The OLCI Sentinel-3B data are based on ESA's processing baseline collection 001.
The vicarious calibration for S3B OLCI sensor used the ocean reflectance model-based approach.
This is the first NASA processing of the OLCI sensors. The file formats and
product suites will match those emplyed
in the R2014.0 multi-mission reprocessing.
The comparison of the S3B-OLCI time series for global deep water (>1000m) generated for the R2022 configuration to the corresponding Aqua-MODIS time series is shown below (left panels). The ratio of S3B-OLCI to Aqua-MODIS is also shown (right panels).
The comparison of the S3B-OLCI time series for global deep water (>1000m) generated for the R2022 configuration to the corresponding S3A-OLCI time series is shown below (left panels). The ratio of S3B-OLCI to S3A-OLCI is also shown (right panels).
Validation of the remote sensing reflectance (Rrs) was performed relative to all available match-ups from SeaBASS and the Aerosol Robotic Network - Ocean Color (AERONET-OC). Statistical analysis, scatter plots and frequency distribution comparisons of the satellite to in situ match-ups are provided below.
| Product Name | # | Mean Bias | Mean Absolute Error (MAE) | OLCI-S3B Range | In situ Range |
|---|---|---|---|---|---|
| Rrs412 | 91 | -0.00039 | 0.00115 | -0.00420, 0.00899 | 0.00017, 0.00923 |
| Rrs443 | 91 | -0.00005 | 0.00087 | -0.00252, 0.01144 | 0.00082, 0.01129 |
| Rrs490 | 91 | -0.00054 | 0.00086 | 0.00038, 0.01439 | 0.00188, 0.01565 |
| Rrs665 | 91 | -0.00020 | 0.00034 | -0.00024, 0.00696 | 0.00014, 0.00609 |
