Use of Airborne Hyperspectral Imagery to Map Soil Properties in Tilled Agricultural Fields

Figure 2

Comparison of observed analyte concentrations with values predicted using partial least squares (PLS) regression on reflectance spectra extracted from smoothed imagery to which a 3×3 low-pass filter had been applied, for (a) soil carbon, (b) silt, (c) iron, and (d) aluminum content. The field containing 41 sampling points that were left out for validation (Temple 1S) is depicted with solid circles.

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