Crop Classification on USA 2020 (test)
96.37Overall AccuracyAlphaEarth_RF
Evaluation Results
| Method | Links | ||
|---|---|---|---|
| AlphaEarth_RFTraining Dataset=USA_2023, Evaluation Protocol=Cross-temporal transfer2025.09 | 96.37 | 96.81 | |
| AlphaEarth_MLPTraining Dataset=USA_2023, Evaluation Protocol=Cross-temporal transfer2025.09 | 96.34 | 96.74 | |
| CropNet_S1 + S2_AUGMTraining Dataset=USA_2023, Evaluation Protocol=Cross-temporal transfer, Input Source=Sentinel-1 + Sentinel-22025.09 | 93.22 | 93.82 | |
| CropNet_S2_AUGMTraining Dataset=USA_2023, Evaluation Protocol=Cross-temporal transfer, Input Source=Sentinel-22025.09 | 92.71 | 93.34 | |
| Presto_MLPTraining Dataset=USA_2023, Evaluation Protocol=Cross-temporal transfer2025.09 | 89.38 | 90.37 | |
| Presto_RFTraining Dataset=USA_2023, Evaluation Protocol=Cross-temporal transfer2025.09 | 87.68 | 88.31 |