HR: 15:10h
AN: G33D-07 [Abstracts]
TI: Four-dimensional surface deformation analysis, snow volume calculation, and fault mapping with Ground
Based Tripod LiDAR
AU: * Bawden, G W
EM: gbawden@usgs.gov
AF: US Geological Survey, 3020 State University Drive East
Modoc Hall Suite 4004, Sacramento, CA 95819
United States
AU: Schmitz, S
EM: sschmitz@usgs.gov
AF: US Geological Survey, 3020 State University Drive East
Modoc Hall Suite 4004, Sacramento, CA 95819
United States
AU: Howle, J F
EM: jfhowle@usgs.gov
AF: US Geological Survey, 229 North Lake Blvd, Carnelian Bay, CA 96140
United States
AU: Laczniak, R J
EM: rlaczni@usgs.gov
AF: US Geological Survey, 160 N. Stephanie Street, Henderson, NV 89074
United States
AU: Bowers, J
EM: jcbowers@usgs.gov
AF: US Geological Survey, 13581 John Glenn Rd, Apple Valley, CA 92308
United States
AU: Osterhuber, R
EM: randall@sierra.net
AF: UC Berkeley, Box 810, Soda Springs, CA 95728
United States
AU: Irvine, P
EM: pirvine@consrv.ca.gov
AF: California Geological Survey, 655 South Hope Street
Suite 700, Los Angeles, CA 90017
United States
AB:
Ground-based tripod or terrestrial LiDAR (T-LiDAR) has the potential to significantly advance science and hazard assessments
in a broad number of research disciplines using remotely collected ultra-high resolution (centimeter to subcentimeter) and
accurate (ñ4 mm) digital imagery of the scanned target. This can be accomplished at distances from 3 to >800 meters,
depending on the instrument and target's infrared reflective properties. Scientific analysis of the ultra-high resolution
T-LiDAR imagery is through the direct analysis of three-dimensional datasets to calculate target dimensions, volume, and
area; alternatively, repeated surveys of the target, differential four-dimensional time-series analysis can be used to
evaluate volume change, target stability, surface displacements, or change-detection.
Three examples are given that show a range of scientific T-LiDAR application to earth science research: (1) fault mapping at
Yucca Flat, Nev.; (2) snow volume calculations in the central Sierra Nevada, Calif.; and (3) hazard mitigation and
change-detection and hazard mitigation for the June 1, 2005, Laguna Beach Landslide, southern Calif. The fault-mapping
example is a static analysis of many detailed (1- to 5-cm spot spacing) T-LiDAR scans collected on the Nevada Test Site at
Yucca Flat at a crater created by an underground nuclear test. The analysis identifies and maps centimeter-level fractures
and faults in and near the crater. The level of detail of the T-LiDAR-generated fault and fracture database enhances
existing fracture maps. The snow-volume calculation example is a differential analysis of three T-LiDAR surveys at the U.C.
Berkeley Central Sierra Snow Lab between March and June 2004. The surveys were aligned and differenced to calculate
spatially varying snow volumes. These volumes were combined with water-density measurements to estimate the total water
volume. The change detection and hazard-assessment example analyzes repeated T-LiDAR imagery following the June 1, 2005,
Laguna Beach Landslide to assess hillslope and structure stability of the slide and the immediate surroundings, and to
evaluate T-LiDAR as a hazards response tool. There were no land-surface changes within the landslide after the initial
T-LiDAR survey (10 to 21 days after the event) other than minor small-scale readjustments, property recovery efforts, and
monitoring within the landslide. T-LiDAR provided direct measurements for the full surrounding region and confirmed that
many of the nearby homes were not moving during this time period and could be reinhabited.
DE: 1209 Tectonic deformation (6924)
DE: 1294 Instruments and techniques
DE: 1863 Snow and ice (0736, 0738, 0776, 1827)
DE: 8010 Fractures and faults
DE: 8094 Instruments and techniques
SC: Geodesy [G]
MN: Fall Meeting 2005