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Application of Sentinel-1A Data in Offshore Wind Field Retrieval Within Guangdong Province

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Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1228))

Abstract

Offshore wind is an important source of information for monitoring the interaction between fishery and marine water vapor environment. In this paper, the CMOD5 function was used to invert the wind field in the coastal waters of Guangdong province in March, May, July and December 2017. Compared with the measured wind speed, the reasonable result of the inversion wind speed is generally higher, with the mean absolute deviation of 1.95 m/s, the root mean square error of 2.7 m/s, and the correlation coefficient of 0.8. Due to the measured data not exactly matching the satellite transit time, the error in December is large. The inversion results of Sentinel-1A images are consistent with the measured data generally, which verifies that the COMD5 function is applicable to the inversion of offshore high-resolution marine wind field in Guangdong province, and provides a possibility for the next step of estimating the wind energy resources and reserves in Guangdong province.

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Acknowledgment

This research is jointly supported by the Science and Technology Planning Project of Guangdong Province (2018B020207002, 2019B020208013, 2019B020208004), the GDAS’ Project of Science and Technology Development (2018GDASCX-0902), and the Key Special Project for Introduced Talents Team of Southern Marine Science and Engineering Guangdong Laboratory (Guangzhou) (GML2019ZD0301).

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Correspondence to Kaiwen Zhong .

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Wu, P., Zhong, K., Hu, H., Zhao, Y., Xu, J., Wang, Y. (2020). Application of Sentinel-1A Data in Offshore Wind Field Retrieval Within Guangdong Province. In: Xie, Y., Li, Y., Yang, J., Xu, J., Deng, Y. (eds) Geoinformatics in Sustainable Ecosystem and Society. GSES GeoAI 2019 2019. Communications in Computer and Information Science, vol 1228. Springer, Singapore. https://doi.org/10.1007/978-981-15-6106-1_11

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  • DOI: https://doi.org/10.1007/978-981-15-6106-1_11

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-15-6105-4

  • Online ISBN: 978-981-15-6106-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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