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    星载单光子激光雷达水体光学参数反演及其精度验证

    Retrieval And Accuracy Validation of Water Optical Parameters From Spaceborne Photon-Counting Lidar

    • 摘要: 目前ICESat-2/ATLAS系统已经提供了许多对地观测数据产品,然而实际水体受水-气界面折射效应、水体不均匀性及海面波浪起伏等影响,现有的水体光学参数反演算法适用性不足,估计值与真实值之间存在不确定性偏差;由于单光子探测器特有的后脉冲效应,在主信号脉冲后还会出现一个小幅度脉冲回波,从而使得测量信号系统性偏大。因此,提出了一种包含信号光子分类、误差修正、水体伪波形生成、后脉冲去除、水体参数估计等步骤的ICESat-2激光雷达水体光学参数反演方法,并在美国阿拉斯加湾以及中国东海与MODIS光学参数进行了大规模的对比验证。结果表明,ICESat-2反演的漫射衰减系数Kd与MODIS产品在两区域的平均误差分别为17%和18%,后向散射系数bb的对应平均误差分别为24%和41%,证实了星载单光子激光雷达反演海洋生物光学参数的有效性,可以为未来国产星载海洋单光子激光雷达反演算法提供参考。

       

      Abstract: To date, ICESat-2/ATLAS has delivered numerous earth observation data products. Nevertheless, in practical aquatic environments, factors such as refraction effects at the air-water interface, water column inhomogeneity, and sea surface wave undulations lead to insufficient applicability of existing inversion algorithms for aquatic optical parameters, resulting in uncertain deviations between estimated values and true values. Additionally, due to the inherent afterpulse effect of photon-counting detectors, a small-amplitude pulse echo emerges subsequent to the main signal pulse, causing a systematic overestimation of measured signals. Therefore, this study proposes an inversion method for aquatic optical parameters using ICESat-2 lidar data, encompassing steps such as signal photon classification, error correction, aquatic pseudo-waveform generation, afterpulse removal, and aquatic parameter estimation. Large-scale comparative validation is conducted against MODIS optical parameters in the Gulf of Alaska (United States) and the East China Sea (China). Results demonstrate that the average errors of the diffuse attenuation coefficient (Kd) retrieved by ICESat-2 compared with MODIS products in the two regions are 17% and 18% respectively, while the corresponding average errors of the backscattering coefficient (bb) are 24% and 41% respectively. This confirms the effectiveness of spaceborne photon-counting lidar in retrieving marine bio-optical parameters, which can serve as a reference for inversion algorithm development of future domestic spaceborne marine photon-counting lidar systems.

       

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