Details:

Journal Title:
Remote Sensing
Personal Author:
Zhou, Lizhang ; Zheng, Gang ; Li, Xiaofeng ; Yang, Jingsong ; Ren, Lin ; ... More +
Zhou, Lizhang ; Zheng, Gang ; Li, Xiaofeng ; Yang, Jingsong ; Ren, Lin ; Chen, Peng ; Zhang, Huaguo ; Lou, Xiulin Less -
NOAA Program & Office:
NESDIS (National Environmental Satellite, Data, and Information Service) ; STAR (Center for Satellite Applications and Research)
NESDIS (National Environmental Satellite, Data, and Information Service) ; STAR (Center for Satellite Applications and Research) Less -
Description:
Sea surface wind affects the fluxes of energy, mass and momentum between the atmosphere and ocean, and therefore regional and global weather and climate. With various satellite microwave sensors, sea surface wind can be measured with large spatial coverage in almost all-weather conditions, day or night. Like any other remote sensing measurements, sea surface wind measurement is also indirect. Therefore, it is important to develop appropriate wind speed and direction retrieval models for different types of microwave instruments. In this paper, a new sea surface wind direction retrieval method from synthetic aperture radar (SAR) imagery is developed. In the method, local gradients are computed in frequency domain by combining the operation of smoothing and computing local gradients in one step to simplify the process and avoid the difference approximation. This improved local gradients (ILG) method is compared with the traditional two-dimensional fast Fourier transform (2D FFT) method and local gradients (LG) method, using interpolating wind directions from the European Centre for Medium-Range Weather Forecast (ECMWF) reanalysis data and the Cross-Calibrated Multi-Platform (CCMP) wind vector product. The sensitivities to the salt-and-pepper noise, the additive noise and the multiplicative noise are analyzed. The ILG method shows a better performance of retrieval wind directions than the other two methods.
Keywords:
[+]
Remote Sensing Winds
Source:
Remote Sens. 2017, 9(7), 671
DOI:
https://doi.org/10.3390/rs9070671
Document Type:
Journal Article
Rights Information:
CC BY
Compliance:
Submitted
Main Document Checksum:
[+]
urn:sha256:a5b62a7e816306c7f43fb206313c51d0699ae06f8f78f72745d79da3be0027c4
Download URL:
https://repository.library.noaa.gov/view/noaa/43956/noaa_43956_DS1.pdf
File Type:

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