基于无人机多光谱数据和氮素空间分异的玉米冠层氮浓度估算

郝琪, 陈天陆, 王富贵, 王振, 白岚方, 王永强, 王志刚

Estimation of canopy nitrogen concentration in maize based on UAV multi- spectral data and spatial nitrogen heterogeneity

HAO Qi, CHEN Tian-Lu, WANG Fu-Gui, WANG Zhen, BAI Lan-Fang, WANG Yong-Qiang, WANG Zhi-Gang

图5 不同施氮处理对玉米冠层不同层次叶片氮浓度的影响 缩略词同表2。处理同图1。2022年土默特右旗V9、V12、R1和R3玉米冠层不同层次叶片氮浓度变化情况(A~D), 2022年土默特左旗V9、V12、R1和R3玉米冠层不同层次叶片氮浓度变化情况(E~H)和2023年土默特右旗V9、V12、R1和R3玉米冠层不同层次叶片氮浓度变化情况(I~L)。

Fig. 5 Effects of different nitrogen application treatments on nitrogen concentration in leaves of different layers of maize canopy Abbreviations are the same as those given in Table 2. Treatments are the same as those given in Fig. 1. Nitrogen concentrations in leaves at different levels of corn canopy in Tumd Right Banner in 2022 (A-D), leaf nitrogen concentrations at different levels of corn canopy of V9, V12, R1, and R3 in Tumd Left Banner in 2022 (E-H) and at different levels of corn canopy of V9, V12, R1, and R3 in Tumd Right Banner in 2023 (I-L).