01732249

Component

http://www.trb.org/Publications/Blurbs/179567.aspx

The intent of this presentation is a step-by-step analysis through the Geographic Information System (GIS) Semi-Automated Landslide Inventory Tool developed by Oregon State University (OSU) for the United States Forest Service (USFS). The tool was developed by Ben Leshchinsky and Michael Olson of OSU to assist U.S. Department of Transportation and land management agencies with conducting landslide inventories across large landscapes. The tool uses lidar or U.S. Geological Survey (USGS) digital elevation models (DEMs) to help identify head scarps from old slides. Once a head scarp has been positively identified and classified, the extents of the landslide are mapped (starting at the head scarp) using a Contour Connecting Method (CCM) algorithm. Since the algorithm is based in a GIS environment, the outputs from the analysis can be overlain with other datasets such as a road network, popular recreational areas, sensitive habitat, etc. Using this analysis in the context of pertinent datasets allows land managers, specialists, and line officers to make informed management decisions regarding landslide hazards.

01730920

English

pp 46-47

2019-9

Transportation Research Circular

12th International Conference on Low-Volume Roads

Digital/other

Figures

Algorithms; Contour maps; Evaluation and assessment; Geographic information systems; Hazard analysis; Inventory; Landslides; Laser radar; Roads

Digital Elevation Model

Data and Information Technology; Geotechnology; Highways; Security and Emergencies

TRIS, TRB, ATRI

Feb 24 2020 6:10PM