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Sensitivity of a Ratio Vegetation Index Derived from Hyperspectral Remote Sensing to the Brown Planthopper Stress on Rice Plants

机译:高光谱遥感植被指数与水稻棕色植物坑胁迫的比率植被指数的敏感性

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Remote sensing end-products related to vegetation have potential applications in monitoring the health of crops. The sensitivity of a spectral index to crop stress determines its application prospect. Our aim in this study was to explore the sensitivity of a ratio vegetation index (RVI) to identify the damage caused by brown planthoppers (BPHs) on rice plants, and to evaluate the potential application of hyperspectral end-products to monitor population size of BPH. Different numbers of the second-instar nymphs were released onto potted rice at the tillering stage. The plants were exposed to BPH for two, four, six, and eight days, and reflectance from the damaged rice was measured using a hyperspectral spectroradiometer. Measurements were done again two, four, and six days after exposure (recover days), and then the spectral index RVI746/(670) was compared among rice plants infested with different numbers of BPH. The relationships between RVI746/670, the number of BPH and exposure day were simulated by linear and curve models. BPH damage resulted in a decreased spectral index RVI746/(670) of rice plants. RVI746/670 well indicated the damage of rice plants caused by six-eight BPH nymphs per plant in six-eight days, but the index could not identify the damage of these nymphs in two days. The RVI746/670 showed a two-four-day delay to indicate a slight BPH damage. The spectral index RVI746/(670) could indicate the physiologic compensation of plants for the feeding of BPH and the post-effect of BPH damage on rice. The RVI746/(670) of rice showed a quadratic curve relation with the number of BPH nymphs and a quadratic or linear relation with the exposure day. The recover day had no significant effects on RVI746/670. The RVI746/(670) (Y) could be simulated by a quadratic surface model based on the number of BPH (N) and exposure day (T): Y = 3.09427 + 0.59111T + 0.44296N - 0.03683T(2) - 0.03035N(2) - 0.08188NT (R-2 = 0.5228, p 0.01). In summary, the spectral index RVI746/(670) of rice is sensitive to damage caused by BPH.
机译:与植被相关的遥感最终产品具有监测作物健康的潜在应用。裁剪应力的光谱指数的敏感性决定了其应用前景。我们本研究的目的是探讨比率植被指数(RVI)的敏感性,以识别稻植物上的棕色Planthoppers(BPH)造成的损害,并评估高光谱终产物的潜在应用监测BPH的人口大小。在分蘖期释放不同数量的第二龄若虫在盆栽米中。将植物暴露于BPH两种,四个,六个和八天,并使用高光谱光谱仪测量受损水稻的反射率。在暴露后再次进行两次,四次和六天进行测量(恢复天),然后将光谱指数RVI746 /(670)进行了用不同数量的BPH感染的水稻植物中进行了比较。通过线性和曲线模型模拟RVI746 / 670之间的关系,BPH和暴露日的次数。 BPH损伤导致水稻植物的光谱指数RVI746 /(670)降低。 RVI746 / 670良好的表明,六八天内每株植物六八八苯虫患者造成的水稻植物的损害,但指数无法在两天内识别这些若虫的损伤。 RVI746 / 670显示了两四天的延迟,以指示轻微的BPH损坏。光谱指数RVI746 /(670)可以指示植物的生理补偿BPH的喂养和BPH损伤对水稻的后效应。水稻的RVI746 /(670)显示与BPH若虫的数量与曝光日具有二次曲线或直链或线性关系的二次曲线关系。恢复日对RVI746 / 670没有显着影响。 RVI746 /(670)(Y)可以通过基于BPH(n)的二次表面模型和暴露日(t)(t):y = 3.09427 + 0.03683t(2) - 0.03035 N(2) - 0.08188NT(R-2 = 0.5228,P <0.01)。总之,水稻的光谱指数RVI746 /(670)对BPH引起的损害敏感。

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