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.

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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:

Authors	Institution or Email of Authors	Author's ORCID iD
Katagis, Thomas	European Space Agency, ESRIN, Frascati, Rome, Italy	UNSPECIFIED
Fernández-Prieto, Diego	European Space Agency, ESRIN, Frascati, Rome, Italy	UNSPECIFIED
Marconcini, Mattia	Mattia.Marconcini (at) dlr.de	UNSPECIFIED
Sabia, Roberto	European Space Agency, ESRIN, Frascati, Rome, Italy	UNSPECIFIED
Martinez, Justino	Institut de Ciències del Mar – CSIC, Barcelona, Spain	UNSPECIFIED

Date:

2013

Refereed publication:

Open Access:

Gold Open Access:

In SCOPUS:

In ISI Web of Science:

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 - Earth Observation

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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