Satellite and Machine Learning Monitoring of Optically Inactive Water Quality Variability in a Tropical River

Satellite and Machine Learning Monitoring of Optically Inactive Water Quality Variability in a Tropical River

Large-scale monitoring of water quality parameters (WQPs) is one of the most critical issues for protecting and managing water resources. However, monitoring optically inactive WQPs, such as total nitrogen (TN), ammoniacal nitrogen (AN), and total phosphorus (TP) in inland waters, is still challengi...

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Bibliographic Details
Main Authors: Ning Li, Ziyu Ning, Miao Chen, Dongming Wu, Chengzhi Hao, Donghui Zhang, Rui Bai, Huiran Liu, Xin Chen, Wei Li, Wen Zhang, Yicheng Chen, Qinfen Li, Lifu Zhang
Format: Article
Language:English
Published: MDPI AG 2022-10-01
Series:Remote Sensing
Subjects:
machine learning
multispectral remote sensing
optically inactive water quality monitoring
total nitrogen (TN)
ammoniacal nitrogen (AN)
total phosphorus (TP)
Online Access:https://www.mdpi.com/2072-4292/14/21/5466

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https://www.mdpi.com/2072-4292/14/21/5466

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