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 model | Wilks’ Lambda | F to remove | P value | (1−R−Sqr.) |
| LUT = N1 (bare soils); n training = 59 | | | | | NDVI | 0.61 | 2.97 | 0.03 | 0.05 | 05/05/03 S2a (t1) | 0.55 | 1.62 | 0.18 | 0.21 | 05/05/10 S1a (t2) | 0.55 | 1.47 | 0.23 | 0.16 | 05/06/10 S2d (t5) | 0.53 | 1.13 | 0.35 | 0.10 | Total | 0.49 | 2.00 | 0.01 | |
| LUT = N2 (bare soil with sparse vegetation); n training = 24 | | | | | NDII | 0.45 | 7.68 | 0.01 | 0.55 | 05/05/03 S2a (t1) | 0.24 | 0.65 | 0.54 | 0.29 | 05/06/10 S2d (t5) | 0.41 | 6.37 | 0.01 | 0.66 | 05/05/10 S1a (t2) | 0.37 | 5.11 | 0.02 | 0.54 | 05/05/24 S3d (t3) | 0.32 | 3.32 | 0.06 | 0.26 | NDVI | 0.26 | 1.31 | 0.30 | 0.23 | Total | 0.22 | 2.81 | 0.01 | |
| LUT = P (pasture and forage); n training = 96 | | | | | NDVI | 0.93 | 8.39 | 0.00 | 0.00 | 05/05/27 S2a (t4) | 0.79 | 2.29 | 0.08 | 0.00 | Total | 0.73 | 5.17 | <0.01 | |
| LUT = C (emerged crops); n training = 22 | | | | | 05/05/27 S2a (t4) | 0.57 | 2.93 | 0.08 | 0.42 | 05/05/24 S3d (t3) | 0.48 | 1.21 | 0.33 | 0.07 | NDWI | 0.51 | 1.77 | 0.20 | 0.00 | 05/05/10 S1a (t2) | 0.48 | 1.19 | 0.33 | 0.45 | Total | 0.41 | 2.10 | 0.07 | |
| LUT = F (forest); n training = 86 | | | | | NDVI | 0.84 | 6.74 | 0.00 | 0.11 | 05/05/03 S2a (t1) | 0.68 | 1.60 | 0.18 | 0.08 | 05/05/27 S2a (t4) | 0.67 | 1.41 | 0.24 | 0.10 | 05/05/10 S1a (t2) | 0.66 | 1.05 | 0.39 | 0.08 | Total | 0.62 | 2.47 | <0.01 | |
| LUT = H (wetland); n training = 40 | | | | | 05/06/10 S2d (t5) | 0.66 | 4.17 | 0.02 | 0.03 | NDVI | 0.65 | 3.69 | 0.04 | 0.03 | 05/05/24 S3d (t3) | 0.57 | 1.29 | 0.29 | 0.04 | 05/05/27 S2a (t4) | 0.57 | 1.11 | 0.34 | 0.02 | Total | 0.53 | 2.15 | <0.01 | |
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