CMIX II Processors
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Processors
| Processors | Organization | Metodology | Spatial resolution (m) | Temporality |
| CloudScore+ | Google LLC | Machine Learning | 10m for S2 and 30m for LS | Multi |
| CloudScoreCDF | Google LLC | Machine learning | 10m for S2 and 30m for LS | Multi |
| ConstellR | ConstellR GmbH | Machine Learning | 10m for S2 and 30m for LS | Mono |
| DeepCluster | VTT | Machine Learning | 10m for S2 and 30m for LS | Mono |
| EarthDaily | EarthDaily | 10m for S2 and 30m for LS | ||
| Fmask4.7 | University of Connecticut | 10m for S2 and 30m for LS | Mono | |
| Fmask5 | University of Connecticut | 10m for S2 and 30m for LS | Mono | |
| Force | Trier University | 10m for S2 and 30m for LS | Mono | |
| IdePix | Brockmann Consult GmbH | Spectral Based | 10m for S2 and 30m for LS | Mono |
| KappaMask | KappaZeta Ltd. | Machine Learning | 10m for S2 and 30m for LS | Mono |
| KPLabs_nnUNet | KPLabs | Machine Learning | 10m for S2 and 30m for LS | Mono |
| LANA | South Dakota State University | 10m for S2 and 30m for LS | Mono | |
| LaSRC | NASA GSFC / University of Maryland | Spectral Based | 10m for S2 and 30m for LS | Mono |
| LOS | VITO | Machine Learning | 10m for S2 and 30m for LS | Mono |
| MAGCMA | Magellium | Machine Learning | 10m for S2 and 30m for LS | Mono |
| MoCo | VTT | Machine Learning | 10m for S2 and 30m for LS | Mono |
| noClouds | GEOSYSTEMS GmbH | 10m for S2 and 30m for LS | Mono | |
| OneCloud | AIRBUS | 10m for S2 and 30m for LS | Mono | |
| Overland | AIRBUS | 10m for S2 and 30m for LS | Mono | |
| PACO | DLR | 20m for S2 and 30m for LS | Mono | |
| Sen2Cor | Telespazio France | 20m for S2 and 30m for LS | Mono | |
| Sen2Cor Prototype | Telespazio France | 20m for S2 and 30m for LS | Mono | |
| SEnSel | Alistair Francis | 10m for S2 and 30m for LS | Mono | |
| SIAC/ CNN cloud and shadow | University College London | 10m for S2 and 30m for LS | Mono | |
| UVDeepCloud | University of Valencia | 10m for S2 and 30m for LS | Mono |