Name: Detailed Shallow Landslide Susceptibility
Display Field: Susceptibility
Type: Raster Layer
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Description: Many parts of Oregon are highly susceptible to landslides which pose significant threats to people and infrastructure particularly in the portions of the state with moderate to steep slopes. As population growth expands and development onto landslide susceptible terrain occurs, greater losses are likely to result. Most of Oregons landslide damage has been associated with severe winter storms where landslide losses exceed $100 million in direct damage (such as the February 1996 eventsee FEMA, 1996). However, landslides are a chronic hazard in Oregon and annual average maintenance and repair costs for landslides in Oregon are over $10 million (Wang and others, 2002). Landslides induced by earthquake shaking are likely in many parts of Oregon, and losses associated with sliding in moderate-to-large earthquakes are likely to be significant. Volcanic induced and/or associated landslide hazards are also potential threats to parts of Oregon. In order to reduce risk from landslides, information about the hazard must be readily available. In 2007, research at the Oregon Department of Geology and Mineral Industries (DOGAMI) was performed to choose the best remote sensing dataset (i.e. aerial photos, photogrammetric elevation data, lidar elevation data, etc.) to use as a primary tool to begin systematic mapping of landslides in Oregon. The use of lidar topographic data was deemed necessary for the understanding and mapping the landslide hazard in Oregon. The second conclusion of this study was to systematically compile all previously mapped landslides from geologic and hazard maps. This database (Statewide Landslide Information Database of Oregon, SLIDO) would then serve as a starting place for all future landslide studies (Burns, 2007). This layer is a shallow landslide susceptibility raster dataset. The symbology on this map includes low, moderate and high susceptibility. The main components used to create the zones include 1) using a landslide inventory, 2) calculating regional slope stability factor of safety (FOS), 3) removing isolated small elevation changes (to reduce over-prediction), 4) creating buffers to add susceptible areas missed in a grid-type analysis (to reduce under-prediction), and 5) combining the four components into final susceptibility hazard zones.
Copyright Text: Partially funded by the Federal Emergency Management Agency (FEMA) Hazard Mitigation Grant Program (HMGP)
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