GIS-based landslide susceptibility mapping of the Meghalaya-Shillong Plateau region using machine learning algorithms

Agrawal, Navdeep; Dixit, Jagabandhu

doi:10.1007/s10064-023-03188-2

Cited by 16 publications

References 75 publications

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An assessment of the geomorphodiversity and land use/cover change (LUCC) effects associated with landslides in Meghalaya, India

Agrawal,

Dixit

2024

Earth Surf Processes Landf

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The Shillong Plateau in the Eastern Himalayas is exposed to high seismicity, neo‐tectonic activity and orographic precipitation that aggravated landslides in the region by affecting hillslope processes. Landscape development is influenced by landslide phenomenon and depends upon geomorphic processes and geomorphodiversity (GmD). It is linked intimately with geomorphology, hydrology and soil type. This study uses a remote sensing and GIS‐based approach to assess the spatial linkage between GmD and landslide distribution in Meghalaya (India). GmD index (GmDI) is developed using geological, morphometric and geomorphological parameters and analysed with landslide distribution. The landslide distribution considering land use/cover change (LUCC) is also examined. The result shows that the region with high‐relief, valley and depression zone, mainly along the Dauki fault, have a high to a very high GmDI. About 61% of landslide localities are in zones of high GmDI, concentrated in the central and eastern parts of Meghalaya. Density analysis of the very high class (class 5) of GmD confirms the same. Most of these landslides occur in dense and light‐vegetated landmasses. However, the LUCC analysis reveals a significant increase in the built area on steeper slopes (average expansion ratio of 2.30 for slopes >15°) between 2017 and 2022, indicating a rising threat of landslides in urban areas of Meghalaya. The study presents the importance of GmD in active tectonic regions with particular reference to landslide potential and recent LUCC. It can aid decision‐makers in planning sustainable developments and risk mitigation strategies for landslide hazards and geoconservation.

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An assessment of the geomorphodiversity and land use/cover change (LUCC) effects associated with landslides in Meghalaya, India

Agrawal,

Dixit

2024

Earth Surf Processes Landf

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Assessing Seismic Hazard Potential Considering Topographic Amplification: Combined Analysis of Topographic Slopes, Land Use, and Landslides

Agrawal,

Dixit

2024

Geo-Information for Disaster Monitoring and Management

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Landslide Susceptibility Mapping Through Hyperparameter Optimized Bagging and Boosting Ensembles: Case Study of NH-10, West Bengal, India

Dey,

Das

2024

Advances in Geographic Information Science

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GIS-based landslide susceptibility mapping of the Meghalaya-Shillong Plateau region using machine learning algorithms

Cited by 16 publications

References 75 publications

An assessment of the geomorphodiversity and land use/cover change (LUCC) effects associated with landslides in Meghalaya, India

An assessment of the geomorphodiversity and land use/cover change (LUCC) effects associated with landslides in Meghalaya, India

Assessing Seismic Hazard Potential Considering Topographic Amplification: Combined Analysis of Topographic Slopes, Land Use, and Landslides

Landslide Susceptibility Mapping Through Hyperparameter Optimized Bagging and Boosting Ensembles: Case Study of NH-10, West Bengal, India

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