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UNCERTAINTIES ASSESSMENT FOR MERIS/OLCI FAPAR

机译:Meris / Olci Fapar的不确定性评估

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This paper describes the procedure for estimating the uncertainties budget of the Fraction of Absorbed Photosynthetic Active Radiation (FAPAR) derived from both ENVISAT (Medium Resolution Instrument Sensor (MERIS) and Sentinel-3/Ocean Land Colour Instrument (OLCI). This product is obtained from daily Top Of Atmosphere (TOA) data in the blue, red and nearinfrared spectral bands. The algorithm itself takes the form of a set of several formulae which transform calibrated spectral bidirectional directional reflectances (BRFs) into a single numerical value. These formulae are designed to extract the direct green FAPAR in the plant canopy and the rectified channels in the red and near-infrared bands. Following the guidelines of Quality Assurance for Earth Observation (QA4EO) [1], the uncertainties are estimated using the uncertainties propagation theory which takes into account the one associated to the inputs, i.e. the spectral reflectance measurements at the top of the atmosphere. Methodology and results using simulated data and actual MERIS data are presented.
机译:本文介绍了估计来自Envisat(中料仪器传感器(Meris)和Sentinel-3 /海洋土地彩色仪器(OLCI)的吸收光合作用活性辐射(FAPAR)的分数的不确定性预算的程序。获得该产品从大气中的每日顶部(TOA)中的蓝色,红色和接近过的光谱带。该算法本身采用一组几种公式的形式,该公式将校准的光谱双向方向反射(BRF)转换为单个数值。这些公式是旨在在红色和近红外频段中提取植物树冠的直接绿色毛裤和整流通道。在地球观察的质量保证(QA4EO)[1]后,使用不确定性传播理论估计不确定性考虑到与输入相关的一个,即大气顶部的光谱反射测量。方法展示了使用模拟数据和实际MERIS数据的ogy和结果。

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