Landslides are natural disasters that can damage roads, homes, the environment, and even cause deaths. In areas like Prince George’s County, Maryland, changes in terrain and heavy rainfall make the land more likely to shift or slide. This study used advanced tools like LiDAR (a laser-based mapping technology) to create very detailed maps of the ground surface from the years 2014, 2018, and 2020. By comparing these maps, we detected changes in the land that might signal landslides.

To help us understand which areas are most at risk, we also used a method called the Analytical Hierarchy Process (AHP). This tool helps scientists rank different factors that contribute to landslides, like slope, soil wetness, and surface shape. By combining AHP results with the LiDAR data, we created a map that shows where landslides are more likely to happen.

Our results show that several important roads in the county are close to high-risk zones. Thia kind of research helps city planners, engineers, and emergency managers decide where to focus efforts to reduce future damage and dangers. The study also provides a scientific framework that can be used in other locations to prepare for and manage landslide dangers.