On the assessment of SMOS salinity retrieval by using support vector regression (SVR)

Sabia, Roberto and Marconcini, Mattia and Fernández-Prieto, Diego and Portabella, Marcos (2003) On the assessment of SMOS salinity retrieval by using support vector regression (SVR). IGARSS 2013, 21-26 Jul 2013, Melbourne, Australia.

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Item URL in elib:

https://elib.dlr.de/83387/

Document Type:

Conference or Workshop Item (Paper, Poster)

Title:

On the assessment of SMOS salinity retrieval by using support vector regression (SVR)

Authors:

Authors	Institution or Email of Authors	Authors ORCID iD
Sabia, Roberto	European Space Agency, ESA-ESRIN, Frascati, Italy	UNSPECIFIED
Marconcini, Mattia	Mattia.Marconcini (at) dlr.de	UNSPECIFIED
Fernández-Prieto, Diego	European Space Agency, ESA-ESRIN, Frascati, Italy	UNSPECIFIED
Portabella, Marcos	Barcelona Expert Centre, ICM-CSIC, Barcelona, Spain	UNSPECIFIED

Date:

July 2003

Refereed publication:

Open Access:

Gold Open Access:

In SCOPUS:

In ISI Web of Science:

Page Range:

pp. 1-4

Status:

Published

Keywords:

SMOS, Ocean Salinity, Regression, Support Vector Machines

Event Title:

IGARSS 2013

Event Location:

Melbourne, Australia

Event Type:

international Conference

Event Dates:

21-26 Jul 2013

Organizer:

IEEE

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 13:36

Last Modified:

17 Jul 2013 13:36

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