Integration of Remote Sensing and Mexican Water Quality Monitoring System Using an Extreme Learning Machine

Integration of Remote Sensing and Mexican Water Quality Monitoring System Using an Extreme Learning Machine

Remote Sensing, as a driver for water management decisions, needs further integration with monitoring water quality programs, especially in developing countries. Moreover, usage of remote sensing approaches has not been broadly applied in monitoring routines. Therefore, it is necessary to assess the...

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Bibliographic Details
Main Authors: Leonardo F. Arias-Rodriguez, Zheng Duan, José de Jesús Díaz-Torres, Mónica Basilio Hazas, Jingshui Huang, Bapitha Udhaya Kumar, Ye Tuo, Markus Disse
Format: Article
Language:English
Published: MDPI AG 2021-06-01
Series:Sensors
Subjects:
Landsat 8 OLI
Sentinel 2 MSI
Sentinel 3 OLCI
water quality monitoring system
extreme learning machine
support vector regression
Online Access:https://www.mdpi.com/1424-8220/21/12/4118

Internet

https://www.mdpi.com/1424-8220/21/12/4118

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