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

Internet

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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