Mostrando 5 resultados de: 5
Filtros aplicados
Publisher
Applied Geography(1)
Environmental Monitoring and Assessment(1)
Environments - MDPI(1)
International Geoscience and Remote Sensing Symposium (IGARSS)(1)
Proceedings of SPIE - The International Society for Optical Engineering(1)
Área temáticas
Otros problemas y servicios sociales(3)
Geología, hidrología, meteorología(2)
Otras ramas de la ingeniería(2)
Economía de la tierra y la energía(1)
Enfermedades(1)
Área de conocimiento
Ciencia ambiental(4)
Sensores remotos(2)
Aprendizaje automático(1)
Contaminación(1)
Contaminación del aire(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:googlescopusAssessment of remote sensing data to model PM10 estimation in cities with a low number of air quality stations: A case of study in Quito, Ecuador
ArticleAbstract: The monitoring of air pollutant concentration within cities is crucial for environment management anPalabras claves:air quality modeling, Air Quality Monitoring, LUR, Pm10, remote sensingAutores:César Iván Alvarez-Mendoza, Nelly Torres, Teodoro A.C., Valeria VivancoFuentes:googlescopusMONITORING PHOSPHATE LEVELS USING UNMANNED AERIAL VEHICLES ON GEOTHERMAL WATER POOLS
Conference ObjectAbstract: Remote sensors transported on an Unmanned Aerial Vehicle (UAV) give us new possibilities to collectPalabras claves:ECUADOR, Geothermal waters, Phosphates, thermal camera, UAVAutores:César Iván Alvarez-Mendoza, Teodoro A.C., Victor NoroñaFuentes: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