Remote sensing application using Landsat 8 images for water quality assessments

Abstract This study aims to implement remote sensing to determine water quality parameters. Based on the water quality parameters measurements on February 5, 2021, and the LANDSAT 8 satellite images reflectance values, statistical models were generated by the RLM method: Stepwise Regression in Matla...

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Bibliographic Details
Published inJournal of physics. Conference series Vol. 2475; no. 1; pp. 12007 - 12018
Main Authors Cruz-Montes, E E, Durango-Banquett, M M, Torres-Bejarano, F M, Campo-Daza, G A, Padilla-Mendoza, C
Format Journal Article
LanguageEnglish
Published Bristol IOP Publishing 01.04.2023
Subjects
Dissolved oxygen
Image quality
Landsat satellites
Parameters
Physics
Quality assessment
Remote sensing
Satellite imagery
Statistical analysis
Statistical models
Turbidity
Water quality
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Summary:Abstract This study aims to implement remote sensing to determine water quality parameters. Based on the water quality parameters measurements on February 5, 2021, and the LANDSAT 8 satellite images reflectance values, statistical models were generated by the RLM method: Stepwise Regression in Matlab software and digital models through QGIS and ArcGIS Pro GIS. The models obtained for pH, temperature, and turbidity were above 0.6 R2, while dissolved oxygen was above 0.8, showing a good correlation between in situ and estimated data. It is important to avoid cloudy conditions covering the study area because they limit the mathematical models’ application, altering or preventing the results from being generated. The implementation results of this type of technology are of great relevance for future projects, where water quality assessments can be made by using national and international regulations according to the use either for human consumption or for aquatic life protection.
ISSN:1742-6588
1742-6596
DOI:10.1088/1742-6596/2475/1/012007