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

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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Bibliographic Details
Main Authors: 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: Article
Language:English
Published: MDPI AG 2022-09-01
Series:Remote Sensing
Subjects:
cyanobacterial blooms
CyanoHABs
deep learning
automatic extraction
Chaohu Lake
Sentinel-2 MSI
Online Access:https://www.mdpi.com/2072-4292/14/19/4763

Internet

https://www.mdpi.com/2072-4292/14/19/4763

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