Monitoring of Wheat Powdery Mildew Disease Severity Using Multiangle Hyperspectral Remote Sensing

Monitoring of Wheat Powdery Mildew Disease Severity Using Multiangle Hyperspectral Remote Sensing
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多角度高光谱遥感监测小麦白粉病病情

DOI:
10.1109/tgrs.2020.3000992
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发表时间:
2021-02-01
影响因子:
8.2
通讯作者:
He, De-Xian
He, De-Xian
中科院分区:
工程技术1区
文献类型:
--
作者:
He, Li;Qi, Shuang-Li;He, De-Xian

文献摘要

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小麦白粉病的发病是从植株的底层向上层扩散的,垂直观测角度限制了小麦白粉病状况的早期监测。多角度遥感可以有效地提取不同植物层的空间结构信息。本研究的目的是提高监测精度的WPM严重性和筛选合适的观测角度,通过开发一种新的植被指数。在13个观测角度和不同角度范围内,比较了新参数[归一化白粉病指数(NPMI)和比值白粉病指数(RPMI)]和14个优化的传统光谱参数的监测能力。在太阳主平面内,前向观测方向的光谱参数与病害严重度的相关性上级后向观测方向,且两个观测方向的相关性随观测角度的增大而减小。新的光谱参数为RPMI(${R}{744}/{R}{762}-0.5\timesR {710}$),最佳观测角度为10 °,相关系数为0.852,比双波段光谱参数${R}{744}/{R}{762}$高31.74。新参数在0 ~ 30范围内的正向拟合精度为0.704。RPMI不仅可以提高单角度白粉病严重度的监测精度,而且在正向0 ~ 30范围内监测精度更稳定,显著拓展了遥感监测的应用范围,增强了该技术在实际生产环境中的灵活性。
The pathogenesis of wheat powdery mildew (WPM) is from the bottom to upper layers of the plant, and the vertical observation angle limits the early monitoring of WPM status. Multiangle remote sensing could effectively extract spatial structural information from different plant layers. The objectives of this study were to improve the monitoring accuracy of WPM severity and to screen suitable observation angles by developing a novel vegetation index. The monitoring capacities of the novel parameters [Normalized Powdery Mildew Index (NPMI) and Ratio Powdery Mildew Index (RPMI)] and 14 optimized traditional spectral parameters were compared at 13 observation angles and different angle ranges. The correlation between all spectral parameters and disease severity was superior in the forward observation direction than in the backward observation direction in the principal plane of the Sun, and the correlation between the two observation directions decreased with an increase in observation angle. The new spectral parameter suitable for inversion of disease index was RPMI (${R}_{744}/{R}_{762}-0.5 \times R_{710}$ ), and the best optimal observation angle was 10, with a 0.852 coefficient, which was 31.74 higher than that of the two-band spectral parameter, ${R}_{744}/{R}_{762}$ . The fitting accuracy of the new parameter in the range of 0 to 30 in the forward direction was 0.704. RPMI could not only improve the monitoring accuracy of powdery mildew severity at a single angle but also achieve a more stable monitoring accuracy in the 0 to 30 range in the forward direction, which significantly expands the application scope of remote sensing monitoring and enhances the flexibility of the technology in actual production environments.