 This study used an unmanned aerial vehicle, UAV, to measure the volume of a landslide over a period of four years. The UAV captured high-resolution images of the landslide surface at multiple points in time, allowing for the creation of digital surface models, DSMs. These models were then compared to each other to ensure accuracy, and any misalignments were corrected. The resulting DSMs were then used to calculate the volume of the landslide over time. Additionally, the study also used historical aerial photographs to create a baseline DSM, and the total displacement of the landslide was calculated using the COSECIO or R-Image Correlation Algorithm. This article was authored by Darren Turner, Arco Lucier, and Stephen M. de Jong.