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Remote sensing of ecosystem light use efficiency with MODIS-based PRI

机译:基于基于MODIS的PRI的生态系统光利用效率遥感

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摘要

Several studies sustained the possibility that a photochemical reflectance index (PRI) directly obtained from satellite data can be used as a proxy for ecosystem light use efficiency (LUE) in diagnostic models of gross primary productivity. This modelling approach would avoid the complications that are involved in using meteorological data as constraints for a fixed maximum LUE. However, no unifying model predicting LUE across climate zones and time based on MODIS PRI has been published to date. In this study, we evaluate the effectiveness with which MODIS-based PRI can be used to estimate ecosystem light use efficiency at study sites of different plant functional types and vegetation densities. Our objective is to examine if known limitations such as dependence on viewing and illumination geometry can be overcome and a single PRI-based model of LUE (i.e. based on the same reference band) can be applied under a wide range of conditions. Furthermore, we were interested in the effect of using different faPAR (fraction of absorbed photo-synthetically active radiation) products on the in-situ LUE used as ground truth and thus on the whole evaluation exercise. We found that estimating LUE at site-level based on PRI reduces uncertainty compared to the approaches relying on a maximum LUE reduced by minimum temperature and vapour pressure deficit. Despite the advantages of using PRI to estimate LUE at site-level, we could not establish an universally applicable light use efficiency model based on MODIS PRI. Models that were optimised for a pool of data from several sites did not perform well.
机译:几项研究认为,直接从卫星数据获得的光化学反射指数(PRI)可以用作总初级生产力诊断模型中生态系统光利用效率(LUE)的替代物。这种建模方法将避免使用气象数据作为固定最大LUE的约束所涉及的复杂性。但是,到目前为止,尚未发布基于MODIS PRI的跨气候区域和时间的LUE预测的统一模型。在这项研究中,我们评估了基于MODIS的PRI可以用来评估不同植物功能类型和植被密度的研究地点的生态系统光利用效率的有效性。我们的目标是研究是否可以克服已知的局限性,例如对观察和照明几何形状的依赖,并且可以在广泛的条件下应用单个基于PRI的LUE模型(即基于相同的参考频带)。此外,我们对使用不同的faPAR(吸收的光合作用活性辐射的分数)产品对作为基本事实的原位LUE以及由此对整个评估工作的影响感兴趣。我们发现,与基于最大LUE减少最小温度和蒸气压不足的方法相比,基于PRI估计站点级别的LUE减少了不确定性。尽管使用PRI来估计站点级别的LUE有很多优势,但我们无法基于MODIS PRI建立通用的光利用效率模型。针对来自多个站点的数据池进行优化的模型表现不佳。

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