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...
Main Authors: | Lucas Silveira Kupssinskü, Tainá Thomassim Guimarães, Eniuce Menezes de Souza, Daniel C. Zanotta, Mauricio Roberto Veronez, Luiz Gonzaga, Frederico Fábio Mauad |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2020-04-01
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Series: | Sensors |
Subjects: | |
Online Access: | https://www.mdpi.com/1424-8220/20/7/2125 |
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