The U.S. Army Engineer Research and Development Center (ERDC) developed a near-surface computational testbed
(CTB) for modeling geo-environments. This modeling capability is used to predict and improve the performance of
current and future-force sensor systems for surface and near-surface threat detection for a wide range of geoenvironments.
The CTB is a suite of integrated models and tools used to approximately replicate geo-physical processes
such as radiometry, meteorology, moisture transport, and thermal transport that influence the resultant signatures of both
natural and man-made materials, as perceived by the sensors. The CTB is designed within a High Performance
Computing (HPC) framework to accommodate the size and complexity of the virtual environments required for
analyzing and quantifying sensor performance. Specifically, as a rule-of-thumb, the size of the scene should encompass
an area that is at a minimum, the size of the spatial coverage of the sensor. This HPC capability allows the CTB to
replicate geophysical processes and subsurface heterogeneity with high levels of realism and to provide new insight into
identifying the geophysical processes and environmental factors that significantly affect the signatures sensed by
multispectral imaging, near-infrared, mid-wave infrared, long-wave infrared, and ground penetrating radar sensors.
Additionally, this effort is helping to quantify the performance and optimal time-of-use for sensors to detect threats
within highly heterogeneous geo-environments by reducing false alarms from automated target recognition algorithms.