DocumentCode :
576127
Title :
Multi-resolution data assimilation for missing data interpolation in geophysical sequences
Author :
Ba, Sileye ; Chapron, Bertrand ; Fablet, Ronan
Author_Institution :
Lab.-STICC, Univ. Eur. de Bretagne, Plouzane, France
fYear :
2012
fDate :
22-27 July 2012
Firstpage :
1010
Lastpage :
1013
Abstract :
To evaluate the proposed model we used SST and SSS observations. High resolution SST observations are taken from the METOP dataset and corresponding low resolution observations from the REMSS database. High and low resolution SSS observations are taken from the ESA/SMOS (European Space Agency/Soil Moisture and Ocean Salinity) database.
Keywords :
data assimilation; geophysical image processing; ocean temperature; oceanographic techniques; ESA/SMOS database; European Space Agency/Soil Moisture and Ocean Salinity; METOP dataset; REMSS database; geophysical sequences; high resolution SSS observations; high resolution SST observations; low resolution SSS observations; missing data interpolation; multiresolution data assimilation; Data assimilation; Data models; Image resolution; Interpolation; Ocean temperature; Satellites;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2012 IEEE International
Conference_Location :
Munich
ISSN :
2153-6996
Print_ISBN :
978-1-4673-1160-1
Electronic_ISBN :
2153-6996
Type :
conf
DOI :
10.1109/IGARSS.2012.6351231
Filename :
6351231
Link To Document :
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