Research Article

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

Table 3

Partial least squares (PLS) model accuracy in predicting soil analyte concentrations1 for (a) the 269 calibration samples using repeated leave-one-out cross validation and (b) 46 validation samples from the field (Temple 1S) that had been left apart from the calibration. Results were derived using a first derivative gap 2 math pretreatment, using spectra derived from unsmoothed imagery (2.5 m2 pixel size) or from spatially smoothed imagery to which a low pass filter had been applied. See Section 2 for analyte descriptions. Units refer to analyte residual mean squared error (RMSE) values. Bold indicates sd/sepred >1.20.

Factors no.C%Sand%Silt%Clay%pHOM%K mg/kgCa mg/kgMg mg/kgMn mg/kgZn mg/kgFe mg/kgAl mg/kg
8910910104891081010

(a) 269 calibration samples collected from five agricultural fields
using unsmoothed imagery
   0.650.790.790.660.510.750.590.690.690.620.640.750.76
  RMSE0.197.96.92.20.40.489.5166.150.319.61.449.3104.7
using smoothed imagery
   0.640.800.800.680.580.770.610.710.710.670.670.780.81
  RMSE0.187.26.22.00.40.386.1151.845.517.81.243.889.0
(b) 46 validation samples collected from the remaining agricultural field (Temple 1S)
 using unsmoothed imagery
  2se pred0.209.07.32.40.50.4147.1178.151.427.51.252.9123.9
  3bias0.10−2.881.421.000.030.3424.9240.4531.843.230.452.12107.33
  bias/mean (pred)0.08−0.060.030.110.010.150.100.050.220.090.180.010.21
  4sd/se pred0.740.810.860.840.890.631.050.960.761.150.921.410.98
  using smoothed imagery
  se pred0.159.57.92.90.40.3154.9233.658.538.31.398.0170.4
  bias−0.10−0.87−0.660.95−0.25−0.13−23.06−2.46−2.07−0.380.10−5.2677.66
  bias/mean (pred)−0.08−0.02−0.020.10−0.05−0.06−0.100.00−0.02−0.010.04−0.030.14
  sd/se pred0.861.291.261.070.970.741.041.341.411.250.981.911.29

1Analytes that predicted poorly ( < 0.5) in the set of 315 samples (N, P, Cu, B, S, and P saturation) are not included here
2se pred: sd(observed-predicted)
3bias: mean(pred)-mean(obs)
4sd: standard deviation.