SO2毒害水稻叶片吸收光谱植被指数研究

为寻找对SO_2伤害敏感的叶片吸收光谱植被指数,通过田间熏气试验对水稻叶片吸收光谱与叶绿素总量、熏气浓度的相关性进行了研究.结果表明,由吸收光谱曲线及其一阶导数光谱曲线的特征位置确定的分别位于蓝光区、黄光区和红光区的12个特征波段的叶片吸收光谱值均与叶绿素总量显著相关,由这些特征波段构建的植被指数BEACI/YEACI/REACI与叶绿素总量的相关性都达到极显著水平,并且相关系数比特征单波段吸收光谱值与叶绿素总量的相关性显著提高.进一步分析这些植被指数与SO_2熏气浓度之间的相关性表明,最新完全展开叶在663.239、693.460 nm的单波段吸收光谱以及植被指数BEACI、REACI、YEA CI613.385、YEACI_(630.036)和YEACI_(663.239)与SO_2熏气浓度呈正显著相关.BEACI、REACI,、YEACI_(613.385)、YEACI_(630.036)和YEACI_(663.229)为叶片吸收光谱SO_2伤害敏感植被指数,具有估测水稻SO_2伤害的应用潜力.

Leaf Absorptance Spectrum Sensitive Vegetation Indices Under Sulfur Dioxide Acute Injury

This study aimed at developing a number of indices of the leaf absorptance sensitive to sulfur dioxide (SO_2) -injury. Experiments were conducted in an open-top fumigation device to investigate the correlationships between leaf absorptance and chlorophyll concentration, SO_2 concentration. The result showed that algorithms of BEACI/YEACI/ REACI(blue/yellow/red/edge absorptance spectrum chlorophyll index) based on absorptance band ratios had been developed for the remote estimation of chlorophyll a(Chla),chlorophyll b(Chlb) and total chlorophyll concentration (Chlt) of SO_2-injured rice leaves. The charactistic wavelength positions were selected from the zero,peak and dip positions of the first derivative curve and spectral absorptance curve in the three edge (blue edge, yellow edge and red edge ) regions. The absorptivity of the 12 charactistic wavelenths were proved to be significantly correlated with the chlorophyll concentrations, and the vegetation indices BEACI/REACI/YEACI had higher correlation coefficents with the chlorophyll concentrations than single leaf absorptance spectrum. By further analysis on the relations between these indices and SO_2 concentrations, the absorptance spectrum of 663.239 nm, 693.460 run, BEACI, REACI, YEACI_(630.036) and YEACI_(663.239) of the upper leaves had higher correlations coefficients with SO_2 concentrations. The result indicated that BEACI,REACI,YEACI_(613.385)、YEACI_(630.036) and YEACI_(663.239) were sensitive to SO_2 injury, so it was considered that it was feasible to recognize the SO_2 injury by these vegetation indices.