基于DPC 的中国部分区域陆地气溶胶光学厚度反演

大气气溶胶是气候变化与遥感定量化等的重要影响因素, 研究气溶胶光学特性具有重要意义。基于高分五号 卫星搭载的大气气溶胶多角度偏振探测仪 (Directional polarimetric camera, DPC) 过境中国区域的数据, 开展了气溶胶 光学厚度的反演研究。基于矢量辐射传输模型 6SV 计算构建气溶胶光学特性查找表, 采用 Ross-Li 地表 BRDF 模型 和半经验 NB 模型计算地表贡献, 利用标量与偏振的多角度信息和查找表方法, 反演气溶胶光学厚度。 DPC 气溶胶光 学厚度反演结果与中国区域的 AERONET 地面站点测量结果吻合性较好, 线性拟合度较高, 相关性系数大于 0.8, 验证 了算法的可靠性, 为 DPC 有效监测气溶胶的时空分布提供技术支持。

Retrieval of Aerosol Optical Depth Over Parts of China Land Based on Directional Polarimetric Camera

Atmospheric aerosol is an important influence factor of climate change and remote sensing quantification, so it is of great significance to study aerosol optical properties. Based on the measurements of directional polarimetric camera (DPC) onboard GF-5 satellite over China, the retrieval of aerosol optical depth (AOD) is carried out. Based on the vector radiative transfer model 6sv, a look-up table of aerosol optical properties is constructed. Then the contribution of land surface is calculated by Ross Li surface BRDF model and semi empirical NB model. Finally, AOD is retrieved by using multi angle information of intensity and polarization and look-up table method. It is found that the retrieval results of DPC aerosol optical depth are in good agreement with the observation results of AERONET ground stations in China, the linear fitting degree is good and the correlation coefficient is greater than 0.8, which verifies the reliability of the algorithm. And it is believed that the development of the algorithm provides technical support for DPC to effectively monitor the spatial and temporal distribution of aerosols.