New Developments for the Operational Data Quality Control within the EnMAP Ground Segment

Abstract

For all Earth Observation missions, and in particular for novel imaging spectrometer missions like EnMAP, it is of high importance to provide well calibrated and validated data products. This is also underpinned by the Quality Assurance Framework for Earth Observation (QA4EO) of the Committee on Earth Observation Satellites (CEOS), which proposes that “Data and derived products shall have associated with them a fully traceable indicator of their quality” Within this presentation, new methodological developments for the operational data quality control are presented which were established within the EnMAP Ground Segment in context of the DeltaCDR completed in Mid 2016. Procedures within the automated processing chain allow for the generation of data quality information for every processed scene. This information is addressing radiometric and geometric scene properties as well as atmospheric properties, and supportsadditionalData Quality Control, Calibration and Instrument Monitoring activities. As an extension to the previous baseline, novel approaches are now included to check for radiometric artefacts in the datasets, as well as indicators for changes in the spectral response as well as spectral smile effects. These extensions, and in particular the automated generation and analysis of the „detector maps“ within the pre-processing chain are presented within this contribution. That is, for every Earth data take the bandwise column means of the uncalibrated L0 raw data, and of the radiometrically calibrated L1B at-sensor radiance are generated and automatically analysed. This workflow and details of this analysis and the procedures for checking the suitability of the scene are shown. In order to demonstrate the suitability and the limitations of the approach, results from the analysis of „real-world“ hyperspectral imagery from the airborne HySpex pushbroom scanner are also presented.