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Canopy near-infrared reflectance and terrestrial photosynthesis

机译:冠层近红外反射率与陆地光合作用

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Global estimates of terrestrial gross primary production (GPP) remain highly uncertain, despite decades of satellite measurements and intensive in situ monitoring. We report a new approach for quantifying the near-infrared reflectance of terrestrial vegetation (NIRV). NIRV provides a foundation for a new approach to estimate GPP that consistently untangles the confounding effects of background brightness, leaf area, and the distribution of photosynthetic capacity with depth in canopies using existing moderate spatial and spectral resolution satellite sensors. NIRV is strongly correlated with solar-induced chlorophyll fluorescence, a direct index of photons intercepted by chlorophyll, and with site-level and globally gridded estimates of GPP. NIRV makes it possible to use existing and future reflectance data as a starting point for accurately estimating GPP.
机译:尽管进行了数十年的卫星测量和密集的原地监测,但全球对地面初级总产值(GPP)的估计仍然高度不确定。我们报告了一种量化陆地植被(NIR V )的近红外反射率的新方法。 NIR V 为估计GPP的新方法奠定了基础,该方法使用现有的中等空间和光谱分辨率卫星,始终能够解决背景亮度,叶面积以及冠层中光合能力分布随深度的混杂影响传感器。 NIR V 与太阳诱导的叶绿素荧光,叶绿素截获的光子的直接指数以及GPP的位点水平和全局网格估计密切相关。通过NIR V ,可以将现有和将来的反射率数据用作准确估算GPP的起点。

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