Role of remote sensing and geotechnical studies in assessing the landslide vulnerability in the Chamoli region of Uttarakhand, India

Abstract Landslides are the most common of all natural hazards. Climatic changes, increasing population, unplanned urbanisation and increasing connectivity to the hilly regions are the prime contributors to landslides. Chamoli, the second largest district of Uttarakhand state, is home to many pilgri...

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Main Authors: Shubham Singh, Nirlipta Priyadarshini Nayak, Ashish Aggarwal, Harsh Kumar Verma
Format: Article
Language:English
Published: Springer 2025-06-01
Series:Discover Applied Sciences
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Online Access:https://doi.org/10.1007/s42452-025-06498-0
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author Shubham Singh
Nirlipta Priyadarshini Nayak
Ashish Aggarwal
Harsh Kumar Verma
author_facet Shubham Singh
Nirlipta Priyadarshini Nayak
Ashish Aggarwal
Harsh Kumar Verma
author_sort Shubham Singh
collection DOAJ
description Abstract Landslides are the most common of all natural hazards. Climatic changes, increasing population, unplanned urbanisation and increasing connectivity to the hilly regions are the prime contributors to landslides. Chamoli, the second largest district of Uttarakhand state, is home to many pilgrims and tourist spots that are visited by millions every year. It is also a zone surrounded by several thrusts/faults that in association with human interference initiate the risk of landslides and land subsidence in the region. The district holds limited studies related to landslide susceptibility and risk assessment compared to the other districts of the state. Thus, the current review article focuses on comprehensively analysing various remote sensing and geotechnical investigation-based methods deployed for the monitoring, evaluation and prediction of landslide susceptibility and risk in the region of Chamoli. Lack of connectivity, unscientific planning and improper implementation of technologies in past were the factors for not having a proper landslide risk assessment in the zone. Among the various remote sensing and geotechnical investigation-based methods that are being used globally for landslide susceptibility and risk assessment, only a few have been used in the Chamoli region of which the multi-class index overlay techniques and hybrid machine learning methods were the most widely used in the region. Thus, the study area requires more scientific exploration and studies to have a better assessment of landslide susceptibility and risk which couldn’t be possible due to poor connectivity and unavailability of proper data in the past.
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spelling doaj-art-41f0a756f68042a7a8fbff057fd40e8f2025-08-20T03:10:35ZengSpringerDiscover Applied Sciences3004-92612025-06-017613710.1007/s42452-025-06498-0Role of remote sensing and geotechnical studies in assessing the landslide vulnerability in the Chamoli region of Uttarakhand, IndiaShubham Singh0Nirlipta Priyadarshini Nayak1Ashish Aggarwal2Harsh Kumar Verma3Energy Cluster, UPESEnergy Cluster, UPESEnergy Cluster, UPESCSIR – Central Institute of Mining and Fuel Research, Research Centre BilaspurAbstract Landslides are the most common of all natural hazards. Climatic changes, increasing population, unplanned urbanisation and increasing connectivity to the hilly regions are the prime contributors to landslides. Chamoli, the second largest district of Uttarakhand state, is home to many pilgrims and tourist spots that are visited by millions every year. It is also a zone surrounded by several thrusts/faults that in association with human interference initiate the risk of landslides and land subsidence in the region. The district holds limited studies related to landslide susceptibility and risk assessment compared to the other districts of the state. Thus, the current review article focuses on comprehensively analysing various remote sensing and geotechnical investigation-based methods deployed for the monitoring, evaluation and prediction of landslide susceptibility and risk in the region of Chamoli. Lack of connectivity, unscientific planning and improper implementation of technologies in past were the factors for not having a proper landslide risk assessment in the zone. Among the various remote sensing and geotechnical investigation-based methods that are being used globally for landslide susceptibility and risk assessment, only a few have been used in the Chamoli region of which the multi-class index overlay techniques and hybrid machine learning methods were the most widely used in the region. Thus, the study area requires more scientific exploration and studies to have a better assessment of landslide susceptibility and risk which couldn’t be possible due to poor connectivity and unavailability of proper data in the past.https://doi.org/10.1007/s42452-025-06498-0LandslideSusceptibilityRemote sensingGeotechnical investigationsSlope stability analysisChamoli
spellingShingle Shubham Singh
Nirlipta Priyadarshini Nayak
Ashish Aggarwal
Harsh Kumar Verma
Role of remote sensing and geotechnical studies in assessing the landslide vulnerability in the Chamoli region of Uttarakhand, India
Discover Applied Sciences
Landslide
Susceptibility
Remote sensing
Geotechnical investigations
Slope stability analysis
Chamoli
title Role of remote sensing and geotechnical studies in assessing the landslide vulnerability in the Chamoli region of Uttarakhand, India
title_full Role of remote sensing and geotechnical studies in assessing the landslide vulnerability in the Chamoli region of Uttarakhand, India
title_fullStr Role of remote sensing and geotechnical studies in assessing the landslide vulnerability in the Chamoli region of Uttarakhand, India
title_full_unstemmed Role of remote sensing and geotechnical studies in assessing the landslide vulnerability in the Chamoli region of Uttarakhand, India
title_short Role of remote sensing and geotechnical studies in assessing the landslide vulnerability in the Chamoli region of Uttarakhand, India
title_sort role of remote sensing and geotechnical studies in assessing the landslide vulnerability in the chamoli region of uttarakhand india
topic Landslide
Susceptibility
Remote sensing
Geotechnical investigations
Slope stability analysis
Chamoli
url https://doi.org/10.1007/s42452-025-06498-0
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