Template-Type: ReDIF-Article 1.0
Author-Name:Ummer Iqbal, Mazhar Hussain Shah, Abdullah Riaz
Author-Email:Mummer0056@gmail.com
Author-Workplace-Name:Department of Geography (GIS), Government Post Graduate College No.1, Abbottabad, Center for Geographical Information System, University of the Punjab, Lahore
Title:Geo-Spatial Analysis to Access Land Slide Susceptibility in Tehsil Balakot, District Mansehra, Pakistan
Abstract:Land slides are 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 previouslandslides 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 wasused 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.
Keywords:GIS, LSM, Balakot, Hazard
Journal: International Journal of Innovations in Science and Technology
Pages:2104-2116
Volume:7
Issue:3
Year: 2025
Month:August
File-URL:https://journal.50sea.com/index.php/IJIST/article/view/1567/2233
File-Format: Application/pdf
File-URL:https://journal.50sea.com/index.php/IJIST/article/view/1567
File-Format: text/html
Handle: RePEc:abq:IJIST:v:7:y:2025:i:3:p:2104-2116