协同高分五号DPC多维观测的陆地上空气溶胶反演研究

社会生产和科学研究对高精度气溶胶产品需求迫切。地表多样性和气溶胶来源复杂性使得卫星观测反演的陆地上空气溶胶光学厚度（AOD）和Ångström指数（AE）精度普遍低于海洋上空。项目拟利用多角度偏振成像仪（DPC）的多维观测优势，提升陆地上空AOD和AE反演精度。首先，研究偏振与强度信息的动态协作以及多波段和多角度信息组合的机理与方法，结合DPC观测误差形成多维观测信息的协同方案；接着，挖掘影响地表反射波段关系的关键因素，建立依赖关键因素分化的波段关系模型，形成地表强度与偏振反射信息处理方案；最后，研究多维观测信息的自适应反演方法，解决初始输入估计、参数传递及反馈控制等科学与技术问题，并通过真实性判断约束气溶胶类型，形成应用于DPC多维观测的AOD和AE反演算法。本研究为陆地上空高精度气溶胶反演提供理论依据与技术支撑，有助于提升我国卫星气溶胶产品生产能力。

High precision aerosol products are urgently needed in social production and scientific research. Due to the diversity of land surface and the complexity of aerosol sources, the accuracy of aerosol optical depth (AOD) and Ångström exponent (AE) observed by satellite over land is generally lower than that over the ocean. We take the advantages of multi-spectral, multi-angular intensity and polarization observations of Directional Polarimetric Camera (DPC) to improve the accuracy of retrieved AOD and AE. Firstly, the mechanism of dynamic method to cooperate with polarization and intensity measurements and the cooperation method of multi-spectral and multi-angular measurements are clarified. Together with the observation error, the collaborative method of multi-dimensional observations is proposed. Then, the spectral relationship model is established to estimate the surface reflectance based on the key factors that influence the relationship. And, the method of land-atmosphere decoupling is formed based on the relationship model. Finally, the adaptive method using multi-dimensional information is studied. After establishing the methods and processes of initial input estimation, parameter transfer, feedback control and authenticity judgment to constrain aerosol properties, the retrieval algorithm of AOD and AE applying to DPC multidimensional observation is established. The research provides theoretical and technical support for the high-precision retrieval of aerosol over land and is helpful to improve the satellite retrieval of aerosol in China.