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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

2018; Multidisciplinary Digital Publishing Institute; Volume: 18; Issue: 1 Linguagem: Inglês

10.3390/s18010159

1424-8220

Maurício Roberto Veronez, Lucas Silveira Kupssinskü, Tainá Thomassim Guimarães, Emilie C. Koste, Juarez M da Silva, Laís Vieira de Souza, William Ferreira Moreno Oliverio, Rogélio S Jardim, Ismael Érique Koch, Jonas G. de Souza, Luiz Gonzaga, Frederico Fábio Mauad, Leonardo Campos Inocêncio, Fabiane Bordin,

Water Quality and Pollution Assessment

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.