Theoretical Research and Simulation of the Atmospheric Wind Field and Temperature Based on the Fabry-Perot Interferometer

Li, 汪丽 Wang; Yi, 周毅 Zhou; Dengxin, 华灯鑫 Hua; Meng, 王萌 Wang

doi:10.3788/aos201131.1001001

Cited by 5 publications

(3 citation statements)

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“…di f f erence CCR = 0.01479 + 0.091202ν Z R 2 = 0.52679 (11) In this model, the regression coefficient of the Z-direction wind speed was positive, which indicated a positive correlation between di f f erence CCR and Z-direction wind speed in the low-speed wind field area. This was because with the increase of Z-direction wind speed, the rice crop's canopy would have a different degree of lodging and deformation, and much more soil would be exposed, so that the value of CCR would go down, and the value of di f f erence CCR would go up.…”

Section: The Impact Of Wind Field On Rice Canopy Coverage Ratementioning

confidence: 73%

“…Experts and scholars have carried out a lot of studies on wind field measurement, and designed a lot of wind field measurement systems with different principles. Wang et al [11] deduced the inversion theoretical model of wind speed and temperature for the atmospheric wind field detection system based on a Fabry-Perot interferometer and theoretically verified it. Li et al [12] designed a method for simulating and measuring an atmospheric wind field with simple equipment by using the modulation characteristics of a semiconductor laser and the high spectral resolution Fabry-Perot interferometer, which can effectively analyze and evaluate the Doppler wind speed measurement principle, data processing method, system performance, and measurement error.…”

Section: Introductionmentioning

confidence: 97%

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Wind Field Distribution of Multi-rotor UAV and Its Influence on Spectral Information Acquisition of Rice Canopies

Liu

Wang

et al. 2019

Remote Sensing

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Unmanned aerial vehicles (UAV) are widely used as remote sensing platforms to effectively monitor agricultural conditions. The wind field generated by the rotors in low-altitude operations will cause the deformation of rice crops, and may affect the acquisition of the true spectral information. In this study, a low-altitude UAV remote sensing simulation platform and a triple-direction wind field wireless sensor network system were built to explore the wind field distribution law. Combined with the multi-spectral images of the rice canopy, the influence of wind field on the spectral information acquisition was analyzed through variance and regression analysis. The results showed that the Z-direction wind field of UAV rotors dominated along three directions (X, Y, and Z). The coefficient of determination (R2) of three linear regression models for Normalized Difference Vegetation Index (NDVI), Ratio Vegetation Index (RVI), and Canopy Coverage Rate (CCR) was 0.782, 0.749, and 0.527, respectively. Therefore, the multi-rotor UAV wind field had an impact on the spectral information acquisition of rice canopy, and this influence could eventually affect the assessment of rice growth status. The models established in this study could provide a reference for the revised model of spectral indices, and offer guidance for the actual operations of low-altitude multi-rotor UAV.

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Section: The Impact Of Wind Field On Rice Canopy Coverage Ratementioning

confidence: 73%

Section: Introductionmentioning

confidence: 97%

Wind Field Distribution of Multi-rotor UAV and Its Influence on Spectral Information Acquisition of Rice Canopies

Liu

Wang

et al. 2019

Remote Sensing

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show abstract

“…Zhao et al [20] , Li et al [21] , and E et al [22] studied the data process of wind retrieval using the method of determining complete interference fringe center proposed firstly by Kubota. Wang et al [23] derived complete interference fringe center and radius to retrieve wind velocity using the circle fitting with least squares method. Han et al [1,24−25] just studied the method of thinning incomplete interference fringes, but did not describe the method of determining the incomplete fringe center and radius.…”

Section: Introductionmentioning

confidence: 99%

Data Processing of the Middle and Upper Atmospheric Wind Retrieval Based on the Fabry‐Perot Interferometer

Wang

2013

Chinese J of Geophysics

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Since the Doppler shifts of airglow orauroralemission lines due to neutral winds are extremely small, it is essential to determine the center position and radius of fringes with the uppermost accuracy. In this paper, a new method is presented for the center position and radius determination of incomplete interference fringes of Fabry-Perot Interferometer (FPI). Due to the data noise comes from FPI instrument and space environment, the data pre-processing was firstly carried out including mean filtering and wiener weightingadaptive filtering. Then, according to the Gauss distribution of fringe intensity, interference fringe peak coordinates were derived from both radius obtained using Gaussian fitting and fringe center coordinates. Subsequently, based on the peak coordinates, new center position and radius were estimated by using circular coordinate fitting with the least square method. Finally, the center coordinate and radius were determined by using the iterative operation between Gaussian fitting and circular coordinate fitting. The new method was applied to Fabry-Perot interferometer data processing for wind velocity estimation of the middle and upper atmosphere. The retrieval results are 96.9537 m/s (actual wind velocity ∼100 m/s) and 7.5282 m/s (actual wind velocity ∼10 m/s), lower by 2.977 m/s and 2.465 m/s, respectively. Compared with theoretical values, both of them are less than 3 m/s, which suggests a tentatively reliable and practicable method of circle center and radius determination for wind retrieval of the middle and upper atmosphere.

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Retrieval of middle and upper atmospheric wind based on non-full circular fringe recorded by Fabry-Perot Inteferometer

Wang

et al. 2017

Sci. China Earth Sci.

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Theoretical Research and Simulation of the Atmospheric Wind Field and Temperature Based on the Fabry-Perot Interferometer

Cited by 5 publications

References 0 publications

Wind Field Distribution of Multi-rotor UAV and Its Influence on Spectral Information Acquisition of Rice Canopies

Wind Field Distribution of Multi-rotor UAV and Its Influence on Spectral Information Acquisition of Rice Canopies

Data Processing of the Middle and Upper Atmospheric Wind Retrieval Based on the Fabry‐Perot Interferometer

Retrieval of middle and upper atmospheric wind based on non-full circular fringe recorded by Fabry-Perot Inteferometer

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