Interpretation Of Hybrid Data For Characterization Of Shallow Landfills

New Mexico State University has been actively developing a pre-commercial public domain software<br>package for analyzing and interpreting the data which arises from site surveys that can be performed with<br>field survey systems. The Multi-sensor Analysis Program for Environmental Restoration, MAPER, allows<br>analysis of multiple data types, and yields an optimal estimate of the distribution of subsurface materials<br>at a site. Researchers at New Mexico State University analyze data acquired by public and private sector<br>collaborators to determine the subsurface distribution of buried waste in landfills. A central aspect of the<br>effort is to achieve sensor data fusion, by taking data available from multiple sensing technologies and using<br>it to provide a comprehensive characterization of a buried waste site. The MAPER software modules have<br>recently been used in the analysis of geomagnetic anomaly detection (GAD) and ground penetrating radar<br>(GPR) data obtained at several DOE waste sites.<br>In this article, we review the mathematical approach that is being used in the current development of<br>the MAPER software, present some preliminary results that have been obtained with a research version of<br>the software, and discuss our plans for converting MAPER from an academic research tool into a suite of<br>analysis programs and modules available for public and private sector use. The development of the MAPER<br>concept has proceeded from the very beginning with the understanding that the ultimate goal of the research<br>program was to eventually arrive at a set of routines appropriate for field application.