| Dataset Name | SOTA Method | Metric | Trend | ||
|---|---|---|---|---|---|
| CDL (test) | MoCo Pre-training | Accuracy69.45 | 45 | 3mo ago | |
| NLCD (test) | MoCo Pre-training | Accuracy69.17 | 45 | 3mo ago | |
| Sen4Map (test) | Prithvi-EO 2.0-600M | Weighted F176.1 | 20 | 2mo ago | |
| SpectralEarth CORINE (test) | Spec. ViT-S | F1 Score78.67 | 18 | 1mo ago | |
| MUUFL Gulfport (test) | IFGNet | Overall Accuracy (OA)92.67 | 13 | 19d ago | |
| UC-Merced | CMID | Top-1 Accuracy99.48 | 13 | 22d ago | |
| Chesapeake Bay | User's Accuracy (UA)83.85 | 12 | 1mo ago | ||
| Berlin dataset | Accuracy (Forest)90.2 | 11 | 1mo ago | ||
| BigEarthNet 19 classes | Gemini Multi-Spectral CoT | F1 Score52.3 | 10 | 1mo ago | |
| EuroSAT | PIMC | Accuracy97.44 | 10 | 3mo ago | |
| Augsburg 10 train samples per class (test) | S2Fin | Overall Accuracy (OA)79.91 | 9 | 1mo ago | |
| NAIP 2016 (test) | MoCo-V2-Geo | Top-1 Accuracy58.23 | 8 | 3mo ago | |
| San Francisco L-band AIRSAR 1989 (test) | Bare Soil Accuracy86.74 | 7 | 2d ago | ||
| Landcover OOD (test) | ZIN | Accuracy66.06 | 6 | 3mo ago | |
| Landcover IID (test) | ERM | Accuracy76.58 | 6 | 3mo ago |
