Customer: Centre National d’Etudes Spatiales (CNES)
Programme: DTQTIS
Supply Chain: CNES > CS Group SPACE
Context
CS Group responsabilities for Uncertainty assessment of the Deserts calibration for SENTINEL3 sensors are as follows:

The features are as follows:
- Adaptation of an existing tool (R&T CNES) to the SENTINEL3 case
- Analysis of the existing situation (code & A.T.B.D.) => proposal for improvements and corrections
- Development / Testing of improvements
- Quantification of standard uncertainties provided as input to the code (BRDF, interpolation, radiative transfer, radiometry)
- Application to the case of calibration of OLCI and SLSTR sensors
- Extension for use with SENTINEL2 (To be finalized)
Project implementation
The project objectives are as follows:
- Identify and quantify the different sources of uncertainty in the Deserts calibration method. Application to S3.
The processes for carrying out the project are:
- Bibliography, Code analysis/improvements, Development, Validation, Real data application, Reports
Technical characteristics
The solution key points are as follows:
The main technologies used in this project are:
| Domain |
Technology(ies) |
| Programming language(s) |
Python, IDL, KSH |
| Main COTS library(ies) |
MUSCLE, SOS-ABS, SMAC |