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首页> 外文期刊>Remote Sensing of Environment: An Interdisciplinary Journal >Uncertainty estimates for the FAPAR operational products derived from MERIS - Impact of top-of-atmosphere radiance uncertainties and validation with field data
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Uncertainty estimates for the FAPAR operational products derived from MERIS - Impact of top-of-atmosphere radiance uncertainties and validation with field data

机译:源自MERIS的FAPAR操作产品的不确定性估算-大气层顶部辐射不确定性的影响以及现场数据的验证

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This paper discusses the accuracy of the operational Medium Resolution Imaging Spectrometer (MERIS) Level 2 land product which corresponds to the Fraction of Absorbed Photosynthetically Active Radiation (FAPAR). The FAPAR value is estimated from daily MERIS spectral measurements acquired at the top-of-atmosphere, using a physically based approach. The products are operationally available at the reduced spatial resolution, i.e. 1.2 km, and can be computed at the full spatial resolution, i.e. at 300 m, from the top-of-atmosphere MERIS data by using the same algorithm. The quality assessment of the MERIS FAPAR products capitalizes on the availability of five years of data acquired globally. The actual validation exercise is performed in two steps including, first, an analysis of the accuracy of the FAPAR algorithm itself with respect to the spectral measurements uncertainties and, second, with a direct comparison of the FAPAR time series against ground-based estimations as well as similar FAPAR products derived from other optical sensor data. The results indicate that the impact of top-of-atmosphere radiance uncertainties on the operational MERIS FAPAR products accuracy is expected to be at about 5-10% and the agreement with the ground-based estimates over different canopy types is achieved within +/- 0.1. (c) 2007 Elsevier Inc. All rights reserved.
机译:本文讨论了可操作的中分辨率成像光谱仪(MERIS)2级陆地产品的精度,该精度对应于吸收的光合有效辐射分数(FAPAR)。 FAPAR值是使用基于物理的方法根据在大气层顶部获取的每日MERIS光谱测量值估算得出的。这些产品可在降低的空间分辨率(即1.2 km)上操作获得,并且可以使用相同算法从大气层MERIS数据以全空间分辨率(即300 m)进行计算。 MERIS FAPAR产品的质量评估利用了全球五年来获得的数据的可用性。实际的验证工作分两个步骤进行,第一步是分析FAPAR算法本身相对于频谱测量不确定性的准确性,第二步是将FAPAR时间序列与基于地面的估计值进行直接比较与从其他光学传感器数据得出的类似FAPAR产品一样。结果表明,大气辐射亮度不确定性对MERIS FAPAR产品运行精度的影响预计约为5-10%,并且与不同冠层类型的地面估算值之间的一致性为+/- 0.1。 (c)2007 Elsevier Inc.保留所有权利。

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