Please use this identifier to cite or link to this item: https://hdl.handle.net/11681/4110
Title: Defining 3-D geologic architecture and soil variability for sensor simulations
Authors: Haugen, Benjamin D.
Broadfoot, Seth W.
Wakeley, Lillian D.
Roig-Silva, Carla
Bourne, Scott G.
Talbot, Cary A.
Keywords: Three-dimensional imaging
Soils--Properties--Computer simulation
Publisher: Geotechnical and Structures Laboratory (U.S.)
Engineer Research and Development Center (U.S.)
Series/Report no.: Technical Note (Geo-environmental Tactical Sensor Simulation Program (U.S.)) ; 11-1.
Abstract: Purpose: The response of sensors used to counter munitions threats is controlled by soils properties in the subsurface. Modeling to support force protection requires realistic representations of the distribution of near-surface soil properties in three dimensions (3-D), in addition to realistic looking surface features. Traditional statistical methods of distributing soil types and soil data in 3-D cannot be used on limited field data sets. We developed a process to generate geologically based data sets for 3-D modeling. The process requires remotely sensed data and published or unpublished regional geologic information. These data are used to define a regional geologic architecture, which is the size, shape, and arrangement of soil features attributable to the geologic origin of soils in an area. The process results in derived data sets that do not recreate the subsurface conditions of a specific site, but instead generate multiple realizations of technically defensible soil properties. Similar derived data sets for other regions can be used to predict the distribution of soil properties in areas for which ground-based data are minimal or of poor quality, and in denied areas for which remotely sensed data are the only data available.
Description: Technical Note
URI: http://hdl.handle.net/11681/4110
Appears in Collections:Technical Note

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