A Deep-Learning and Transfer-Learning Hybrid Aerosol Retrieval Algorithm for FY4-AGRI: Development and Verification over Asia

The Advanced Geosynchronous Radiation Imager (AGRI) is a mission-critical instrument for the Fengyun series of satellites. AGRI acquires full-disk images every 15 min and views East Asia every 5 min through 14 spectral bands, enabling the detection of highly variable aerosol optical depth (AOD). Qua...

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Autori principali:	Disong Fu, Hongrong Shi, Christian A. Gueymard, Dazhi Yang, Yu Zheng, Huizheng Che, Xuehua Fan, Xinlei Han, Lin Gao, Jianchun Bian, Minzheng Duan, Xiangao Xia
Natura:	Artigo
Lingua:	Inglês
Pubblicazione:	Elsevier 2024-07-01
Serie:	Engineering
Soggetti:	Aerosol optical depth Retrieval algorithm Deep learning Transfer learning Advanced Geosynchronous Radiation Imager
Accesso online:	http://www.sciencedirect.com/science/article/pii/S2095809924000262
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