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Detecting Surface Changes from an Underground Explosion in Granite Using Unmanned Aerial System Photogrammetry [electronic resource].

Published:
Washington, D.C. : United States. National Nuclear Security Administration, 2017.
Oak Ridge, Tenn. : Distributed by the Office of Scientific and Technical Information, U.S. Dept. of Energy
Additional Creators:
Los Alamos National Laboratory, United States. National Nuclear Security Administration, and United States. Department of Energy. Office of Scientific and Technical Information
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Summary:
Efficient detection and high-fidelity quantification of surface changes resulting from underground activities are important national and global security efforts. In this investigation, a team performed field-based topographic characterization by gathering high-quality photographs at very low altitudes from an unmanned aerial system (UAS)-borne camera platform. The data collection occurred shortly before and after a controlled underground chemical explosion as part of the United States Department of Energy’s Source Physics Experiments (SPE-5) series. The high-resolution overlapping photographs were used to create 3D photogrammetric models of the site, which then served to map changes in the landscape down to 1-cm-scale. Separate models were created for two areas, herein referred to as the test table grid region and the nearfield grid region. The test table grid includes the region within ~40 m from surface ground zero, with photographs collected at a flight altitude of 8.5 m above ground level (AGL). The near-field grid area covered a broader area, 90–130 m from surface ground zero, and collected at a flight altitude of 22 m AGL. The photographs, processed using Agisoft Photoscan® in conjunction with 125 surveyed ground control point targets, yielded a 6-mm pixel-size digital elevation model (DEM) for the test table grid region. This provided the ≤3 cm resolution in the topographic data to map in fine detail a suite of features related to the underground explosion: uplift, subsidence, surface fractures, and morphological change detection. The near-field grid region data collection resulted in a 2-cm pixel-size DEM, enabling mapping of a broader range of features related to the explosion, including: uplift and subsidence, rock fall, and slope sloughing. This study represents one of the first works to constrain, both temporally and spatially, explosion-related surface damage using a UAS photogrammetric platform; these data will help to advance the science of underground explosion detection.
Report Numbers:
E 1.99:la--ur-16-29246
la--ur-16-29246
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Note:
Published through SciTech Connect.
08/19/2017.
"la--ur-16-29246"
Pure and Applied Geophysics ISSN 0033-4553 AM
Emily S. Schultz-Fellenz; Ryan T. Coppersmith; Aviva J. Sussman; Erika M. Swanson; James A. Cooley.
Funding Information:
AC52-06NA25396
View MARC record | catkey: 23775495