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首页> 外文期刊>Remote Sensing of Environment: An Interdisciplinary Journal >Assessing FPAR source and parameter optimization scheme in application of a diagnostic carbon flux model
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Assessing FPAR source and parameter optimization scheme in application of a diagnostic carbon flux model

机译：在诊断性碳通量模型应用中评估FPAR源和参数优化方案

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The combination of satellite remote sensing and carbon cycle models provides an opportunity for regional to global scale monitoring of terrestrial gross primary production, ecosystem respiration, and net ecosystem production. FPAR (the fraction of photosynthetically active radiation absorbed by the plant canopy) is a critical input to diagnostic models, however little is known about the relative effectiveness of FPAR products from different satellite sensors nor about the sensitivity of flux estimates to different parameterization approaches. In this study, we used multiyear observations of carbon flux at four eddy covariance flux tower sites within the conifer biome to evaluate these factors. FPAR products from the MODIS and SeaWiFS sensors, and the effects of single site vs. cross-site parameter optimization were tested with the CFLUX model. The SeaWiFs FPAR product showed greater dynamic range across sites and resulted in slightly reduced flux estimation errors relative to the MODIS product when using cross-site optimization. With site-specific parameter optimization, the flux model was effective in capturing seasonal and interannual variation in the carbon fluxes at these sites. The cross-site prediction errors were lower when using parameters from a crosssite optimization compared to parameter sets from optimization at single sites. These results support the practice of multisite optimization within a biome or ecoregion for parameterization of diagnostic carbon flux models.
机译：卫星遥感和碳循环模型的结合为区域到全球规模的陆地总初级生产，生态系统呼吸和净生态系统生产提供了机会。 FPAR（植物冠层吸收的光合有效辐射的比例）是诊断模型的关键输入，然而，关于来自不同卫星传感器的FPAR产品的相对有效性以及通量估计对不同参数化方法的敏感性知之甚少。在这项研究中，我们使用了针叶生物群内四个涡流协方差通量塔位置的碳通量的多年观测值来评估这些因素。使用CFLUX模型测试了来自MODIS和SeaWiFS传感器的FPAR产品，以及单站点与跨站点参数优化的效果。使用跨站点优化时，相对于MODIS产品，SeaWiFs FPAR产品显示出跨站点更大的动态范围，并导致通量估计误差略有减少。通过特定地点的参数优化，通量模型可以有效地捕获这些地点的碳通量的季节性和年度变化。与使用单个站点优化的参数集相比，使用跨站点优化的参数时跨站点预测误差要低。这些结果支持在生物群落或生态区域内对诊断性碳通量模型进行参数化的多站点优化实践。

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