Japan Geoscience Union Meeting 2025

Presentation information

[E] Oral

A (Atmospheric and Hydrospheric Sciences ) » A-CG Complex & General

[A-CG41] Satellite Earth Environment Observation

Thu. May 29, 2025 9:00 AM - 10:30 AM Exhibition Hall Special Setting (5) (Exhibition Hall 7&8, Makuhari Messe)

convener:Riko Oki(Japan Aerospace Exploration Agency), Yoshiaki HONDA(Center for Environmental Remote Sensing, Chiba University), Tsuneo Matsunaga(Center for Global Environmental Research and Satellite Observation Center, National Institute for Environmental Studies), Nobuhiro Takahashi(Institute for Space-Earth Environmental Research, Nagoya University), Chairperson:Hiroshi Murakami(Earth Observation Research Center, Japan Aerospace Exploration Agency), Yoshiaki HONDA(Center for Environmental Remote Sensing, Chiba University)

9:15 AM - 9:30 AM

[ACG41-08] Remote sensing of aerosols from satellites during the AI Era

*Chong Shi1, Husi Letu1, Chenqian Tang1, Wenwu Wang1, Ruijie Yao1, Teruyuki Nakajima2, Miho Sekiguchi3 (1.Aerospace Information Research Institute, Chinese Academy of Sciences, 2.The University of Tokyo, Japan, 3.Tokyo University of Marine Science and Technology, Japan)

Keywords:Neural network, Radiative transfer, Aerosol, Satellite remote sensing

In recent years, the artificial intelligence (AI) techniques, such as the neural network approach, have been used in atmospheric remote sensing, due to their robust ability to model complex nonlinear relationships between inputs and outputs. In this talk, we would like to introduce some new results for the retrieval of aerosols by combining the physical-based radiative transfer model and data-driven NN techniques. With this combination, higher retrieval accuracy for the aerosol optical thickness and fine mode fraction, higher calculation efficiency to achieve real-time processing, can be expected, in comparison to the traditional retrieval algorithms. In addition, some preliminary results for the retrieval of aerosol layer height will be introduced from the satellite hyperspectral measurements.