Evaluation of Airborne Remote Sensing Techniques for Predicting the Distribution of Energetic Compounds on Impact Areas
Aubrey D. Magoun, (University of Louisiana at Monroe), email@example.com,
Mark Graves, (U.S. Army Engineering Research and Development Center), Mark.R.Graves@erdc.usace.army.mil, and
Linda P. Dove, (U.S. Army Engineering Research and Development Center), Linda.P.Dove@erdc.usace.army.mil
The characterization of impact area munitions constituents has typically employed traditional soil sampling approaches, such as stratified random techniques. These sampling approaches do not accurately account for the distribution of such contaminants over the landscape due to the distributed nature of explosive compound sources throughout impact areas, the highly localized distribution of contaminants surrounding these sources, and inaccurate records of historical target locations.
The purpose of this research was to utilize remote sensing and GIS technologies to assist in the development of enhanced sampling strategies for better predicting the landscape-scale distribution of energetic compounds and, if possible, to develop a predictive model defining contaminant source terms. Remotely sensed magnetometer and electromagnetic (EM) data, were used to thoroughly characterize metal content over a large impact area at Fort Ord, CA. This paper discusses the approaches used to develop an algorithm to better predict the landscape-scale distribution of these energetic compounds.