Using the EM38DD Soil Sensor to Delineate Clay Lenses in a Sandy Forest Soil
L. Cockxa,*,
M. Van Meirvennea and
B. De Vosb
a Dep. of Soil Management and Soil Care, Ghent Univ., Coupure 653, 9000 Gent, Belgium b Research Institute for Nature and Forest, Gaverstraat 4, 9500 Geraardsbergen, Belgium
Fig. 1. Point ordinary kriging maps of electrical conductivity (a) using the horizontal orientation (EC_h, mS m1) with measurement locations of EM38DD (dots) and (b) using the vertical orientation (EC_v, mS m1) with locations of texture samples (squares), and (c) the profile ratio (PR). (Metric Lambert coordinates on x and y axes.)
Fig. 3. (a) Fuzziness performance index (FPI) and normalized classification entropy (NCE) as a function of the number of classes, and (b) map of fuzzy classification of the profile ratio into five classes.
Fig. 4. Prediction of the clay lens according to (a) the fuzzy-k-means reclassification and (b) the indicator kriging probability map showing the probability that the profile ratio is 0.81.
Fig. 6. (a) The measure of the harmonic mean of precision and recall weighted at 0.5 (F0.5) in function of probability thresholds and (b) classification of the indicator kriging probability map (with a probability threshold of 0.50).
Fig. 7. (a) Scatterplot of electrical conductivity in the vertical orientation (EC_v) vs. the depth of the clay lens (Dc), and (b) the depth of the textural discontinuity (clay lens in meters below the surface and metric Lambert coordinates on x and y axes).