Global Water Quality of Inland Waters with Harmonized Landsat-8 and Sentinel-2 Using Cloud-Computed Machine Learning

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Document type:: Zeitschriftenaufsatz
Author(s):: Arias-Rodriguez, Leonardo F. ; Tüzün, Ulaş Firat ; Duan, Zheng ; Huang, Jingshui ; Tuo, Ye ; Disse, Markus
Title:: Global Water Quality of Inland Waters with Harmonized Landsat-8 and Sentinel-2 Using Cloud-Computed Machine Learning
Keywords:: Article ; remote sensing ; water quality ; harmonize RS data ; machine learning ; global modeling
Journal title:: Remote Sensing
Year:: 2023
Journal volume:: 15
Journal issue:: 5
Fulltext / DOI:: doi:10.3390/rs15051390
Publisher:: MDPI
E-ISSN:: 2072-4292
Date of publication:: 01.03.2023
CC license:: by, https://creativecommons.org/licenses/by/4.0

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