Proposal of a Method to Determine the Correlation between Total Suspended Solids and Dissolved Organic Matter in Water Bodies from Spectral Imaging and Artificial Neural Networks

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ID: 267900
2018
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Abstract
Water quality monitoring through remote sensing with UAVs is best conducted using multispectral sensors; however, these sensors are expensive. We aimed to predict multispectral bands from a low-cost sensor (R, G, B bands) using artificial neural networks (ANN). We studied a lake located on the campus of Unisinos University, Brazil, using a low-cost sensor mounted on a UAV. Simultaneously, we collected water samples during the UAV flight to determine total suspended solids (TSS) and dissolved organic matter (DOM). We correlated the three bands predicted with TSS and DOM. The results show that the ANN validation process predicted the three bands of the multispectral sensor using the three bands of the low-cost sensor with a low average error of 19%. The correlations with TSS and DOM resulted in R2 values of greater than 0.60, consistent with literature values.
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veronez2018sensorsproposal Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Maurício R. Veronez;Lucas S. Kupssinskü;Tainá T. Guimarães;Emilie C. Koste;Juarez M. Da Silva;Laís V. De Souza;William F. M. Oliverio;Rogélio S. Jardim;Ismael É. Koch;Jonas G. De Souza;Luiz Gonzaga;Frederico F. Mauad;Leonardo C. Inocencio;Fabiane Bordin;R. Veronez, Maurício;Kupssinskü, Lucas S.;T. Guimarães, Tainá;Koste, Emilie C.;Da Silva, Juarez M.;De Souza, Laís V.;Oliverio, William F. M.;Jardim, Rogélio S.;Koch, Ismael É.;De Souza, Jonas G.;Gonzaga, Luiz;Mauad, Frederico F.;Inocencio, Leonardo C.;Bordin, Fabiane;
Journal sensors
Year 2018
DOI
10.3390/s18010159
URL
https://www.mdpi.com/1424-8220/18/1/159
Keywords
artificial neural networks unmanned aerial vehicles correlation water quality monitoring spectral imaging

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