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dc.creatorGonzalez Marquez, Luis Carlos
dc.creatorTorres Bejarano, Franklin Manuel
dc.creatorTorregroza Espinosa, Ana Carolina
dc.creatorHansen Rodriguez, Ivette Renée
dc.creatorRodriguez Gallegos, Hugo B
dc.date.accessioned2018-11-21T19:07:21Z
dc.date.available2018-11-21T19:07:21Z
dc.date.issued2018-03
dc.identifier.issn08959811
dc.identifier.urihttp://hdl.handle.net/11323/1652
dc.description.abstractThe aim of this study was to evaluate the viability of using Landsat 8 spectral images to estimate water quality parameters and depth in El Guájaro Reservoir. On February and March 2015, two samplings were carried out in the reservoir, coinciding with the Landsat 8 images. Turbidity, dissolved oxygen, electrical conductivity, pH and depth were evaluated. Through multiple regression analysis between measured water quality parameters and the reflectance of the pixels corresponding to the sampling stations, statistical models with determination coefficients between 0.6249 and 0.9300 were generated. Results indicate that from a small number of measured parameters we can generate reliable models to estimate the spatial variation of turbidity, dissolved oxygen, pH and depth, as well the temporal variation of electrical conductivity, so models generated from Landsat 8 can be used as a tool to facilitate the environmental, economic and social management of the reservoir.spa
dc.language.isoengeng
dc.publisherJournal Of South American Earth Scienceseng
dc.rightsAtribución – No comercial – Compartir igualeng
dc.subjectMultispectral analysiseng
dc.subjectRemote sensingeng
dc.subjectStatistical modelseng
dc.subjectWater qualityeng
dc.titleUse of LANDSAT 8 images for depth and water quality assessment of el Guájaro Reservoir, Colombiaeng
dc.typeArticleeng


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