C2RCC S2-MSI Processing Parameters

Sentinel-2 MSI Processing Parameters

• Valid-pixel expression
  The arithmetic expression defines the pixels which are valid for processing. Pixels which are not valid will be marked as no-data in the target product.
• Salinity
  The value used as water salinity for the scene.
• Temperature
  The value used as water temperature for the scene.
• Ozone
  The value used as ozone if not provided by auxiliary data
• Air Pressure
  The surface air pressure at sea level if not provided by auxiliary data
• Elevation
  The value used as elevation for scene.
• TSM factor
  Conversion factor bpart. (TSM = TSMfac * iop_btot^TSMexp)
• TSM exponent
  Conversion factor bwit. (TSM = TSMfac * iop_btot^TSMexp)
• CHL exponent
  Chlorophyll exponent (CHL = iop_apig^CHLexp * CHLfac)
• CHL factor
  Chlorophyll factor (CHL = iop_apig^CHLexp * CHLfac)
• Threshold rtosa OOS
  Threshold for out of scope of nn training dataset flag for gas corrected top-of-atmosphere reflectances
• Threshold AC reflectances OOS
  Threshold for out of scope of nn training dataset flag for atmospherically corrected reflectances
• Threshold for cloud flag on down transmittance @865
  Threshold for cloud test based on downwelling transmittance @865.
• Atmospheric aux data path
  Path to the atmospheric auxiliary data directory. Use either this or the specified products on the I/O Parameters (ozone, air pressure) tab. If the auxiliary data is not available at this path, the data will automatically be downloaded.
• Alternative NN Path
  Path to an alternative set of neuronal nets. Use this to replace the standard set of neuronal nets. For MSI there exits a neural net where ranges of parameters was extended to moderate-to-extreme cases (C2X-Nets). However, this is a parameter which should only used during the development of new neural nets.
• Set of neural nets.
  On of the pre-defined sets of neural nets can be selected. Currently you can select between three different sets.

  Name	Description
  C2RCC-Nets	Standard NNs preferably to be used for eutrophic to mesotrophic water types
  C2X-Nets	Special NNs for high concentrations of suspended material and chlorophyll concentration
  C2X-COMPLEX-Nets	Special NNs for optically complex water types, preferably to be used for inland waters.

• Output AC reflectances as rrs instead of rhow
  Write remote sensing reflectances instead of water leaving reflectances.
• Derive water reflectance from path radiance and transmittance
  Alternative way of calculating water reflectance. Still experimental.
• Output gas corrected TOSA reflectances
  Can be enabled to include the TOSA reflectances in the target product.
• Output TOA reflectances
  Add TOA reflectances to the target product.
• Output gas corrected TOSA reflectances
  Add TOSA reflectances to the target product.
• Output gas corrected TOSA reflectances of auto nn
  Add TOSA reflectances of the autoassociative neural net to the target product.
• Output path radiance reflectances
  Add path radiance reflectances to the target product
• Output downward transmittance
  Add downward transmittance to the target product
• Output upward transmittance
  Add upward transmittance to the target product
• Output atmospherically corrected angular dependent reflectances
  Add atmospherically corrected angular dependent reflectances to the target product
• Output normalized water leaving reflectances
  Add normalized water leaving reflectances to the target product
• Output out of scope values
  Add out of scope to the target product
• Output irradiance attenuation coefficients
  Add irradiance attenuation coefficients to the target product
• Output uncertainties
  Add uncertainties to the target product