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Assessment of fuel related data in the metropolitan district of quito for modeling and simulation of wildfires, case study: Atacazo hill wildfire
ArticleAbstract: The Metropolitan District of Quito (DMQ) does not have all the information needed to design wildfirePalabras claves:FlamMap, remote sensing, Wildfires modeling, Wildfires simulationAutores:César Iván Alvarez-Mendoza, Juan Gabriel Mollocana Lara, Luis Jonathan Jaramillo CoronelFuentes:scopusAssessment 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:googlescopusSimplified analysis of the influence of climate change on the melting of Chimborazo Mountain glacier using Partial Least Squares (PLS) and Remote Sensing
Conference ObjectAbstract: This study analyses the influence of climate change on the melting of snow on the Chimborazo MountaiPalabras claves:Chimborazo Mountain peak, Climate Change, Co2, ECUADOR, GIS, remote sensingAutores:César Iván Alvarez-Mendoza, Lenin Javier Ramírez CandoFuentes:googlescopusPbkp_redictive Modeling of Above-Ground Biomass in Brachiaria Pastures from Satellite and UAV Imagery Using Machine Learning Approaches
ArticleAbstract: Grassland pastures are crucial for the global food supply through their milk and meat production; hePalabras claves:above-ground biomass, machine learning pbkp_rediction, PRECISION AGRICULTURE, remote sensing, UAVAutores:Arango J., Bastidas M., Casas J., César Iván Alvarez-Mendoza, Guzman D., Ishitani M., Montenegro F., Polanco J., Selvaraj M.G., Valencia-Ortiz M.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:googlescopus