Identifying algal bloom types and analyzing their diurnal variations using GOCI-Ⅱ data

Frequent algal blooms pose a serious threat to the marine ecosystem of the East China Sea. The Geostationary Ocean Color Imager-Ⅱ (GOCI-Ⅱ), a second-generation geostationary satellite sensor, is crucial for monitoring marine environmental dynamics. To evaluate the potential of GOCI-II for identifyin...

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發表在:	International Journal of Applied Earth Observations and Geoinformation
Main Authors:	Renhu Li, Fang Shen, Yuan Zhang, Zhaoxin Li, Songyu Chen
格式:	Article
語言:	英语
出版:	Elsevier 2025-02-01
主題:	GOCI-Ⅱ Atmospheric Correction Machine learning Algal Bloom Types Diurnal variation East China Sea
在線閱讀:	http://www.sciencedirect.com/science/article/pii/S156984322500024X