Research Progress of Aerosol Remote Sensing Retrieval
Algorithm Based on Satellite Multi-Angle Observation

Abstract

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

CLC Number:

P412

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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Research Progress of Aerosol Remote Sensing Retrieval Algorithm Based on Satellite Multi-Angle Observation

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