Spatial estimation of chronic respiratory diseases based on machine learning procedures—an approach using remote sensing data and environmental variables in quito, Ecuador-Reference-Cited by-同舟云学术

Spatial estimation of chronic respiratory diseases based on machine learning procedures—an approach using remote sensing data and environmental variables in quito, Ecuador

Published:2020-10 Issue: Volume:123 Page:102273
ISSN:0143-6228
Container-title:Applied Geography
language:en
Short-container-title:Applied Geography

Author:

Alvarez-Mendoza Cesar I.,Teodoro Ana,Freitas Alberto,Fonseca Joao

Funder

University of Porto

Publisher

Elsevier BV

Subject

Tourism, Leisure and Hospitality Management,General Environmental Science,Geography, Planning and Development,Forestry

Reference80 articles.

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3. Spatial estimation of surface ozone concentrations in Quito Ecuador with remote sensing data, air pollution measurements and meteorological variables;Alvarez-Mendoza;Environmental Monitoring and Assessment,2019

4. Estimación de la contaminación del aire por PM10 en Quito a través de índices ambientales con imágenes LANDSAT ETM+;Alvarez;Revista Cartografica,2016

5. Modeling the prevalence of respiratory chronic diseases risk using satellite images and environmental data;Alvarez,2019

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