Research Article

Digital Mapping of Soil Drainage Classes Using Multitemporal RADARSAT-1 and ASTER Images and Soil Survey Data

Table 6

Variables included in the drainage classification model using a forward stepwise discriminant analysis for different land use types (LUT).

Variables in the modelWilks’ LambdaF to removeP value (1−R−Sqr.)

LUT = N1 (bare soils); n training = 59
 NDVI0.612.970.030.05
 05/05/03 S2a (t1)0.551.620.180.21
 05/05/10 S1a (t2)0.551.470.230.16
 05/06/10 S2d (t5)0.531.130.350.10
Total0.492.000.01

LUT = N2 (bare soil with sparse vegetation); n training = 24
 NDII0.457.680.010.55
 05/05/03 S2a (t1)0.240.650.540.29
 05/06/10 S2d (t5)0.416.370.010.66
 05/05/10 S1a (t2)0.375.110.020.54
 05/05/24 S3d (t3)0.323.320.060.26
 NDVI0.261.310.300.23
Total0.222.810.01

LUT = P (pasture and forage); n training = 96
 NDVI0.938.390.000.00
 05/05/27 S2a (t4)0.792.290.080.00
Total0.735.17<0.01

LUT = C (emerged crops); n training = 22
 05/05/27 S2a (t4)0.572.930.080.42
 05/05/24 S3d (t3)0.481.210.330.07
 NDWI0.511.770.200.00
 05/05/10 S1a (t2)0.481.190.330.45
Total0.412.100.07

LUT = F (forest); n training = 86
 NDVI0.846.740.000.11
 05/05/03 S2a (t1)0.681.600.180.08
 05/05/27 S2a (t4)0.671.410.240.10
 05/05/10 S1a (t2)0.661.050.390.08
Total0.622.47<0.01

LUT = H (wetland); n training = 40
 05/06/10 S2d (t5)0.664.170.020.03
 NDVI0.653.690.040.03
 05/05/24 S3d (t3)0.571.290.290.04
 05/05/27 S2a (t4)0.571.110.340.02
Total0.532.15<0.01