| A hierarchical ML benchmark for Sentinels, with three task levels covering all major Sentinel missions. | |
| - level 1: preprocessing | |
| - [x] S2 cloud segmentation | |
| - [x] S3 cloud segmentation | |
| - level 2: base application | |
| - single label LULC classification | |
| - [x] S1 EuroSAT-SAR | |
| - [x] S2 EuroSAT-MS | |
| - multi label LULC classification | |
| - [x] S1 BigEarthNet-v2-SAR | |
| - [x] S2 BigEarthNet-v2-MS | |
| - [x] S3 LC100 | |
| - dense LULC segmentation | |
| - [x] S1 DFC2020-SAR | |
| - [x] S2 DFC2020-MS | |
| - [x] S3 LC100 | |
| - level 3: specialized application | |
| - [ ] S1 flood segmentation | |
| - [x] S2 local climate zone classification | |
| - [ ] S3 biomass regression | |
| - S5P air quality regression | |
| - [x] NO2 | |
| - [x] O3 |