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| Título: | On the assessment of SMOS salinity retrieval by using support vector regression (SVR) |
Autor: | Sabia, Roberto CSIC; Marconcini, Mattia; Katagis, Thomas; Fernández-Prieto, Diego; Portabella, Marcos CSIC ORCID | Fecha de publicación: | 23-jul-2013 | Editor: | Institute of Electrical and Electronics Engineers | Citación: | 2013 IEEE International Geoscience and Remote Sensing Symposium : Proceedings: 14059038 (2013) | Resumen: | A sounding of the capabilities of a novel salinity retrieval strategy by means of Support Vector Regression (SVR) has been performed. SMOS brightness temperatures measurements and additional auxiliary parameters have been co-located with salinity data collected by ARGO buoys, which represented the ground-truth to be matched by the algorithm. Salinity fields estimated by the SVR are in good agreement with the ground-truth, suggesting that the chosen approach can be promising, despite its robustness and versatility are under further assessment over wider areas and time lags, and in various combinations of SMOS features | Descripción: | IEEE International Geoscience and Remote Sensing Symposium (IGARSS): Remote Sensing for a Dynamic Earth, 21-26 July 2013, Melbourne, Australia | Versión del editor: | https://doi.org/10.1109/IGARSS.2013.6723085 | URI: | http://hdl.handle.net/10261/96423 | DOI: | 10.1109/IGARSS.2013.6723085 | ISBN: | 978-1-4799-1114-1 |
| Aparece en las colecciones: | (ICM) Libros y partes de libros |
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