Retrieval of Chlorophyll-a Concentrations Using Sentinel-2 MSI Imagery in Lake Chagan Based on Assessments with Machine Learning Models

Chlorophyll-a (Chl-a) is an important characterized parameter of lakes. Monitoring it accurately through remote sensing is thus of great significance for early warnings of water eutrophication. Sentinel Multispectral Imager (MSI) images from May to September between 2020 and 2021 were used along wit...

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Bibliographic Details

Published in:	Remote Sensing
Main Authors:	Xuming Shi, Lingjia Gu, Tao Jiang, Xingming Zheng, Wen Dong, Zui Tao
Format:	Article
Language:	English
Published:	MDPI AG 2022-10-01
Subjects:	Chlorophyll-a Lake Chagan Sentinel-2 seasonal pattern machine learning
Online Access:	https://www.mdpi.com/2072-4292/14/19/4924