Cloud-Type Classification for Southeast China Based on Geostationary Orbit EO Datasets and the LighGBM Model

The study of clouds and their characteristics provides important information for understanding climate change and its impacts as it provides information on weather conditions and forecasting. In this study, Earth observation (EO) data from the FY4A AGRI and Himawari-8 CLP products were used to class...

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Hlavní autoři:	Jianan Lin, Yansong Bao, George P. Petropoulos, Abouzar Mehraban, Fang Pang, Wei Liu
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	MDPI AG 2023-12-01
Edice:	Remote Sensing
Témata:	cloud classification FY-4A LightGBM Bayesian optimization
On-line přístup:	https://www.mdpi.com/2072-4292/15/24/5660
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