil, rocks, debris, and mud, are natural phenomena that often
lead to significant destruction of human life, infrastructure, and topography. These events are common worldwide,
particularly in mountainous regions where steep and curved slopes act as catalysts, causing substantial injuries, fatalities,
and property damage (Parise and Jibson 2000; Dai et al. 2002; Glade et al. 2005; Kanungo et al. 2006; Pan et al. 2008;
Girma et al. 2015). Landslides can be triggered by various factors, including heavy and prolonged rainfall, earthquakes,
rapid snowmelt, and human activities. Their movements can involve flowing, sliding, toppling, or falling, often displaying a
combination of these types (Crozier 1986; Cruden and Varnes 1996; Dikau et al. 1996). Deccan Plateau's Western Ghats
are already well-known for being a region of mountains and valleys. Mesas, buttes, and escarpments are among the
geomorphological features that characterize the Western Ghats. This coastal section of Maharashtra state experiences the
most rainfall during the monsoon season. Perhaps for the previously described reasons, the Western Ghats are prone to
landslides.