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A Method for Chlorophyll-a and Suspended Solids Prediction through Remote Sensing and Machine Learning †

Total Suspended Solids (TSS) and chlorophyll-a concentration are two critical parameters to monitor water quality. Since directly collecting samples for laboratory analysis can be expensive, this paper presents a methodology to estimate this information through remote sensing and Machine Learning (M...

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Detalles Bibliográficos
Autores principales:	Silveira Kupssinskü, Lucas, Thomassim Guimarães, Tainá, Menezes de Souza, Eniuce, C. Zanotta, Daniel, Roberto Veronez, Mauricio, Gonzaga, Luiz, Mauad, Frederico Fábio
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	MDPI 2020
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7181123/ https://www.ncbi.nlm.nih.gov/pubmed/32283787 http://dx.doi.org/10.3390/s20072125

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