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Sea Surface Remote Sensing Using GNSS-Reflectometry: Oil Spill Detection And Wind Field Retrieval - Tapa blanda
Sinopsis
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.
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Reseña del editor
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.
Biografía del autor
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.
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- EditorialLAP LAMBERT Academic Publishing
- Año de publicación2014
- ISBN 10 3659587877
- ISBN 13 9783659587870
- EncuadernaciónTapa blanda
- IdiomaInglés
- Número de páginas100
- Contacto del fabricanteno disponible
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Sea Surface Remote Sensing Using GNSS-Reflectometry
Publicado por
LAP LAMBERT Academic Publishing Sep 2014, 2014
ISBN 10: 3659587877
ISBN 13: 9783659587870
Nuevo
Taschenbuch
Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
Calificación del vendedor: 5 de 5 estrellas
Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 100 pp. Englisch. Nº de ref. del artículo: 9783659587870
Cantidad disponible: 2 disponibles
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Sea Surface Remote Sensing Using GNSS-Reflectometry
Publicado por
LAP LAMBERT Academic Publishing, 2014
ISBN 10: 3659587877
ISBN 13: 9783659587870
Nuevo
Tapa blanda
Librería: moluna, Greven, Alemania
Calificación del vendedor: 5 de 5 estrellas
Condición: New. Nº de ref. del artículo: 5166862
Cantidad disponible: Más de 20 disponibles
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Sea Surface Remote Sensing Using GNSS-Reflectometry : Oil Spill Detection And Wind Field Retrieval
Publicado por
LAP LAMBERT Academic Publishing, 2014
ISBN 10: 3659587877
ISBN 13: 9783659587870
Nuevo
Taschenbuch
Librería: AHA-BUCH GmbH, Einbeck, Alemania
Calificación del vendedor: 5 de 5 estrellas
Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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. Nº de ref. del artículo: 9783659587870
Cantidad disponible: 1 disponibles
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Sea Surface Remote Sensing Using GNSS-Reflectometry
Publicado por
LAP LAMBERT Academic Publishing Sep 2014, 2014
ISBN 10: 3659587877
ISBN 13: 9783659587870
Nuevo
Taschenbuch
Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemania
Calificación del vendedor: 5 de 5 estrellas
Taschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -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.Books on Demand GmbH, Überseering 33, 22297 Hamburg 100 pp. Englisch. Nº de ref. del artículo: 9783659587870
Cantidad disponible: 1 disponibles
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Sea Surface Remote Sensing Using GNSS-Reflectometry: Oil Spill Detection And Wind Field Retrieval
Publicado por
LAP LAMBERT Academic Publishing, 2014
ISBN 10: 3659587877
ISBN 13: 9783659587870
Nuevo
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Librería: dsmbooks, Liverpool, Reino Unido
Calificación del vendedor: 4 de 5 estrellas
paperback. Condición: New. New. book. Nº de ref. del artículo: D8S0-3-M-3659587877-6
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