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摘要：  太阳诱导叶绿素荧光(Solar-Induced Chlorophyll Fluorescence，SIF)是陆表植被在自然光照条件下进行光合作用时释放的一种光信号。SIF携带有重要的光合作用信息，通过卫星遥感的方法探测区域—全球SIF信号为大尺度植被光合作用监测打开了新世界的大门。我国预计于2020年前后发射的陆地生态系统碳卫星(陆碳卫星)将搭载超光谱分辨率载荷，有望成为全球范围内第一个针对陆表植被SIF进行专门观测的卫星传感器。数据驱动算法是陆碳卫星远红波段SIF反演的主算法，作为一种半经验算法，需结合传感器指标进行参数优化。依据陆碳卫星超光谱载荷的设计指标，基于仿真数据进行了端对端反演模拟，讨论了不同潜在反演窗口下SIF反演的精度(精密度与准确度)，确定了不同反演窗口所需的主成分个数(nv)，分析了不同反演窗口内反演精度对荧光波形函数(hF)的敏感性。结果表明:随着反演窗口的拓宽，SIF反演的精密度(鲁棒性)提升，但准确度下降，且对nv及hF的敏感性增强。综合考虑各因素，确定了735~758 nm作为陆碳卫星远红波段SIF反演的主窗口，同时nv取6，hF设置为单峰高斯函(μ=740 nm，σ=30 nm)。基于近地表和航空遥感数据的SIF反演结果验证了所设计算法的可行性和合理性。研究结果将为陆碳卫星升空后SIF的反演及产品发布提供重要参考。   关键词：  ')" href="#">太阳诱导叶绿素荧光(SIF)；陆地生态系统碳监测卫星；数据驱动算法；高光谱遥感      Abstract: Solar-Induced Chlorophyll Fluorescence (SIF)，which is emitted by photosystem during photosynthesis under natural illumination，carries important information of actual photosynthesis of plants.Spaceborne remote sensing of SIF provides an unprecedented opportunity for monitoring global photosynthesis at regional to global scales.Up to date，in-orbit operational spaceborne sensors that are available for SIF retrieval are originally designed for atmosphere monitoring.The hyperspectral sensor onboard Chinese Terrestrial Ecosystem Carbon Inventory Satellite (CTECS) is expected to be the first operational spaceborne sensor that is specifically designed for sensing SIF from space (scheduled to be launched around 2020，2 years before the Fluorescence Explorer (FLEX) Mission).Data-driven approach has been selected as the main algorithm for far-red SIF retrieval for CTECS，but is to be refined and assessed according to sensor specifications (e.g.spectral resolution and signal-to-noise ratio).In this context，this study aims to improve the designment of far-red SIF retrieval method for CTECS.based on end-to-end simulation，we evaluate the precision and accuracy of SIF retrieval in several potential windows.We then analyze the sensitivity of SIF retrieval to number of features (nv) and fluorescence spectral shape function (hF) in the forward model in different windows.Results show that a broader fitting window increases retrieval precision，but is accompanied with lower accuracy and stronger sensitivity to nv and  hF.Considering both retrieval precision and accuracy，the window of 735~758 nm with nv set to 6 and hFset as single peak Gaussian function (μ=740 nm and σ=30 nm) is selected as optimal fitting window for CTECS.SIF retrieval results based on proximal and airborne remote sensing data demonstrate the feasibility and reasonability of the designed method.Our results provide an important reference for far-red SIF retrieval for CTECS.

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