Research Article
Surface Soil Moisture Estimation Using a Neural Network Model in Bare Land and Vegetated Areas
Table 3
The results for BPNN in four groups respective to the pixels land surface feature values.
| Elevation ≤ 4500 m | 4500 m < Elevation ≤ 4600 m | 4600 m < Elevation ≤ 4700 m | 4700 m < Elevation | R | r | r | r | 0.9197 | 0.9082 | 0.8552 | 0.8186 |
| Slope ≤ 3.5° | 3.5° < Slope ≤ 5.5° | 5.5° < Slope ≤ 9° | 9° < Slope | r | r | r | r | 0.9283 | 0.8992 | 0.8138 | 0.7513 |
| North aspect | East aspect | South aspect | West aspect | r | r | r | r | 0.6972 | 0.8937 | 0.9395 | 0.8718 |
| NDVI ≤ 0.25 | 0.25 < NDVI ≤ 0.40 | 0.40 < NDVI ≤ 0.55 | 0.55 < NDVI | R | R | R | R | 0.8724 | 0.8801 | 0.8916 | 0.8786 |
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