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.
Highlights
Water quality monitoring involves data and water sample collection in the field and subsequent laboratory analysis
dissolved organic matter (DOM) and the NDVI and NDWI values obtained from the images generated by the artificial neural networks (ANN)
We present the results of this research in three sub-sections: the results of laboratory analysis, the results of the ANN processing, and the correlations between total suspended solids (TSS) and DOM and the NDVI
Summary
Water quality monitoring involves data and water sample collection in the field and subsequent laboratory analysis. The effectiveness of the monitoring efforts depends on several factors, such as the frequency of sampling and the spatial distribution of parameters considered in the analysis [1,2,3]. Conventional water collection and analysis techniques are often costly and time-consuming, and may render water quality monitoring projects unfeasible. This is exacerbated by the locations of many water bodies, which may be in places that are difficult or dangerous to access, making on-site monitoring. There is a need to develop reliable and cost-effective spatial techniques for monitoring water quality that can be deployed [4].
Sign-in/Register to view highlights & summary Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
