冰、云和陆地高程卫星2号(ICESat-2)通过多波束的光子计数体制方式采集数据,使数据覆盖密度、数据精度都有很大的提高。大气中的云、气溶胶等引起的前向散射效应对数据精度有不可忽视的影响,根据ATLAS光子计数体制下的脉冲折叠数据特性,提出一种基于表观地表反射率的云检测算法,并对ICESat-2云检测及其相关算法流程进行详细梳理,研究结果对于ICESat-2数据在大气方面的应用拓展有一定的帮助,对我国后续激光测高卫星大气影响改正也有一定借鉴意义。

ICESat-2 satellite data are collected by a multi-beam photon-counting system, which greatly improves data coverage density and data accuracy. The forward-scattering effect caused by clouds and aerosols in the atmosphere significantly influences data accuracy. In this paper, an apparent surface reflectance-based cloud-detection algorithm using the pulse-folding characteristics of the ATLAS photon-counting system is proposed. The ICESat-2 cloud-detection process and its related algorithm are described in detail, which will be helpful for the application and expansion of ICESat-2 data in studies of the atmosphere. The results will provide reference that will be of significance for the correction of subsequent atmospheric effects in laser altimetry acquired by Chinese satellites.