Zhou Xijia, Liu Zhigang, Xu Shan, Zhang Weiwei, Wu Jun
State Key Laboratory of Remote Sensing Science, School of Geography, Beijing Key Laboratory of Environmental Remote Sensing and Digital City, Beijing Normal University, Beijing 100875, China.
Guangxi Colleges and Universities Key Laboratory of Optoelectronic Information Processing, Guilin University of Electronic Technology, Guilin 541004, Guangxi, China.
Sensors (Basel). 2016 May 27;16(6):775. doi: 10.3390/s16060775.
Detecting sun-induced chlorophyll fluorescence (SIF) offers a new approach for remote sensing photosynthesis. However, to analyse the response characteristics of SIF under different stress states, a long-term time-series comparative observation of vegetation under different stress states must be carried out at the canopy scale, such that the similarities and differences in SIF change law can be summarized under different time scales. A continuous comparative observation system for vegetation canopy SIF is designed in this study. The system, which is based on a high-resolution spectrometer and an optical multiplexer, can achieve comparative observation of multiple targets. To simultaneously measure the commonly used vegetation index and SIF in the O₂-A and O₂-B atmospheric absorption bands, the following parameters are used: a spectral range of 475.9 to 862.2 nm, a spectral resolution of approximately 0.9 nm, a spectral sampling interval of approximately 0.4 nm, and the signal-to-noise ratio (SNR) can be as high as 1000:1. To obtain data for both the upward radiance of the vegetation canopy and downward irradiance data with a high SNR in relatively short time intervals, the single-step integration time optimization algorithm is proposed. To optimize the extraction accuracy of SIF, the FluorMOD model is used to simulate sets of data according to the spectral resolution, spectral sampling interval and SNR of the spectrometer in this continuous observation system. These data sets are used to determine the best parameters of Fraunhofer Line Depth (FLD), Three FLD (3FLD) and the spectral fitting method (SFM), and 3FLD and SFM are confirmed to be suitable for extracting SIF from the spectral measurements. This system has been used to observe the SIF values in O₂-A and O₂-B absorption bands and some commonly used vegetation index from sweet potato and bare land, the result of which shows: (1) the daily variation trend of SIF value of sweet potato leaves is basically same as that of photosynthetically active radiation (PAR); and (2) the bare land is a non-fluorescent emitter, the SIF of which is significantly smaller than that of sweet potato; and (3) analysis result based on the measured data is basically same as that based on simulated data. The above results verified the reliability of the SIF extracted from the measured data and the feasibility of comparatively observing the SIF value and the commonly used vegetation index of multiple vegetation canopy with this continuous observation system. This approach is beneficial for comprehensively analysing the stress response characteristics of vegetation canopies.
检测太阳诱导叶绿素荧光(SIF)为遥感光合作用提供了一种新方法。然而,要分析不同胁迫状态下SIF的响应特征,必须在冠层尺度上对处于不同胁迫状态的植被进行长期的时间序列对比观测,以便总结不同时间尺度下SIF变化规律的异同。本研究设计了一种用于植被冠层SIF的连续对比观测系统。该系统基于高分辨率光谱仪和光学多路复用器,能够实现对多个目标的对比观测。为了同时测量O₂ - A和O₂ - B大气吸收波段中常用的植被指数和SIF,采用了以下参数:光谱范围为475.9至862.2 nm,光谱分辨率约为0.9 nm,光谱采样间隔约为0.4 nm,信噪比(SNR)高达1000:1。为了在相对较短的时间间隔内获取具有高信噪比的植被冠层向上辐射和向下辐照度数据,提出了单步积分时间优化算法。为了优化SIF的提取精度,在这个连续观测系统中,使用FluorMOD模型根据光谱仪的光谱分辨率、光谱采样间隔和信噪比来模拟数据集。这些数据集用于确定夫琅禾费线深度(FLD)、三线深度(3FLD)和光谱拟合方法(SFM)的最佳参数,并且证实3FLD和SFM适用于从光谱测量中提取SIF。该系统已用于观测甘薯和裸地在O₂ - A和O₂ - B吸收波段的SIF值以及一些常用的植被指数,结果表明:(1)甘薯叶片SIF值的日变化趋势与光合有效辐射(PAR)基本相同;(2)裸地是一个非荧光发射体,其SIF明显小于甘薯;(3)基于实测数据的分析结果与基于模拟数据的基本相同。上述结果验证了从实测数据中提取的SIF的可靠性以及使用该连续观测系统对比观测多个植被冠层的SIF值和常用植被指数的可行性。这种方法有利于全面分析植被冠层的胁迫响应特征。