Inversion reflectance by apple tree canopy ground and unmanned aerial vehicle integrated remote sensing data

文献类型： 外文期刊

第一作者： Yu, Ruiyang

作者： Yu, Ruiyang;Zhu, Xicun;Bai, Xueyuan;Tian, Zhongyu;Zhu, Xicun;Jiang, Yuanmao;Yang, Guijun

作者机构：

关键词： Apple tree  canopy; Integrated; Inversion; Reflectance; Remote sensing

期刊名称：JOURNAL OF PLANT RESEARCH （ 影响因子：2.629； 五年影响因子：2.926 ）

ISSN： 0918-9440

年卷期：

页码：

收录情况： SCI

摘要： To obtain accurate spatially continuous reflectance from Unmanned Aerial Vehicle (UAV) remote sensing, UAV data needs to be integrated with the data on the ground. Here, we tested accuracy of two methods to inverse reflectance, Ground-UAV-Linear Spectral Mixture Model (G-UAV-LSMM) and Minimum Noise Fraction-Pixel Purity Index-Linear Spectral Mixture Model (MNF-PPI-LSMM). At wavelengths of 550, 660, 735 and 790 nm, which were obtained by UAV multispectral observations, we calculated the canopy abundance based on the two methods to acquire the inversion reflectance. The correlation of the inversion and measured reflectance values was stronger in G-UAV-LSMM than MNF-PPI-LSMM. We conclude that G-UAV-LSMM is the better model to obtain the canopy inversion reflectance.

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