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Quantitative Analysis of Crops Chlorophyll in the Heihe River Basin by Hyperspectral Remote Sensing Image

机译:黑河流域农作物叶绿素的高光谱遥感定量分析。

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The continuous fine spectrums obtained by hyperspectral remote sensing provide broad accessibility to precisely estimate physiological and biochemical parameters of ground vegetation. Chlorophyll is responsible for absorbing sunlight, so the real-time and accurate monitoring of chlorophyll becomes an important research field of hyperspectral remote sensing in precision agriculture. By utilizing a spectral index which is sensitive to the chlorophyll content(Chl), this paper tried to calculate the Chi profiles of the arid region in Heihe River Basin based on hyperspectral remote sensing images acquired by Operational Modular Imaging Spectrometer (OMIS) in WATER campaign[l]. In addition, an Absorption Depth Index(ADI) was proposed as an effective indicator of the emissive chlorophyll fluorescence (ChlF) based on the spectral characteristics of Solar Fraunhofer lines, and the ChlF and ADI profiles at 760nm band of each experiment site were worked out. The inversion result of Chi and ChlF were in good conformity with the actual situation, which would serve as important materials for the real-time monitoring of crop growth in the Heihe river basin.
机译:通过高光谱遥感获得的连续精细光谱为精确估算地面植被的生理和生化参数提供了广泛的可及性。叶绿素负责吸收阳光,因此叶绿素的实时,准确监测成为精密农业中高光谱遥感的重要研究领域。通过利用对叶绿素含量(Chl)敏感的光谱指数,尝试通过在水运动中使用操作模块化成像光谱仪(OMIS)获得的高光谱遥感图像来计算黑河流域干旱区的Chi剖面。 [l]。此外,基于Solar Fraunhofer谱线的光谱特征,提出了吸收深度指数(ADI)作为叶绿素荧光发射(ChlF)的有效指标,并得出了每个实验点在760nm波段的ChlF和ADI分布图。 。 Chi和ChlF的反演结果与实际情况吻合较好,为黑河流域作物生长的实时监测提供了重要的资料。

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