Abstract
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.
Highlights
To allow data from the Sentinel-3 Sea and Land Surface Temperature Radiometer (SLSTR) instruments to be used for scientific applications, where data from multiple sensors are used, for example in climate applications, it is important that the traceability chain of the data be fully documented
For this paper we have applied metrological principles to build up the uncertainty model of the SLSTR Level-1 data for the thermal infrared channels based on the pre-launch calibration and characterisation data, and the measured on-orbit performances
The design of SLSTR is such that the primary sources of uncertainty are the radiances from the on-board calibration blackbodies which are traced to their physical temperature as measured by the precision PRTs
Summary
The processing of raw satellite data (Level-0 data) to radiometrically calibrated and geo-referenced data products (Level-1 data) involves a number of stages and relies on several auxiliary data files (ADFs) that contain calibration coefficients and tables used for converting digital counts to physical quantities [2]. These coefficients are derived from characterization measurements of different components of the instrument system. 0.1 mbined expanded Uncertainty (k Centre = 3) ISRF Band
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