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GSA Special Papers
Geoscience for the Public Good and Global Development: Toward a Sustainable Future
Author(s)
Gregory R. Wessel;
Gregory R. Wessel
Geology in the Public Interest, P.O. Box 1135, Vashon, Washington 98070, USA
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Jeffrey K. Greenberg
Jeffrey K. Greenberg
Department of Geology and Environmental Science, Wheaton College, Wheaton, Illinois 60187, USA
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Geological Society of America

Volume
520
Copyright:
© 2016 Geological Society of America
Attribution: You must attribute the work in the manner specified by the author or licensor (but no in any way that suggests that they endorse you or your use of the work). Noncommercial - you may not use this work for commercial purpose. No Derivative works - You may not alter, transform, or build upon this work. Sharing - Individual scientists are hereby granted permission, without fees or further requests to GSA, to use a single figure, a single table, and/or a brief paragraph of text in other subsequent works and to make unlimited photocopies of items in this journal for noncommercial use in classrooms to further education and science.
ISBN print:
9780813725208
Publication date:
May 01, 2016
Book Chapter
Improvements in shallow landslide susceptibility mapping
Author(s)
William J. Burns
Oregon Department of Geology and Mineral Industries, Portland, Oregon 97232, USA
;
William J. Burns
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Ian P. Madin
Oregon Department of Geology and Mineral Industries, Portland, Oregon 97232, USA
;
Ian P. Madin
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Katherine A. Mickelson
Oregon Department of Geology and Mineral Industries, Portland, Oregon 97232, USA
Katherine A. Mickelson
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Published:May 01, 2016
Shallow landslides are significant natural hazards in Oregon, and identification of areas susceptible to future landslides is a critical step in reducing risk. Recent advances in identification of areas susceptible to shallow landslides are mostly based on geographic information system (GIS) calculations of the slope stability using the infinite slope equation. This technique was further improved with high-resolution light detection and ranging (LiDAR)–based digital elevation models (DEM) converted to very accurate slope data as input into the GIS models. However, these models still underestimate and overestimate the susceptibility in certain areas compared to past landslide events and field observations. One...
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Index Terms/Descriptors
- data management
- digital terrain models
- erodibility
- fluvial features
- geographic information systems
- geologic hazards
- information management
- information systems
- landslides
- laser methods
- lidar methods
- mapping
- mass movements
- Multnomah County Oregon
- natural hazards
- Oregon
- planning
- Portland Oregon
- risk assessment
- risk management
- scarps
- slope stability
- United States
- urban planning
- Willamette Valley
Latitude & Longitude
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