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, 2013-04-07 - 2013-04-12, 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:

Authors	Institution or Email of Authors	Author's ORCID iD	ORCID Put Code
Katagis, Thomas	European Space Agency, ESRIN, Frascati, Rome, Italy	UNSPECIFIED	UNSPECIFIED
Fernández-Prieto, Diego	European Space Agency, ESRIN, Frascati, Rome, Italy	UNSPECIFIED	UNSPECIFIED
Marconcini, Mattia	UNSPECIFIED	https://orcid.org/0000-0002-5042-5176	UNSPECIFIED
Sabia, Roberto	European Space Agency, ESRIN, Frascati, Rome, Italy	UNSPECIFIED	UNSPECIFIED
Martinez, Justino	Institut de Ciències del Mar – CSIC, Barcelona, Spain	UNSPECIFIED	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 Start Date:

7 April 2013

Event End Date:

12 April 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:

24 Apr 2024 19:49

Repository Staff Only: item control page