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
Clicks: 156
ID: 267900
2018
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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| 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 |
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