基于卫星多角度观测的气溶胶遥感反演算法研究进展

摘要/Abstract

摘要： 对国际上双角度、多角度及偏振卫星气溶胶遥感反演算法的最新研究进展进行了综述。双角度遥感作为多角度遥感的一种典型情况, 算法的核心思想同样适用于两个传感器在几乎同时对同一地区进行观测的情况。以双角度观测的沿轨扫描辐射计 (ATSR) 系列传感器为例, 总结了 ADV (ATSR dual view)、 SU (Swansea University) 和 ORAC (Oxford-RAL aerosol and cloud) 最优估计等典型的气溶胶反演算法原理及最新研究进展。在此基础上, 以当前国际上采用多角度观测的星载和机载传感器为例, 介绍并总结了星载多角度标量反演算法、星载和机载多角度偏振反演方法的最新研究进展。通过系统发掘双角度和多角度传感器在气溶胶卫星及机载遥感研究中的优势和潜力, 为我国多角度及偏振遥感反演算法的设计和发展提供了有效参考和关键支撑。

关键词: 气溶胶遥感, 双角度, 多角度, 偏振, 反演算法

Abstract: The latest research progress of international dual-angle, multi-angle and polarization aerosol satellite remote sensing inversion algorithms are reviewed. As a special case of multi-angle remote sensing, the core idea of inversion algorithm for dual-angle aerosol remote sensing can also be applicable to the situation where two sensors are observing the same area almost simultaneously. Taking the dual-angle observation along-track scanning radiometer (ATSR) series sensor as an example, the algorithm principles and latest research progress of the typical aerosol inversions, including ATSR dual view (ADV), Swansea University (SU) and Oxford-RAL aerosol and cloud (ORAC) optimal estimation inversion algorithms, are summarized systematically. On this basis, taking the current international spaceborne and airborne sensors with multi-angle observations as examples, the latest research progress of spaceborne multi-angle scalar inversion algorithms and spaceborne and airborne multi-angle polarization inversion methods are further summarized and discussed, respectively. By this means, the application advantages and potential of satellite and airborne multi-angle (including dual-angle) sensors in aerosol remote sensing research are explored and demonstrated, which provides an effective reference and key support for the design and development of multi-angle and polarization remote sensing inversion algorithms in China.

Key words: aerosol remote sensing, dual-angle, multi-angle, polarization, inversion algorithms

中图分类号:

P412

吴孔逸, 侯伟真∗, 史正, 许华, 温亚南. 基于卫星多角度观测的气溶胶遥感反演算法研究进展[J]. 大气与环境光学学报, 2021, 16(4): 283-298.

WU Kongyi, HOU Weizhen∗, SHI Zheng, XU Hua, WEN Yanan. Research Progress of Aerosol Remote Sensing Retrieval Algorithm Based on Satellite Multi-Angle Observation[J]. Journal of Atmospheric and Environmental Optics, 2021, 16(4): 283-298.

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