Naval Research Laboratory, Remote Sensing Division, 4555 Overlook Ave. SW, Washington, DC 20375, USA.
Department of Earth and Environmental Science, Vanderbilt University, 5726 Stevenson Center, Nashville, TN 37240, USA.
Sensors (Basel). 2022 Apr 29;22(9):3411. doi: 10.3390/s22093411.
Remote sensing offers a non-destructive method to detect plant physiological response to the environment by measuring chlorophyll fluorescence (CF). Most methods to estimate CF require relatively complex retrieval, spectral fitting, or modelling methods. An investigation was undertaken to evaluate measurements of CF using a relatively straightforward technique to detect and monitor plant stress with a spectroradiometer and blue-red light emitting diode (LED). CF spectral response of tomato plants treated with a photosystem inhibitor were assessed and compared to traditional reflectance-based indices: normalized difference vegetation index (NDVI) and photochemical reflectance index (PRI). The blue-red LEDs provided input irradiance and a "window" in the CF emission range of plants (~650 to 850 nm) sufficient to capture distinctive "two-peak" spectra and to distinguish plant health from day to day of the experiment, while within day differences were noisy. CF-based metrics calculated from CF spectra clearly captured signs of vegetation stress earlier than reflectance-based indices and by visual inspection. This CF monitoring technique is a flexible and scalable option for collecting plant function data, especially for indicating early signs of stress. The technique can be applied to a single plant or larger canopies using LED in dark conditions by an individual, or a manned or unmanned vehicle for agricultural or military purposes.
遥感提供了一种非破坏性的方法,通过测量叶绿素荧光 (CF) 来检测植物对环境的生理反应。大多数估计 CF 的方法都需要相对复杂的检索、光谱拟合或建模方法。本研究旨在评估使用相对简单的技术通过光谱辐射计和蓝-红光发光二极管 (LED) 检测和监测植物胁迫的 CF 测量方法。评估了用光合系统抑制剂处理的番茄植株的 CF 光谱响应,并与传统的基于反射率的指数进行了比较:归一化差异植被指数 (NDVI) 和光化学反射率指数 (PRI)。蓝-红光 LED 提供了足够的输入辐照度和植物 CF 发射范围的“窗口”(~650 到 850nm),足以捕获独特的“双峰”光谱,并在实验期间每天区分植物的健康状况,而在一天内的差异则是嘈杂的。从 CF 光谱计算的基于 CF 的指标清楚地捕捉到了植被胁迫的迹象,比基于反射率的指数更早,并且通过目视检查。这种 CF 监测技术是一种灵活且可扩展的收集植物功能数据的选择,特别是用于指示早期胁迫迹象。该技术可以应用于单个植物或更大的冠层,在黑暗条件下,个人或载人或无人车辆可以用于农业或军事目的。