Wind Field Distribution of Multi-rotor UAV and Its Influence on Spectral Information Acquisition of Rice Canopies
文献类型： 外文期刊
作者： Feng, Lei 1 ; Wu, Weikang 1 ; Wang, Junmin 3 ; Zhang, Chu 1 ; Zhao, Yiying 1 ; Zhu, Susu 1 ; He, Yong 1 ;
作者机构： 1.Zhejiang Univ, Coll Biosyst Engn & Food Sci, 866 Yuhangtang Rd, Hangzhou 310058, Zhejiang, Peoples R China
2.Minist Agr & Rural Affairs, Key Lab Spect Sensing, Hangzhou 310058, Zhejiang, Peoples R China
3.Zhejiang Acad Agr Sci, Inst Crop Sci & Nucl Technol Utilizat, Hangzhou 310021, Zhejiang, Peoples R China
关键词： multi-rotor UAV; wind-field distribution; triple-direction wind field wireless sensor network; multispectral information
期刊名称：REMOTE SENSING （ 影响因子：4.848； 五年影响因子：5.353 ）
ISSN： 2072-4292
年卷期： 2019 年 11 卷 6 期
页码：
收录情况： SCI
摘要： 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 (R-2) 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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