CALIOP是首个能观测全球大气状态的星载偏振激光雷达, 自2006年发射以来, 为研究全球气候和环境变化提供了大量的第一手数据资料, 在大气遥感领域具有重要的现实意义。文中系统介绍了星载激光雷达CALIOP的功能结构、数据产品以及数据处理过程。重点介绍了CALIOP的层次识别、场景分类和消光反演的算法原理和流程。

As the first space-borne polarization lidar to observe the state of the global atmosphere, CALIOP has provided large number of first-hand data on global climate and environmental changes since being launched in 2006. It has been proved to be a promising tool in the field of atmosphere remote sensing. In this paper, the functional structure, data products, and data processing of CALIOP were introduced. Moreover, the principles and processes of layer detection, scene classification and extinction retrieval were also especially emphasized.