Geo-Spatial Analysis to Access Land Slide Susceptibility in Tehsil Balakot, District Mansehra, Pakistan

Land slidesare one of the recurrent natural problems that are widespread throughout the world, especially in mountainous areas,which cause significant injuriesand loss of human lives, damage toproperties and infrastructures. The term “landslide” is the movement of a mass of rock, debris,or earth down a slope under the influence of gravity. Landslide hazard mapping is a fundamental tool for disaster management activities in fragile mountainous terrains. The main purpose of this study was to find out landslide hazard assessment by bivariate statistical modelling and prepare an optimized mitigation map of the tehsil Balakot. The modelling was performed using a geographical information system (GIS) to derive a landslide hazard map of the tehsil Balakot. To achieve the objectives of the study, two types of variables,that is,dependent variables and independent variables,were used. The dependent variable that was selected for study was landslide occurrences. As a mandatory part of the study, the sites of previous landslides were collected from Google Earth Pro software,and a consecutive field visit was also conducted to validate the landslide sites on the ground. The Independent variables were the landslide causal factors. The causal factors that were used to achieve the objectives are Slope, Aspect, Curvature, NDWI, NDVI, Geological map, Elevation,and River distance network. The DEM data, Sentinel-2 data,and regional geologic map wereused to processthe landslide causal factors. The information value model was used for assessingthe landslide susceptibility. The landslide susceptibility map was evaluated using theROC curve. The result of the AUC curve was 78.71% which indicated good accuracy in the identification of the landslide susceptibility zone in a region.

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Publication Details

Journal
International Journal of Innovations in Science and Technology
Published
2025-08-27
DOI
https://doi.org/10.33411/ijist/20257321042116
Primary Topic
Geochemistry and Geologic Mapping
Type
article
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article

Geo-Spatial Analysis to Access Land Slide Susceptibility in Tehsil Balakot, District Mansehra, Pakistan

International Journal of Innovations in Science and Technology
Geochemistry and Geologic Mapping
article

Geo-Spatial Analysis to Access Land Slide Susceptibility in Tehsil Balakot, District Mansehra, Pakistan

article en

Abstract

Land slidesare one of the recurrent natural problems that are widespread throughout the world, especially in mountainous areas,which cause significant injuriesand loss of human lives, damage toproperties and infrastructures. The term “landslide” is the movement of a mass of rock, debris,or earth down a slope under the influence of gravity. Landslide hazard mapping is a fundamental tool for disaster management activities in fragile mountainous terrains. The main purpose of this study was to find out landslide hazard assessment by bivariate statistical modelling and prepare an optimized mitigation map of the tehsil Balakot. The modelling was performed using a geographical information system (GIS) to derive a landslide hazard map of the tehsil Balakot. To achieve the objectives of the study, two types of variables,that is,dependent variables and independent variables,were used. The dependent variable that was selected for study was landslide occurrences. As a mandatory part of the study, the sites of previous landslides were collected from Google Earth Pro software,and a consecutive field visit was also conducted to validate the landslide sites on the ground. The Independent variables were the landslide causal factors. The causal factors that were used to achieve the objectives are Slope, Aspect, Curvature, NDWI, NDVI, Geological map, Elevation,and River distance network. The DEM data, Sentinel-2 data,and regional geologic map wereused to processthe landslide causal factors. The information value model was used for assessingthe landslide susceptibility. The landslide susceptibility map was evaluated using theROC curve. The result of the AUC curve was 78.71% which indicated good accuracy in the identification of the landslide susceptibility zone in a region.

International Journal of Innovations in Science and Technology
University of the Punjab (PK), Abbottabad University of Science and Technology (PK)
Climate action
Openalex Percentile: Top 28%
Geochemistry and Geologic Mapping
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Geo-Spatial Analysis to Access Land Slide Susceptibility in Tehsil Balakot, District Mansehra, Pakistan · International Journal of Innovations in Science and Technology (2025) | TGRS Research Map | TGRS