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Proceedings of SPIE - The International Society for Optical Engineering(3)
Applied Geography(1)
Environmental Monitoring and Assessment(1)
Remote Sensing Applications: Society and Environment(1)
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Comparison of satellite remote sensing data in the retrieve of PM10 air pollutant over Quito, Ecuador
Conference ObjectAbstract: Most of the large cities have an air quality network to measure air pollution including PM10. HowevePalabras claves:Air quality, Landsat, Modis, Pm10, QUITOAutores:César Iván Alvarez-Mendoza, Lenin Javier Ramírez Cando, Nelly Torres, Teodoro A.C., Valeria VivancoFuentes:googlescopusEvaluation of automatic cloud removal method for high elevation areas in Landsat 8 OLI images to improve environmental indexes computation
Conference ObjectAbstract: Thin clouds in the optical remote sensing data are frequent and in most of the cases don't allow toPalabras claves:Cirrus Band, Landsat, NDVI, QUITO, Remove CloudAutores:Alfonso R. Tierra, César Iván Alvarez-Mendoza, Teodoro A.C.Fuentes:scopusImproving NDVI by removing cirrus clouds with optical remote sensing data from Landsat-8 – A case study in Quito, Ecuador
ArticleAbstract: The Andean region has a high cloud density throughout the year. The use of optical remote sensing daPalabras claves:Cloud removal, Landsat-8 OLI, NDVI, Optical remote sensing, QUITOAutores:César Iván Alvarez-Mendoza, Lenin Javier Ramírez Cando, Teodoro A.C.Fuentes:googlescopusModeling the prevalence of respiratory chronic diseases risk using satellite images and environmental data
Conference ObjectAbstract: Several studies have demonstrated that air quality and weather changes have influence in the prevalePalabras claves:Air quality, health respiratory risk, Landsat-8, logistic regression model, QUITOAutores:Andres Benitez, César Iván Alvarez-Mendoza, Fonseca J., Freitas A., Juan Ordonez, Teodoro A.C.Fuentes:googlescopusSpatial estimation of chronic respiratory diseases based on machine learning procedures—an approach using remote sensing data and environmental variables in quito, Ecuador
ArticleAbstract: Over the last few years, the use of remote sensing data in different applications such as estimationPalabras claves:Machine learning, QUITO, remote sensing, Respiratory disease, Spatial modelsAutores:César Iván Alvarez-Mendoza, Fonseca J., Freitas A., Teodoro A.C.Fuentes:googlescopusSpatial estimation of surface ozone concentrations in Quito Ecuador with remote sensing data, air pollution measurements and meteorological variables
ArticleAbstract: Surface ozone is problematic to air pollution. It influences respiratory health. The air quality monPalabras claves:Air modelling, Landsat 8, Ozone, PLS, QUITOAutores:César Iván Alvarez-Mendoza, Lenin Javier Ramírez Cando, Teodoro A.C.Fuentes:googlescopus