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10 基于无人机影像和冠层氮素空间分异的玉米冠层氮浓度空间分布 2022年土默特右旗玉米V9 (A)、V12 (B)、R1 (C)和R3 (D)冠层氮浓度田间分布, 2023年土默特右旗玉米V9 (E)、V12 (F)、R1 (G)和R3 (H)冠层氮浓度田间分布和2022年土默特左旗玉米V9 (I)、V12 (J)、R1 (K)和R3 (L)冠层氮浓度田间分布。处理同图1。NC表示冠层氮浓度。

Fig. 10 Spatial distribution of maize canopy nitrogen concentration based on UAV image and spatial heterogeneity of canopy nitrogen Field distribution of canopy N concentrations of maize V9 (A), V12 (B), R1 (C), and R3 (D) in Tumd Right Banner in 2022, field distribution of canopy N concentrations of maize V9 (E), V12 (F), R1 (G), and R3 (H) in Tumd Right Banner in 2023 and field distribution of canopy N concentrations of maize V9 (I), V12 (J), R1 (K), and R3 (L) in Tumd Left Banner in 2022. Treatments are the same as those given in Fig. 1. NC represents canopy nitrogen concentration.