Análisis multiespectral de imágenes satelitales para evaluar variaciones espacio - temporales en la calidad del agua del embalse el Guájaro, Atlántico.

The use of satellite imagery has encouraged the development of algorithms and methodologies for estimating the parameters of water quality in surface water, so in recent years, the monitoring of water quality through technical Remote sensing is more accessible and efficient. Landsat 8 is a satellite whose purpose is to monitor the surface of the earth, through the registration of multispectral images, to generate information leading to protect the environment and the sustainability of our planet; Two sensors, the multispectral sensor Operational Land Imager (OLI) and thermal infrared sensor (TIRS). The aim of this study was to generate statistical models to estimate the parameters of water quality in the reservoir Guájaro, in northern Colombia (nitrate, fostatos, chlorophyll, turbidity, dissolved oxygen, conductivity, pH and depth) with Landsat 8 spectral images , to serve as a reference to estimate the quality of water in this reservoir. Field data were collected in three sampling campaigns during which water quality parameters were measured at different points distributed over the surface of the Guájaro Reservoir. Three Landsat 8 images (Route 53 Row 9) caught were used on the day of the field measurements, and download USGS Global Visualization Viewer (http://glovis.usgs.gov/). For satellite image processing software ENVI 5.2 was used, achieving excellent results for conductivity, turbidity and dissolved oxygen models. So we can conclude that this technology can be used and recommended to estimate the spatial variations in water quality through Guájaro tank, and to validate other parameters such as sediment transport in surface water bodies.

• Autores: Berdugo Muñoz, Anderson
• Tipo de recurso: Trabajo de grado de pregrado
• Fecha de publicación: 2016
• Institución: Corporación Universidad de la Costa
• Repositorio: REDICUC - Repositorio CUC
• Idioma: spa
• OAI Identifier: oai:repositorio.cuc.edu.co:11323/325
• Acceso en línea: http://hdl.handle.net/11323/325; https://repositorio.cuc.edu.co/
• Palabra clave: Evaluación de la Calidad del agua; Percepción remota; Análisis multiespectral de imágenes
• Rights: openAccess
• License: Atribución – No comercial – Compartir igual