Robotics & Machine Learning Daily News2024,Issue(Jan.1) :88-89.

Researchers from Beijing Normal University Detail New Studies and Findings in the Area of Machine Learning (Retrieval of Suspended Sediment Concentrations Using Remote Sensing and Machine Learning Methods: a Case Study of the Lower Yellow River)

Robotics & Machine Learning Daily News2024,Issue(Jan.1) :88-89.

Researchers from Beijing Normal University Detail New Studies and Findings in the Area of Machine Learning (Retrieval of Suspended Sediment Concentrations Using Remote Sensing and Machine Learning Methods: a Case Study of the Lower Yellow River)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Research findings on Machine Learning are discussed in a new report. According to newsreporting from Beijing, People’s Republic of China, by NewsRx journalists, research stated, “Monitoringsuspended sediment concentrations (SSCs) of channel waters is essential for evaluating important issuessuch as erosion, sediment transport and deposition, reservoir siltation, and water pollution throughoutwatersheds. Remote sensing technology provides a new approach to large-scale SSC monitoring, but theaccuracy of existing retrieval methods based on remote sensing technology still needs to be improved forcomplex environments.”

Key words

Beijing/People’s Republic of China/Asia/Cyborgs/Emerging Technologies/Machine Learning/Remote Sensing/Technology/Beijing Normal University

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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