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Model-based analysis of the relationship between sun-induced chlorophyll fluorescence and gross primary production for remote sensing applications

机译:基于模型的遥感诱导的叶绿素荧光与初级总生产量之间关系的分析

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Remote sensing of sun-induced chlorophyll fluorescence (SIF) is a novel optical tool for the assessment of terrestrial photosynthesis or gross primary production (GPP). Several recent studies have demonstrated the strong link between GPP and space-borne retrievals of SIF at broad scales. However, critical gaps remain between short-term small-scale mechanistic understanding and seasonal global observations. Here, we present a model-based analysis of the relationship between SIF and GPP across scales for diverse vegetation types and a range of meteorological conditions, with the ultimate focus on reproducing the environmental conditions during remote sensing measurements. The coupled fluorescence-photosynthesis model SCOPE is used to simulate GPP and SIF at the both leaf and canopy levels for 13 flux sites. Analyses were conducted to investigate the effects of temporal scaling, canopy structure, overpass time, and spectral domain on the relationship between SIF and GPP. The simulated SIF is highly non-linear with GPP at the leaf level and instantaneous time scale and tends to linearize when scaling to the canopy level and daily to seasonal. These relationships are consistent across a wide range of vegetation types. The relationship between SIF and GPP is primarily driven by absorbed photosynthetically active radiation (APAR), especially at the seasonal scale, although the photosynthetic efficiency also contributes to strengthen the link between them. The linearization of their relationship from leaf to canopy and averaging over time is because the overall conditions of the canopy fall within the range of the linear responses of GPP and SIF to light and the photosynthetic capacity. Our results further show that the top-of-canopy relationships between simulated SIF and GPP have similar linearity regardless of whether we used the morning or midday satellite overpass times. Field measurements confirmed these findings. In addition, the simulated red SIF at 685 nm has a similar relationship with GPP as that of far-red SIF at 740 nm at the canopy level. These findings provide model-based evidence to interpret remotely sensed SIF data and their relationship with GPP. (C) 2016 Elsevier Inc. All rights reserved.
机译:太阳诱发的叶绿素荧光(SIF)的遥感是一种新颖的光学工具,可用于评估陆地光合作用或初级总产值(GPP)。最近的一些研究证明了GPP和SIF的星载检索之间的紧密联系。但是,短期的小规模机械理解和季节性全球观测之间仍然存在关键差距。在这里,我们针对不同植被类型和一系列气象条件,跨尺度对SIF和GPP之间的关系进行了基于模型的分析,最终重点是在遥感测量过程中再现环境条件。耦合的光合作用模型SCOPE用于在13个通量位点的叶和冠层水平上模拟GPP和SIF。进行了分析以研究时间缩放,冠层结构,立交时间和频谱域对SIF与GPP之间关系的影响。模拟的SIF在叶级和瞬时时间尺度上与GPP高度非线性,并且在按比例缩放到冠层水平以及每天到季节性时倾向于线性化。这些关系在广泛的植被类型中是一致的。 SIF和GPP之间的关系主要由吸收的光合有效辐射(APAR)驱动,特别是在季节性尺度上,尽管光合效率也有助于加强它们之间的联系。它们之间的关系从叶到冠层线性化并随时间平均,这是因为冠层的总体条件落在GPP和SIF对光和光合作用能力的线性响应范围内。我们的结果进一步表明,无论我们使用上午还是中午的卫星立交时间,模拟SIF和GPP之间的树冠顶部关系都具有相似的线性。现场测量证实了这些发现。另外,在冠层水平,在685 nm处模拟的红色SIF与740在740 nm处的远红色SIF具有相似的关系。这些发现提供了基于模型的证据来解释遥感SIF数据及其与GPP的关系。 (C)2016 Elsevier Inc.保留所有权利。

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