Submitting Campus

Prescott

Student Status

Undergraduate

Archival Class Information

Undergraduate Student Works

Advisor Name

Dr. Ronny Schroeder

Abstract/Description

Along mountainous roads, rockslides, mud slides and avalanches pose a significant risk for continued access to a region and can cause large amounts of damage to infrastructure, taking time to clear and repair. The prediction of where these events will occur can allow preventative measures to be taken, allowing sustained access and preventing costly repairs.

This study develops a method to analyze and predict rockslide risk using satellite-sourced multispectral imagery and airborne LiDAR data.

The developed method started with multispectral LANDSAT 8 imagery and airborne LiDAR captures over Arizona Highway 89A, with all data taken between late August and early September of 2020. This data was then developed into four (4) factors that were determined to affect rockslide risk. Utilizing several weighted overlay analysis, multiple risk maps were created, each emphasizing one of the factors. Then, a final map was derived from the risk maps, from which areas of the highest risk were highlighted. The developed method was then discussed, and further developments to the method considered.  Historic landslide data could be used to evaluate the method, and temporal considerations should be integrated into future risk modeling methods.

Document Type

Poster

Publication/Presentation Date

2026

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