Deep Learning-Based Automatic Extraction of Cyanobacterial Blooms from Sentinel-2 MSI Satellite Data

Cyanobacterial harmful algal blooms (CyanoHABs) in inland water have emerged as a major global environmental challenge. Although satellite remote sensing technology has been widely used to monitor CyanoHABs, there are also some automatic extraction methods of CyanoHABs based on spectral indices (suc...

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Autors principals:	Kai Yan, Junsheng Li, Huan Zhao, Chen Wang, Danfeng Hong, Yichen Du, Yunchang Mu, Bin Tian, Ya Xie, Ziyao Yin, Fangfang Zhang, Shenglei Wang
Format:	Artigo
Idioma:	Inglês
Publicat:	MDPI AG 2022-09-01
Col·lecció:	Remote Sensing
Matèries:	cyanobacterial blooms CyanoHABs deep learning automatic extraction Chaohu Lake Sentinel-2 MSI
Accés en línia:	https://www.mdpi.com/2072-4292/14/19/4763
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