Crop Classification on USA 2017 (test)
95.52Overall AccuracyAlphaEarth_RF
Evaluation results
| Method | Links | ||
|---|---|---|---|
| AlphaEarth_RFTraining Dataset=USA_2023, Evaluation Protocol=Cross-temporal transfer2025.09 | 95.52 | 96.03 | |
| AlphaEarth_MLPTraining Dataset=USA_2023, Evaluation Protocol=Cross-temporal transfer2025.09 | 95.11 | 95.5 | |
| CropNet_S1 + S2_AUGMTraining Dataset=USA_2023, Evaluation Protocol=Cross-temporal transfer, Input Source=Sentinel-1 + Sentinel-22025.09 | 91.38 | 92.06 | |
| CropNet_S2_AUGMTraining Dataset=USA_2023, Evaluation Protocol=Cross-temporal transfer, Input Source=Sentinel-22025.09 | 90.85 | 91.51 | |
| Presto_MLPTraining Dataset=USA_2023, Evaluation Protocol=Cross-temporal transfer2025.09 | 87.11 | 88 | |
| Presto_RFTraining Dataset=USA_2023, Evaluation Protocol=Cross-temporal transfer2025.09 | 85.39 | 85.66 |