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Sensor Performance, Products and Algorithms
The Sensor Performance, Products and Algorithms (SPPA) is the element of the ESA Earth Observation ground segment responsible and performing the following activities:
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Algorithm Development Developing and upgrading the data processing algorithms in order to meet mission requirements and user needs. |
Cal/Val Calibrating the sensors (through the update of on-board and on-ground configuration data) in order to meet product quality requirements. Validating the generated products assessing, by independent means, the quality of the generated EO data products. |
Routine Quality Control Monitoring routinely the status of the spacecraft (payload and platform) and to check if the derived products meet the quality requirements along mission life-time. The activities related to the SPPA constitute a long and continuous process involving a number of various actors with different competencies and objectives. |
News
Workshop - Uncertainties in Remote Sensing
29 September 2017
The Uncertainties in Remote Sensing workshop is scheduled to be held at ESA's centre for Earth Observation (ESRIN) in Frascati, Italy, on 24 and 25 October 2017.
Those wishing to attend the workshop are kindly requested to register by 16 October 2017.
The SMOS Newsletter July 2017 has been published and it is accessible here
Landsat 8 Thermal Infra-Red Scanner (TIRS) Anomaly
13 June 2017
Image quality issues have been detected on the ESA Landsat 8 TIRS products which systematically contaminate the Band 10 and Band 11 TIRS data, the OLI data remains unaffected. Discussions are ongoing with the view to reprocess the Landsat 8 data with the latest software and supporting data to recover the affected products. More information can be found at the Landsat 8 Product Anomalies webpage
ESA would like to inform that SMOS level 2 sea surface salinity products version v662 are now available to the users.
The main changes introduced in the user product v662 are:
- the replacement of sea surface salinity 1 field with the retrieved sea surface salinity based on an updated single roughness model and corrected for land-sea contamination effect
- the replacement of sea surface salinity 2 field with the retrieved sea surface salinity based on an updated single roughness model
- the replacement of sea surface salinity 3 field with the sea surface salinity anomaly (corrected for land-sea contamination) based on World Ocean Atlas climatology (WOA-2009)
