Geospatial Insights: Unraveling Howard Landslide Suspectibility

Landslides pose a significant threat to both people and the environment worldwide. Several natural or human factors such as earthquakes, volcanic activities, rainfall, and land use trigger landslides. Understanding where and when landslides occur requires accurate information on the timing, pattern, and extent of events. Remote sensing and geospatial methods can provide critical information to detect and monitor landslide activities in time and space and useful insight to support disaster risk assessment and management. This research investigates frequency ratio technique for landslide susceptibility analysis using geospatial data. The method was implemented and tested over the Howard Gap Road area of Polk County, North Carolina, USA. The method successfully predicted the landslide occurred in the area in 2018.