Spatio-Temporal Variation of Cyanobacteria Blooms in Taihu Lake Using Multiple Remote Sensing Indices and Machine Learning

Spatio-Temporal Variation of Cyanobacteria Blooms in Taihu Lake Using Multiple Remote Sensing Indices and Machine Learning

In view of the ecological threat posed by cyanobacteria blooms in Taihu Lake (China), this paper presents a study on the area of cyanobacteria extent based on MODIS data using the quantum particle swarm optimization–random forest (QPSO-RF) machine learning algorithm. This paper selects multiple remo...

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Bibliographic Details
Main Authors: Xin Pan, Jie Yuan, Zi Yang, Kevin Tansey, Wenying Xie, Hao Song, Yuhang Wu, Yingbao Yang
Format: Article
Language:English
Published: MDPI AG 2024-03-01
Series:Remote Sensing
Subjects:
Taihu Lake
cyanobacteria bloom
spatio-temporal variation
QPSO-RF
spectral indices
Online Access:https://www.mdpi.com/2072-4292/16/5/889

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