激光雷达剖面信息辅助的II类水体吸收性气溶胶影响大气校正研究

The international commonly used aerosol model and atmospheric correction algorithm are not valid, because of the absorptive aerosol (ie. black carbon and dust aerosols) over Chinese Case II waters. The project would use the passive and active all band satellite-ground integrated data, including ultraviolet, visible, near infrared and shortwave infrared information, and study the absorptive-aerosol detection theory and methodology, to obtain the spatio-temporal distribution and take some coastal and inland waters as an special study area. Considering the vertical profile information of aerosol provide by space-borne and in-situ LIDAR measurements (including CALIPSO satellite CALIOP instrument), combining the radiative transform simulation method, build multi-grouped absorptive aerosol models and lookup tables under various conditions to do atmospheric aerosol correction processing including absorptive ones based on the local modification. The atmospheric correction method would be evaluated using the in-situ spectrum and water color parameters. We wish that the applied project would be helpful to improve the accuracy of water color remote sensing and support the upcoming satellite data processing. The study could be of great theoretic value and realistic significance.

由于吸收性气溶胶（主要指黑碳、沙尘气溶胶）的普遍存在，国际上通用的气溶胶模型与大气校正算法在我国II类水体并不完全适用。本申请项目拟采用紫外、可见光、近红外、短波红外全波段主被动星地一体化探测数据，研究黑碳、沙尘吸收性气溶胶的探测理论方法，分析吸收性气溶胶存在的时空规律确定近岸和内陆水体的吸收性气溶胶大气校正典型研究区域，并考虑星载与地基激光雷达气溶胶垂直剖面信息(如：CALIPSO卫星的CALIOP传感器)，建立并完善本地化多组分并存的考虑垂直剖面信息的吸收性气溶胶模型与查找表，研究中国II 类水体的吸收性气溶胶大气校正问题；并以现场实测光谱、水色参数等数据为重点辅助信息，对大气校正算法模型进行精度和稳定性评价，最终为提高水色参数反演精度奠定基础，以期为后续卫星数据处理提供借鉴。该研究有较强的理论价值和现实意义。

由于吸收性气溶胶（主要指黑碳、沙尘气溶胶）的普遍存在，国际上通用的气溶胶模型与大气校正算法在我国II类水体并不完全适用。本项目采用主被动激光雷达与被动光学多源探测数据，研究气溶胶特性尤其是其剖面分布特征，利用辐射传输、深度学习、神经网络等方法针对不同传感器构建了大气校正算法，如GOCI、Sentinel卫星MSI、天宫二号MWI、GF-1卫星WFV和GF-5卫星AHSI等。并以现场实测光谱、水色参数等数据为基础，通过交叉定标和遥感反演两个角度开展大气校正算法模型的精度验证和评价，可以为后续卫星数据处理提供借鉴。

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