Data reduction and interpolation for visualizing 3D soil-quality data

Sampling and analysis of subsurface contaminants comprise the first steps toward environmental remediation of hazardous spills. We have developed software tools to support the analysis phase, using three different schemes for interpolating scattered 3D soil-quality data onto a grid suitable for viewing in an interactive visualization system. A good interpolation scheme is one that respects the distribution of the original data. We find that the original data can be decimated by up to seventy percent while exhibiting graceful degradation in quality. A prototype software system is being deployed to allow technicians to visually determine, while in the field with their monitoring equipment, where the highest concentrations of contaminants lie. The system is now in use by the U.S. Army Corps of Engineers.