THE STREAMLINED LANDSLIDE IDENTIFICATION PROTOCOL (SLIP) EFFICIENCY IN CREATING LANDSLIDE INVENTORIES WITH 1-M LIDAR: CASE STUDY GREER’S FERRY LAKE, ARKANSAS

Landslide, a common type of geohazard that is a broad term that describes a wide range of processes that result in the downward and outward movement of slope forming materials (soil, rock, fill or a combination of factors). In this study our aim is to use the remote sensing tools (1-mLIDAR) to create an inventory of landslides that have occurred within our study area of Greer’s Ferry Lake, Arkansas. Greer’s Ferry Lake, Arkansas has an area of 1146 km², to accommodate the size of our study area we implemented the Streamlined Landslide Identification Protocol (SLIP) created by the Washington Geological Survey (Burns 2017) and measured the (SLIP) efficiency in accurately identifying landslides and to measure the landslide density for our study area. (SLIP) as a method for landslide identification focuses quickly and efficiently on the identification of observable features and classifies the landslide into predefined confidence intervals (10, 20, 30, and 40). The confidence intervals (low likelihood of being a landslide =10 and high likelihood of being a landslide =40) will be based on how identifiable features of a landslide (head scarp, flanks, internal scarps, internal features, and toe) are on the Digital Slope Model (DSM). There was a total of 2,610 identified landslides across all confidence intervals in Greer’s Ferry Lake, Arkansas (landslides with a (CI) = “10” = 483, (CI) = “20” = 1,492, (CI) = “30” = 507, and (CI) = “40” = 12). With an area of 54.05 miles² (or 140km²) Greer’s Ferry Lake, Arkansas showed approximately 5.89 slope failures per square mile (or 2.27 per square kilometer). Based on the size and scope of our study area, using the Streamlined Landslide Identification Protocol (SLIP) is a highly effective method for landslide identification with LIDAR. SLIP’s effectiveness is a result of the approach of quickly identifying landslide based on observable features on a DSM (Digital Slope Model) derived from LIDAR.