Mostrando 6 resultados de: 6
Filtros aplicados
Publisher
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)
Área temáticas
Ingeniería sanitaria(3)
Otros problemas y servicios sociales(3)
Otras ramas de la ingeniería(2)
Agricultura y tecnologías afines(1)
Ciencias de la computación(1)
Área de conocimiento
Ciencia ambiental(3)
Sensores remotos(3)
Epidemiología(2)
Salud pública(2)
Análisis de datos(1)
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:googlescopusImproving 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: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:scopusModeling 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