Determining Bank Erosion Hazard Index Using Unmanned Aerial Systems

Presentation: PowerPoint 

Author(s): Christine Casole Skelly and Loy

Abstract: The ability to accurately and rapidly predict streambank erosion rates is quickly becoming a critical procedure to quantify nutrient crediting when implementing stream restoration projects. As established methodology to achieving a bank erosion rate is the BANCS model (Rosgen, 1996). The focus of this presentation will be the collection of BEHI data for the BANCS model. A total of seven metrics is collected to develop a rating and a total score including bank-height ratio, root depth ratio, weighted root density, bank angle, surface protection, bank material and stratification of bank material. An alternate means for collecting BEHI data is to utilize a small unmanned aerial system (sAUS), to collect the data necessary to develop a BEHI number. Information collected by a sAUS is in high-resolution imagery or sensor data, captured using replicable flight paths. In this manner, the seven metrics required for the BEHI rating can be accurately collected and analyzed in less field time with results that are able to be revisited.