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Improving Satellite Estimates of the Fraction of Absorbed Photosynthetically Active Radiation Through Integration

机译:通过集成改善吸收光合作用辐射的分数的卫星估计

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The fraction of absorbed photosynthetically active radiation (FAPAR) is a critical input in many climate and ecological models. The targeted accuracy of FAPAR products is 10% or 0.05 for many applications. However, most current FAPAR products do not meet such requirements, and further improvements are still needed. In this study, a data fusion scheme based on the multiple resolution tree (MRT) approach is developed to integrate multiple satellite FAPAR estimates at site and regional scales. The fusion scheme removed the bias in FAPAR estimates and resulted in a 15% increase in the R2 and 3% reduction in the root mean square error (RMSE) compared with the average of individual FAPAR estimates. The regional scale fusion filled in the missing values, and provided spatially consistent FAPAR distributions at different resolutions.
机译:吸收的光合作用辐射(FAPAR)的级分是许多气候和生态模型中的关键输入。对于许多应用,FAPAR产品的目标精度为10%或0.05。然而,大多数目前的FAPAR产品不符合此类要求,仍然需要进一步的改进。在本研究中,开发了一种基于多分辨率树(MRT)方法的数据融合方案,以在现场和区域尺度上集成多个卫星费用估计。融合方案消除了FAPAR估计中的偏置,导致R2增加了15%,与单个FAPAR估计的平均值相比,R2均线误差(RMSE)减少了3%。填补缺失值的区域规模融合,并在不同分辨率下提供空间一致的FAPAR分布。

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