CFOSAT Rotating Fan‐Beam Scatterometer Backscatter Measurement Processing

Abstract The China‐France Oceanography Satellite (CFOSAT) was successfully launched on October 29, 2018, which carries two innovative payloads, that is, the surface waves investigation and monitoring (SWIM) instrument and the rotating fan‐beam scatterometer (RFSCAT). CFOSAT scatterometer (CSCAT) is...

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Autores principales:	Risheng Yun, Xiaolong Dong, Jianqiang Liu, Wenming Lin, Di Zhu, Jianying Ma, Shuyan Lang, Zhisen Wang
Formato:	article
Lenguaje:	EN
Publicado:	American Geophysical Union (AGU) 2021
Materias:	CFOSAT scatterometer onboard signal processing backscatter coefficient noise adaptive estimation measurement accuracy Astronomy QB1-991 Geology QE1-996.5
Acceso en línea:	https://doaj.org/article/7b4bec31848842abb38f387443d20eb4
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spelling	oai:doaj.org-article:7b4bec31848842abb38f387443d20eb42021-11-23T21:03:08ZCFOSAT Rotating Fan‐Beam Scatterometer Backscatter Measurement Processing2333-508410.1029/2021EA001969https://doaj.org/article/7b4bec31848842abb38f387443d20eb42021-11-01T00:00:00Zhttps://doi.org/10.1029/2021EA001969https://doaj.org/toc/2333-5084Abstract The China‐France Oceanography Satellite (CFOSAT) was successfully launched on October 29, 2018, which carries two innovative payloads, that is, the surface waves investigation and monitoring (SWIM) instrument and the rotating fan‐beam scatterometer (RFSCAT). CFOSAT scatterometer (CSCAT) is dedicated to the monitoring of sea surface wind vectors and climate studies, but also for the applications over land and polar regions. CSCAT employs a “rotating fan‐beam” design rather than “pencil‐beam” approach and “fixed fan‐beam” approach adopted by the scatterometers in orbit before. In this paper, the data processing approach of CSCAT is described. The geolocation reference mapping model is employed in CSCAT slice geolocation. In noise processing, CSCAT adopts the method of weighted least squares polynomial surface fitting to conduct noise correction factor estimation adaptively. The attitude cube algorithm used for X integral factor computation is developed to obtain precise backscatter coefficients based on the radar equation. Because of the interdependency of the CSCAT data processing and the hardware configuration and onboard signal processing of the instrument, the instrument module configuration and signal processing design are also analyzed and presented comprehensively. Especially, the influence and compensation of Doppler frequency are introduced. The backscatter coefficient accuracy is estimated on the Amazon forest, and the results show that the backscatter coefficient accuracy of CSCAT on 25 × 25 km grids is less than 0.5 dB except that the near end and far end of the beam are slightly higher. The statistical results show the wind retrieval results meet the CFOSAT mission requirements.Risheng YunXiaolong DongJianqiang LiuWenming LinDi ZhuJianying MaShuyan LangZhisen WangAmerican Geophysical Union (AGU)articleCFOSATscatterometeronboard signal processingbackscatter coefficientnoise adaptive estimationmeasurement accuracyAstronomyQB1-991GeologyQE1-996.5ENEarth and Space Science, Vol 8, Iss 11, Pp n/a-n/a (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	CFOSAT scatterometer onboard signal processing backscatter coefficient noise adaptive estimation measurement accuracy Astronomy QB1-991 Geology QE1-996.5
spellingShingle	CFOSAT scatterometer onboard signal processing backscatter coefficient noise adaptive estimation measurement accuracy Astronomy QB1-991 Geology QE1-996.5 Risheng Yun Xiaolong Dong Jianqiang Liu Wenming Lin Di Zhu Jianying Ma Shuyan Lang Zhisen Wang CFOSAT Rotating Fan‐Beam Scatterometer Backscatter Measurement Processing
description	Abstract The China‐France Oceanography Satellite (CFOSAT) was successfully launched on October 29, 2018, which carries two innovative payloads, that is, the surface waves investigation and monitoring (SWIM) instrument and the rotating fan‐beam scatterometer (RFSCAT). CFOSAT scatterometer (CSCAT) is dedicated to the monitoring of sea surface wind vectors and climate studies, but also for the applications over land and polar regions. CSCAT employs a “rotating fan‐beam” design rather than “pencil‐beam” approach and “fixed fan‐beam” approach adopted by the scatterometers in orbit before. In this paper, the data processing approach of CSCAT is described. The geolocation reference mapping model is employed in CSCAT slice geolocation. In noise processing, CSCAT adopts the method of weighted least squares polynomial surface fitting to conduct noise correction factor estimation adaptively. The attitude cube algorithm used for X integral factor computation is developed to obtain precise backscatter coefficients based on the radar equation. Because of the interdependency of the CSCAT data processing and the hardware configuration and onboard signal processing of the instrument, the instrument module configuration and signal processing design are also analyzed and presented comprehensively. Especially, the influence and compensation of Doppler frequency are introduced. The backscatter coefficient accuracy is estimated on the Amazon forest, and the results show that the backscatter coefficient accuracy of CSCAT on 25 × 25 km grids is less than 0.5 dB except that the near end and far end of the beam are slightly higher. The statistical results show the wind retrieval results meet the CFOSAT mission requirements.
format	article
author	Risheng Yun Xiaolong Dong Jianqiang Liu Wenming Lin Di Zhu Jianying Ma Shuyan Lang Zhisen Wang
author_facet	Risheng Yun Xiaolong Dong Jianqiang Liu Wenming Lin Di Zhu Jianying Ma Shuyan Lang Zhisen Wang
author_sort	Risheng Yun
title	CFOSAT Rotating Fan‐Beam Scatterometer Backscatter Measurement Processing
title_short	CFOSAT Rotating Fan‐Beam Scatterometer Backscatter Measurement Processing
title_full	CFOSAT Rotating Fan‐Beam Scatterometer Backscatter Measurement Processing
title_fullStr	CFOSAT Rotating Fan‐Beam Scatterometer Backscatter Measurement Processing
title_full_unstemmed	CFOSAT Rotating Fan‐Beam Scatterometer Backscatter Measurement Processing
title_sort	cfosat rotating fan‐beam scatterometer backscatter measurement processing
publisher	American Geophysical Union (AGU)
publishDate	2021
url	https://doaj.org/article/7b4bec31848842abb38f387443d20eb4
work_keys_str_mv	AT rishengyun cfosatrotatingfanbeamscatterometerbackscattermeasurementprocessing AT xiaolongdong cfosatrotatingfanbeamscatterometerbackscattermeasurementprocessing AT jianqiangliu cfosatrotatingfanbeamscatterometerbackscattermeasurementprocessing AT wenminglin cfosatrotatingfanbeamscatterometerbackscattermeasurementprocessing AT dizhu cfosatrotatingfanbeamscatterometerbackscattermeasurementprocessing AT jianyingma cfosatrotatingfanbeamscatterometerbackscattermeasurementprocessing AT shuyanlang cfosatrotatingfanbeamscatterometerbackscattermeasurementprocessing AT zhisenwang cfosatrotatingfanbeamscatterometerbackscattermeasurementprocessing
_version_	1718416101835014144

CFOSAT Rotating Fan‐Beam Scatterometer Backscatter Measurement Processing

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