气溶胶
遥感
环境科学
辐射传输
大气辐射传输码
大气(单位)
航空网
海洋色
旋光计
旋光法
激光雷达
气象学
地质学
卫星
物理
光学
散射
天文
作者
Cheng Fan,Guangliang Fu,Antonio Di Noia,Martijn Smit,Jeroen Rietjens,R. A. Ferrare,S. P. Burton,Zhengqiang Li,Otto Hasekamp
出处
期刊:Remote Sensing
[MDPI AG]
日期:2019-12-03
卷期号:11 (23): 2877-2877
被引量:24
摘要
For aerosol retrieval from multi-angle polarimetric (MAP) measurements over the ocean it is important to accurately account for the contribution of the ocean-body to the top-of-atmosphere signal, especially for wavelengths <500 nm. Performing online radiative transfer calculations in the coupled atmosphere ocean system is too time consuming for operational retrieval algorithms. Therefore, mostly lookup-tables of the ocean body reflection matrix are used to represent the lower boundary in an atmospheric radiative transfer model. For hyperspectral measurements such as those from Spectro-Polarimeter for Planetary Exploration (SPEXone) on the NASA Plankton, Aerosol, Cloud and ocean Ecosystem (PACE) mission, also the use of look-up tables is unfeasible because they will become too big. In this paper, we propose a new method for aerosol retrieval over ocean from MAP measurements using a neural network (NN) to model the ocean body reflection matrix. We apply the NN approach to synthetic SPEXone measurements and also to real data collected by SPEX airborne during the Aerosol Characterization from Polarimeter and Lidar (ACEPOL) campaign. We conclude that the NN approach is well capable for aerosol retrievals over ocean, introducing no significant error on the retrieved aerosol properties
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