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pro vyhledávání: '"Sergio I. Martinez-Martinez"'
Autor:
Leonardo F. Arias-Rodriguez, Zheng Duan, Rodrigo Sepúlveda, Sergio I. Martinez-Martinez, Markus Disse
Publikováno v:
Remote Sensing, Vol 12, Iss 10, p 1586 (2020)
Remote-sensing-based machine learning approaches for water quality parameters estimation, Secchi Disk Depth (SDD) and Turbidity, were developed for the Valle de Bravo reservoir in central Mexico. This waterbody is a multipurpose reservoir, which prov
Externí odkaz:
https://doaj.org/article/82ec975bb2804d12b0380259b10f6061
