Sea Surface Remote Sensing Using GNSS-Reflectometry: Oil Spill Detection And Wind Field Retrieval - Couverture souple

Li, Chen; Huang, Weimin

 
9783659587870: Sea Surface Remote Sensing Using GNSS-Reflectometry: Oil Spill Detection And Wind Field Retrieval
Couverture souple
ISBN 10 : 3659587877 ISBN 13 : 9783659587870
Editeur : LAP LAMBERT Academic Publishing, 2014

Synopsis

In this book, research for improving sea surface remote sensing using the Global Navigation Satellite System-Reflectometry (GNSS-R) signals is presented. Firstly, a method to enable the simulation of GNSS-R delay Doppler Map (DDM) of an oil slicked sea surfaces under general scenarios is proposed. The DDM of oil slicked sea surface under general scenarios is generated by combining the mean-square slope model for oil slicked/clean surfaces and the GNSS-R Zavorotny-Voronovich (Z-V) scattering model. Secondly, a technique to detect sea surface oil spills using reflections from Global Navigation Satellite System (GNSS) satellites is presented. This technique is implemented by compensating the distortion induced during the DDM deconvolution process of scattering coefficient retrieval and employing the spatial integration approach (SIA) to retrieve the scattering coefficients unambiguously using the DDMs obtained by two separate antenna beams. Lastly, a novel method is presented to retrieve sea surface wind speed and direction by fitting the two-dimensional simulated GNSS-R DDMs to measured data.

Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

Présentation de l'éditeur

In this book, research for improving sea surface remote sensing using the Global Navigation Satellite System-Reflectometry (GNSS-R) signals is presented. Firstly, a method to enable the simulation of GNSS-R delay Doppler Map (DDM) of an oil slicked sea surfaces under general scenarios is proposed. The DDM of oil slicked sea surface under general scenarios is generated by combining the mean-square slope model for oil slicked/clean surfaces and the GNSS-R Zavorotny-Voronovich (Z-V) scattering model. Secondly, a technique to detect sea surface oil spills using reflections from Global Navigation Satellite System (GNSS) satellites is presented. This technique is implemented by compensating the distortion induced during the DDM deconvolution process of scattering coefficient retrieval and employing the spatial integration approach (SIA) to retrieve the scattering coefficients unambiguously using the DDMs obtained by two separate antenna beams. Lastly, a novel method is presented to retrieve sea surface wind speed and direction by fitting the two-dimensional simulated GNSS-R DDMs to measured data.

Biographie de l'auteur

Chen Li was born in Qingdao, Shandong, China. He received the M.Eng. degree in electrical engineering from Memorial University of Newfoundland (MUN), St. John’s, NL, Canada, in 2014. His research interests include sea surface oil spill detection and ocean wind field retrieval using GNSS-R.

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

Éditeur
LAP LAMBERT Academic Publishing
Date d'édition
2014
Langue
anglais
ISBN 10 
3659587877
ISBN 13 
9783659587870
Reliure
Broché
Nombre de pages
100
Coordonnées du fabricant
non disponible
Personne responsable
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