Magnetic modeling and inversion routines that take advantage of recorded altitude or Z<br>values have followed up on the development of improved 3-dimensional positioning<br>technologies. Usually, this technique involves recording ground clearance or ellipsoid height<br>during the course of collecting routine profile data. Technologies include laser or radar<br>altimeters, DGPS heights, or laser and/or ultra-sonic positioning systems. Visualization of the<br>data, however, maintains a 2D approach using either profiles or grids. This is an obvious<br>limitation of 2D media such as paper and computer screens. Tools such as 3D surface maps are<br>often used to project gridded data into simulated 3D, but this is not the same thing as presenting<br>3D data. Processing of these data, however, actually takes a step backwards and is limited to 1D<br>tools. The noise reduction and interpretive capabilities derived from spatially correlating data<br>across lines is lost.<br>This paper presents a justification for 3D collection, processing and interpretation of data<br>for small, discrete objects such as drums, pipes and unexploded ordnance that are common to<br>many environmental surveys. In addition to traditional visualization techniques, the concept of<br>“gradient strings” and their utility in data analysis is introduced. While this paper focuses on<br>magnetic data, the basic principles are equally applicable to electromagnetic data.


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