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

Authors

  • Ummer Iqbal Department of Geography (GIS), Government Post Graduate College No. 1, Abbottabad
  • Mazhar Hussain Shah Department of Geography (GIS), Government Post Graduate College No. 1, Abbottabad
  • Abdullah Riaz Center for Geographical Information System, University of the Punjab, Lahore

Keywords:

GIS, LSM, Balakot, Hazard

Abstract

Land slides are one of the recurrent natural problems that are widespread throughout the world, especially in mountainous areas, which cause significant injuries and loss of human lives, damage to properties 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 were used to process the landslide causal factors. The information value model was used for assessing the landslide susceptibility. The landslide susceptibility map was evaluated using the ROC 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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Published

2025-08-27

How to Cite

Ummer Iqbal, Mazhar Hussain Shah, & Abdullah Riaz. (2025). Geo-Spatial Analysis to Access Land Slide Susceptibility in Tehsil Balakot, District Mansehra, Pakistan. International Journal of Innovations in Science & Technology, 7(3), 2104–2116. Retrieved from https://journal.50sea.com/index.php/IJIST/article/view/1567

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