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

作者: Ye Tan , Jia-Yi Sun , Bing Zhang , Meng Chen , Yu Liu

DOI: 10.3390/S19020375

关键词: ReflectivityRice plantVegetation IndexVegetationBrown planthopperHyperspectral imagingRemote sensingBiologyNymphCrop

摘要: Remote sensing end-products related to vegetation have potential applications in monitoring the health of crops. The sensitivity a spectral index crop stress determines its application prospect. Our aim this study was explore ratio (RVI) identify damage caused by brown planthoppers (BPHs) on rice plants, and evaluate hyperspectral monitor population size BPH. Different numbers second-instar nymphs were released onto potted at tillering stage. plants exposed BPH for two, four, six, eight days, reflectance from damaged measured using spectroradiometer. Measurements done again six days after exposure (recover days), then RVI746/670 compared among infested with different relationships between RVI746/670, number day simulated linear curve models. resulted decreased plants. well indicated six⁻eight per plant but could not these two days. showed two⁻four-day delay indicate slight damage. physiologic compensation feeding post-effect rice. quadratic relation or day. recover had no significant effects RVI746/670. (Y) be surface model based (N) (T): Y = 3.09427 + 0.59111T 0.44296N - 0.03683T² 0.03035N² 0.08188NT (R² 0.5228, p < 0.01). In summary, is sensitive

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