Sentinel-2
Benchmarks
| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Image Completion | Sentinel-2 T33TUL (test) | PSNR38.1 | 28 | |
| Image Completion | Sentinel-2 T32TQR (test) | PSNR36.971 | 28 | |
| Image Completion | Sentinel-2 T30UYV (test) | PSNR37.077 | 28 | |
| Super-resolution | Sentinel-2 (val) | PSNR34.95 | 20 | |
| Vegetation Classification | Sentinel-2 Serrated Tussock | OA68 | 12 | |
| Reconstruction | Sentinel-2 L1C (test) | rL14.214 | 9 | |
| Oil palm detection | Sentinel-2 Indonesia 2024 | F1 Score62 | 7 | |
| Oil palm detection | Sentinel-2 Indonesia 2022 | F1 Score64 | 7 | |
| Oil palm detection | Sentinel-2 Indonesia 2020 | F1 Score69 | 7 | |
| Crop Type Classification | Sentinel-2 Crop Type Dataset | F1 Score83 | 7 | |
| Management system classification | Sentinel-2 IACS reference (test) | F1 Score83 | 7 | |
| Spatiotemporal Forecasting | Sentinel-2 (test) | L1 Loss0.0117 | 7 | |
| Remote Sensing Image Classification | Sentinel-2 benchmark suite | Rank1.6 | 7 | |
| European crop classification | Sentinel-2 | Excess Risk8.7 | 6 | |
| Super-resolution | Sentinel-2 | Model Parameters1.02 | 6 | |
| Super-Resolution | Sentinel-2 200 × 200 pixels | Latency (ms/tile)90 | 5 | |
| Semantic Segmentation | Sentinel-2 Farmland (test) | Jaccard Score63.46 | 4 | |
| Super-Resolution | Sentinel-2 Simulated (test) | B5 NRMSE0.012 | 4 | |
| Optical satellite imagery reconstruction | Sentinel-2 RGB (test) | nMAE0.41 | 4 | |
| Optical satellite imagery reconstruction | Sentinel-2 L2A (test) | nMAE21.583 | 4 | |
| Time Series Reconstruction | Sentinel-2 Cropland | MAE0.016 | 3 | |
| Time Series Reconstruction | Sentinel-2 Forest | MAE0.007 | 3 | |
| NO2 prediction | Sentinel-2 (val) | MSE (µg/m³)97 | 3 | |
| Clustering | Sentinel 2 ground truth data (30 rock samples) | Accuracy90 | 3 | |
| Soil Moisture Estimation | Sentinel-2+meteo+depth (date-grouped sliding-window) | R20.93 | 2 |
Showing 25 of 27 rows