DocumentCode :
3689958
Title :
Operational cloud screening service for Sentinel-2 image time series
Author :
Luis Gómez-Chova;Julia Amorós-López;Antonio Ruiz-Verdú;Jordi Muñoz-Marí;Gustau Camps-Vails
Author_Institution :
Image Processing Laboratory (IPL), University of Valencia, Spain
fYear :
2015
fDate :
7/1/2015 12:00:00 AM
Firstpage :
334
Lastpage :
337
Abstract :
This paper deals with the development and implementation of a cloud screening algorithm for image time series, with the focus on the forthcoming Sentinel-2 satellites to be launched under the ESA Copernicus Programme. The proposed methodology is based on kernel ridge regression and exploits the temporal information to detect anomalous changes that correspond to cloud covers. The huge data volumes to be processed when dealing with high temporal, spatial, and spectral resolution datasets motivate the implementation of the algorithm within distributed computer resources. In consequence, an operational cloud screening service has been specifically designed and implemented in the frame of the Sentinels Synergy Framework (SenSyF). The effectiveness of the proposed method is successfully illustrated using a time series dataset with a 5-day revisit derived from SPOT-4 at high resolution, which has been collected by ESA in preparation for the exploitation of the Sentinel-2 mission.
Keywords :
"Clouds","Time series analysis","Computational modeling","Cloud computing","Satellites","Training","Kernel"
Publisher :
ieee
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2015 IEEE International
ISSN :
2153-6996
Electronic_ISBN :
2153-7003
Type :
conf
DOI :
10.1109/IGARSS.2015.7325768
Filename :
7325768
Link To Document :
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