Articles | Volume 13, issue 3
Research article
10 Mar 2020
Research article |  | 10 Mar 2020

Automatic quality control of the Meteosat First Generation measurements

Freek Liefhebber, Sarah Lammens, Paul W. G. Brussee, André Bos, Viju O. John, Frank Rüthrich, Jacobus Onderwaater, Michael G. Grant, and Jörg Schulz


Interactive discussion

Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision
AR by Andre Bos on behalf of the Authors (29 Nov 2019)  Author's response    Manuscript
ED: Publish subject to minor revisions (review by editor) (03 Dec 2019) by Andrew Sayer
AR by Andre Bos on behalf of the Authors (19 Dec 2019)  Author's response    Manuscript
ED: Publish as is (06 Jan 2020) by Andrew Sayer

Post-review adjustments

AA: Author's adjustment | EA: Editor approval
AA by Andre Bos on behalf of the Authors (25 Feb 2020)   Author's adjustment  
EA: Adjustments approved (25 Feb 2020) by Andrew Sayer
Short summary
The paper addresses the need for automatic quality control of a whole series of Earth observation (EO) time series extending a period of over 40 years. Such a dataset is valuable and may provide important information about trends related to geo-physical processes. Furthermore, as the dataset is that large, there is a need to completely automate the processes, as otherwise the effort would become impracticable. The result is a system with a high probability of detection and low false alarm rate.