Surface Water Salinity Evaluation and Identification for Using Remote Sensing Data and Machine Learning Approach

Surface Water Salinity Evaluation and Identification for Using Remote Sensing Data and Machine Learning Approach

Knowledge of the spatio-temporal distribution of salinity provides valuable information for understanding different processes between biota and environment, especially in hypersaline lakes. Remote sensing techniques have been used for monitoring different components of the environment. Currently, on...

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Bibliographic Details
Main Authors: Raisa Borovskaya, Denis Krivoguz, Sergei Chernyi, Efim Kozhurin, Victoria Khorosheltseva, Elena Zinchenko
Format: Article
Language:English
Published: MDPI AG 2022-02-01
Series:Journal of Marine Science and Engineering
Subjects:
correlation analysis
GIS
linear regression
remote sensing
maritime
water salinity
Online Access:https://www.mdpi.com/2077-1312/10/2/257

Internet

https://www.mdpi.com/2077-1312/10/2/257

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