Traceability of the Sentinel-3 SLSTR Level-1 Infrared Radiometric Processing

Providing uncertainties in satellite datasets used for Earth observation can be a daunting prospect because of the many processing stages and input data required to convert raw detector counts to calibrated radiances. The Sea and Land Surface Temperature Radiometer (SLSTR) was designed to provide measurements of the Earth's surface for operational and climate applications. In this paper the authors describe the traceability chain and derivation of uncertainty estimates for the thermal infrared channel radiometry. Starting from the instrument model, the contributing input quantities are identified to build up an uncertainty effects tree. The characterisation of each input effect is described, and uncertainty estimates provided which are used to derive the combined uncertainties as a function of scene temperature. The SLSTR Level-1 data products provide uncertainty estimates for fully random effects (noise) and systematic effects that can be mapped for each image pixel, examples of which are shown.

Automated summary

This paper describes the uncertainty estimation process for the SLSTR thermal infrared channel radiometry, starting from the instrument model and identifying the input quantities that contribute to the calibrated data. The uncertainty estimates for fully random effects and systematic effects are provided in the Level-1 data products, which can be mapped for each image pixel.