Lidar-Based Rock-Fall Hazard Characterization of Cliffs
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Abstract
Rock falls from cliffs and other steep slopes present numerous challenges for detailed geological characterization. In steep terrain, rock-fall source areas are both dangerous and difficult to access, severely limiting the ability to make detailed structural and volumetric measurements necessary for hazard assessment. Airborne and terrestrial lidar survey methods can provide high-resolution data needed for volumetric, structural, and deformation analyses of rock falls, potentially making these analyses straightforward and routine. However, specific methods to collect, process, and analyze lidar data of steep cliffs are needed to maximize analytical accuracy and efficiency. This paper presents observations showing how lidar data sets should be collected, filtered, registered, and georeferenced to tailor their use in rock fall characterization. Additional observations concerning surface model construction, volumetric calculations, and deformation analysis are also provided.
Study Area
| Publication type | Conference Paper |
|---|---|
| Publication Subtype | Conference Paper |
| Title | Lidar-Based Rock-Fall Hazard Characterization of Cliffs |
| DOI | 10.1061/9780784412121.309 |
| Year Published | 2017 |
| Language | English |
| Contributing office(s) | Geology, Minerals, Energy, and Geophysics Science Center |
| Description | 10 p. |
| First page | 3021 |
| Last page | 3030 |
| Conference Title | GeoCongress 2012 |
| Conference Location | Oakland, CA |
| Conference Date | March 25-29, 2012 |
| Country | United States |
| State | California |
| Other Geospatial | Yosemite National Park |
| Google Analytic Metrics | Metrics page |