 The study uses multi-view stereopsis, MVS, techniques to produce a dense point cloud from imagery acquired by a micro UAV of a natural coastal site in Tasmania, Australia. The resulting point cloud is accurate to 25 to 40 mm and can be used to monitor sub-decimeter terrain, change such as coastal erosion. The study compares the geo-referenced point clouds to field survey points, and finds that they are accurate enough for monitoring natural landscapes. Overall, this research demonstrates the potential of UAV-based image capture for environmental remote sensing and monitoring. This article was authored by Arco Lucier and Steve Harwin.