Data
Processing :
Combining data through color compositing
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A GIS / remote sensing method known as color compositing can be employed to visualize multiple geophysical data sets simultaneously. One advantage is that it allows relationships, commonalities, and differences between the various sensing techniques to be recognized. In addition, different anomalies detected by the various methods can be complementary, as when resistivity shows the floor of a house due to a soil change while magnetometry reveals interior features like hearths.
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Interpretation Interpretation is straightforward, but requires familiarity with the RGB color model and a little practice. Black represents low measurements in all three inputs while white points to parallel high measurements on all three. Dominance of a primary color means that only that input contributes. An equal contribution of all three primaries produces a gray with brightness determined by their magnitude; unequal contributions result in other colors. The following key presents significant combinations.
Click here to see an RGB animation (Data source: Whistling Elk Village, SD. Each data set has been pre-processed.) |
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Contribution
by: Kenneth
L. Kvamme, Archeo-Imaging Lab, University of Arkansas