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Tropical Soils and Landmine Detection—An Approach for a Classification System

^a Leibniz Institute for Applied Geosciences, Stilleweg 2, D-30655 Hannover, Germany
^b Federal Inst. for Geosci. and Natural Resour., Stilleweg 2, D-30655 Hannover, Germany

View larger version (10K): [in this window] [in a new window]   Fig. 1. Box plots of the sample geochemistry. The boxes show the upper and lower quartiles while the bars in the center show the median. The whiskers extend to the most extreme data point, with a distance from the box of no more than 1.5 times the interquartile range.

View larger version (19K): [in this window] [in a new window]   Fig. 2. Histogram showing the measured susceptibilities. The pie chart in the center shows the proportion of measurements with respect to the four classes described in Table 2.

View larger version (15K): [in this window] [in a new window]   Fig. 3. Box plots of the susceptibilities. The boxes show the upper and lower quartiles while the bars in the center show the median. The whiskers extend to the most extreme data point, with a distance from the box of no more than 1.5 times the interquartile range.

View larger version (14K): [in this window] [in a new window]   Fig. 4. Scatter plot of susceptibilities for soils derived from all rock groups. The susceptibility is plotted against the degree of weathering.

View larger version (15K): [in this window] [in a new window]   Fig. 5. Individual scatter plots of soil susceptibilities according to rock groups. The susceptibility is plotted against the degree of weathering.

View larger version (12K): [in this window] [in a new window]   Fig. 6. Scatterplot of selected statistical parameters of the susceptibility distribution corresponding to the weathering classes of soils for two exemplary rock groups.