T150 Landslide Hazards: Inventories, Hazard Maps, Risk Analysis, and Warning Systems (Posters)
Monday, 26 September 2016
9:00 AM - 6:30 PM
Exhibit Hall E/F
RAPID LANDSLIDE INVENTORIES FROM LIDAR: SIMPLIFYING THE INVENTORY PROCESS TO SHARE LANDSLIDE DATA QUICKLY
Paper number: T150-14
Program: Technical Sessions
Time: 9:00 AM – 6:30 PM
Authors
-
Kate MickelsonWashington Geological Survey, Olympia, WA
Abstract
The SLIP process differs from typical landslide mapping protocols by omitting attribute data typically associated with most landslide inventories, such as landslide type, associated geology, date of movement, etc. and only categorizes the geologist’s confidence of the landslide’s presence. High confidence landslides are digitized as a polygon and lower certainty landslides are marked with a point. When digitizing these areas, the protocol does not separate specific landslide landforms such as the main scarp, flanks, internal scarps, and instead includes all of these features into one polygon.
In March 2016, the LHP began a pilot project that involved landslide inventory, susceptibility, and vulnerability mapping in Pierce County, the second most populous county in the state. We began with a SLIP map of the county, excluding Mount Rainier National Park, and identified 235 high confidence landslide polygons and 1,176 lower certainty landslide points. We then reviewed the SLIP data with county personnel including planners, GIS specialists, emergency managers, and engineers to identify areas to be mapped and attributed in detail following Oregon’s Department of Geology and Mineral Industries’ protocol. The stakeholders chose to focus detailed mapping in population centers, along major highway corridors, and water bodies, excluding many of the timber managed areas. In the timber managed areas, the SLIP data points were converted to polygons and attributed with mapper confidence, providing a basic county-wide landslide inventory. By implementing the SLIP method, the LHP and Pierce County were able to focus on critical areas for detailed mapping and utilize their time more effectively.
Geological Society of America Abstracts with Programs. Vol. 48, No. 7
doi: 10.1130/abs/2016AM-286317
© Copyright 2016 The Geological Society of America (GSA), all rights reserved. Permission is hereby granted to the author(s) of this abstract to reproduce and distribute it freely, for noncommercial purposes. Permission is hereby granted to any individual scientist to download a single copy of this electronic file and reproduce up to 20 paper copies for noncommercial purposes advancing science and education, including classroom use, providing all reproductions include the complete content shown here, including the author information. All other forms of reproduction and/or transmittal are prohibited without written permission from GSA Copyright Permissions.