Cloud Detection with Historical Geostationary Satellite Sensors for Climate Applications

Cloud Detection with Historical Geostationary Satellite Sensors for Climate Applications

Can we build stable Climate Data Records (CDRs) spanning several satellite generations? This study outlines how the ClOud Fractional Cover dataset from METeosat First and Second Generation (COMET) of the EUMETSAT Satellite Application Facility on Climate Monitoring (CM SAF) was created for the 25-ye...

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Bibliographic Details
Main Authors: Reto Stöckli, Jędrzej S. Bojanowski, Viju O. John, Anke Duguay-Tetzlaff, Quentin Bourgeois, Jörg Schulz, Rainer Hollmann
Format: Article
Language:English
Published: MDPI AG 2019-05-01
Series:Remote Sensing
Subjects:
geostationary satellite
cloud fractional cover
climate data record
decadal stability
diurnal cycle
Bayesian classifier
historical satellites
Online Access:https://www.mdpi.com/2072-4292/11/9/1052

Internet

https://www.mdpi.com/2072-4292/11/9/1052

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