Overview of surface wind speed retrieval from C-band SAR images: Empirical and electromagnetic approaches

La, Tran Vu; Khenchaf, Ali; Comblet, Fabrice; Nahum, Carole

doi:10.1109/atsip.2017.8075512

Cited by 2 publications

(8 citation statements)

References 19 publications

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“…In order to quantitatively retrieve the SSWF from the radar backscatter signal, a forward model between the SSWF and the radar backscatter must be established [73,74]. Models can be divided into two categories: empirical (EP) and electromagnetic (EM) approaches [23]. At present, it is difficult to accurately model the interaction between radar electromagnetic waves and a complicated and rough sea surface, resulting in the accuracy of the microwave remote sensing model of the SSWF based on the physical mechanism being lower than that for the empirical model based on statistics [75][76][77].…”

Section: Methodmentioning

confidence: 99%

“…The disadvantages include the following aspects: (1) The temporal resolution of the SAR data needs to be further improved. (2) Models concerning the wind speed inversion are mostly based on empirical (EP) fitting models, such as the GMF [23,24], and research on the physical methods needs to be further improved. In general, wind speeds based on the EP and electromagnetic (EM) models are quite similar for an RIA below 40 °since they deliver close NRCS values.…”

Section: The Potential and Drawback For Sswf Estimation Using Sarmentioning

confidence: 99%

“…The reason for this is that the contribution of wave breaking and foam to the NRCS has not been considered in the description of EM models. This should be considered in the next steps to improve radar scattering calculation with the EM models [23]. (3) Regarding the inversion of the wind direction, most algorithms are based on the presence of wind streaks, but this feature is not present in every SAR image [9].…”

Section: The Potential and Drawback For Sswf Estimation Using Sarmentioning

confidence: 99%

“…The GMF is one of the most important ways to perform the inversion of SSWFs based on SAR data, which is achieved empirically. The advantages of this method are that the model is reliably stable and widely applicable, and the accuracy of the inversion is further improved by the continuous optimisation of the model [23]. There are, of course, shortcomings in the model.…”

Section: The Potential and Drawback For Sswf Estimation Using Sarmentioning

confidence: 99%

“…The physical approach attempts to reveal the relationship between radar scattering and an SSWF based on the principle of electromagnetism (EM) [23]. The EM models are constructed based on quasiexact calculations or the asymptotic method.…”

Section: Electromagnetic Approachmentioning

confidence: 99%

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A Review for Retrieving Wind Fields by Spaceborne Synthetic Aperture Radar

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A high-resolution sea surface wind field (SSWF) has high application requirements, such as weather forecast, wind energy evaluation, and oil spill monitoring. The models for retrieving SSWFs based on spaceborne synthetic aperture radar (SAR) are important methods for obtaining high-resolution SSWFs. These models are continuously updated and improved from the prototype to the model to achieve high-resolution and high-precision SSWF retrieval. With the development of SAR technology and the gradual maturation of global ocean observations, SSWF quantitative estimation using SAR has developed from scientific research to operational monitoring. This study summarises the principles and methods of SSWF with multipolarized SAR. Finally, research suggestions and future development directions are put forward.

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Section: Methodmentioning

confidence: 99%

Section: The Potential and Drawback For Sswf Estimation Using Sarmentioning

confidence: 99%

Section: The Potential and Drawback For Sswf Estimation Using Sarmentioning

confidence: 99%

Section: The Potential and Drawback For Sswf Estimation Using Sarmentioning

confidence: 99%

Section: Electromagnetic Approachmentioning

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Review on Monitoring, Operation and Maintenance of Smart Offshore Wind Farms

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et al. 2022

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In recent years, with the development of wind energy, the number and scale of wind farms have been developing rapidly. Since offshore wind farms have the advantages of stable wind speed, being clean, renewable, non-polluting, and the non-occupation of cultivated land, they have gradually become a new trend in the wind power industry all over the world. The operation and maintenance of offshore wind power has been developing in the direction of digitization and intelligence. It is of great significance to carry out research on the monitoring, operation, and maintenance of offshore wind farms, which will be of benefit for the reduction of the operation and maintenance costs, the improvement of the power generation efficiency, improvement of the stability of offshore wind farm systems, and the building of smart offshore wind farms. This paper will mainly summarize the monitoring, operation, and maintenance of offshore wind farms, with particular focus on the following points: monitoring of “offshore wind power engineering and biological and environment”, the monitoring of power equipment, and the operation and maintenance of smart offshore wind farms. Finally, the future research challenges in relation to the monitoring, operation, and maintenance of smart offshore wind farms are proposed, and the future research directions in this field are explored, especially in marine environment monitoring, weather and climate prediction, intelligent monitoring of power equipment, and digital platforms.

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Overview of surface wind speed retrieval from C-band SAR images: Empirical and electromagnetic approaches

Cited by 2 publications

References 19 publications

A Review for Retrieving Wind Fields by Spaceborne Synthetic Aperture Radar

A Review for Retrieving Wind Fields by Spaceborne Synthetic Aperture Radar

Review on Monitoring, Operation and Maintenance of Smart Offshore Wind Farms

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