User Guides - Sentinel-3-SLSTR - Radiometric Resolution - Sentinel Online
The nine Bands in VNIR/SWIR/TIR
The radiometric bands of SLSTR are presented in the table below:
Cloud screening, vegetation monitoring, aerosol
|VNIR||Solar Reflectance Bands||500|
|S2||659.47||19.25||NDVI, vegetation monitoring, aerosol|
NDVI, cloud flagging,Pixel co-registration
|S4||1374.80||20.80||Cirrus detection over land||SWIR|
loud clearing, ice, snow,vegetation monitoring
|S6||2255.70||50.15||Vegetation state and cloud clearing|
|S7||3742.00||398.00||SST, LST, Active fire||Thermal IR Ambient bands (200 K -320 K)||1000|
|S8||10854.00||776.00||SST, LST, Active fire|
|F1||3742.00||398.00||Active fire||Thermal IR fire emission bands|
Table 1: The radiometric bands of SLSTR. F1 and F2 (active Fire Bands) are based on the same detectors as S7 and S8 but with an increased dynamic range to prevent saturation over fires.
SLSTR Processing Baseline Timeline
Figure 1: SLSTR Processing Baseline Timeline
SLSTR Level-1 and Level-2 Processing Baseline
Processing Baseline 2.29 (Level-1) and 2.33 (Level-2)
A new Bayesian and probabilistic cloud detection has been implemented over sea (Bayesian) and land (probabilistic). Cloud detection is based on calculating a probability of clear-sky of each pixel based on the satellite observation, prior information about the atmosphere and surface conditions and the respective uncertainties in these variables.
Processing Baseline 2.17 (Level-1) and 2.18 (Level-2)
Level-2 LST Products
Land Surface Temperature (LST)
Fixes to the implementation of the retrieval algorithm and associated auxiliary data have been made. These include,
i) the across-track interpolation;
ii) the correct assignment of biome and fractional vegetation cover;
iii) Improvements to the noise estimation in the uncertainty budget.
Basic cloud screening
Significant improvements have been made in the basic cloud screening over land during daytimewith optimisation of the Visible Cloud Test.