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SMOS salinity retrieval by using Support Vector Regression (SVR)

Katagis, Thomas and Fernández-Prieto, Diego and Marconcini, Mattia and Sabia, Roberto and Martinez, Justino (2013) SMOS salinity retrieval by using Support Vector Regression (SVR). EGU General Assembly 2013, 7-12 Apr 2013, Vienna, Austria.

Full text not available from this repository.


Item URL in elib:https://elib.dlr.de/83391/
Document Type:Conference or Workshop Item (Poster)
Title:SMOS salinity retrieval by using Support Vector Regression (SVR)
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Katagis, ThomasEuropean Space Agency, ESRIN, Frascati, Rome, ItalyUNSPECIFIED
Fernández-Prieto, DiegoEuropean Space Agency, ESRIN, Frascati, Rome, ItalyUNSPECIFIED
Marconcini, MattiaMattia.Marconcini (at) dlr.deUNSPECIFIED
Sabia, RobertoEuropean Space Agency, ESRIN, Frascati, Rome, ItalyUNSPECIFIED
Martinez, JustinoInstitut de Ciències del Mar – CSIC, Barcelona, SpainUNSPECIFIED
Date:2013
Refereed publication:No
Open Access:No
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Status:Published
Keywords:SMOS, Empirical Modelling, Support Vector Regression
Event Title:EGU General Assembly 2013
Event Location:Vienna, Austria
Event Type:international Conference
Event Dates:7-12 Apr 2013
Organizer:EGU
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Earth Observation
DLR - Research area:Raumfahrt
DLR - Program:R EO - Erdbeobachtung
DLR - Research theme (Project):R - Vorhaben Fernerkundung der Landoberfläche (old)
Location: Oberpfaffenhofen
Institutes and Institutions:German Remote Sensing Data Center > Land Surface
Deposited By: Marconcini, Mattia
Deposited On:17 Jul 2013 13:15
Last Modified:17 Jul 2013 13:15

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