Use of LANDSAT 8 images for depth and water quality assessment of el Guájaro Reservoir, Colombia

The 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.

• Autores: Gonzalez Marquez, Luis Carlos; Torres Bejarano, Franklin Manuel; Torregroza Espinosa, Ana Carolina; Hansen Rodriguez, Ivette Renée; Rodriguez Gallegos, Hugo B
• Tipo de recurso: Article of journal
• Fecha de publicación: 2018
• Institución: Corporación Universidad de la Costa
• Repositorio: REDICUC - Repositorio CUC
• Idioma: eng
• OAI Identifier: oai:repositorio.cuc.edu.co:11323/1652
• Acceso en línea: https://hdl.handle.net/11323/1652; https://repositorio.cuc.edu.co/
• Palabra clave: Multispectral analysis; Remote sensing; Statistical models; Water quality
• Rights: openAccess
• License: Atribución – No comercial – Compartir igual