Modeling the prevalence of respiratory chronic diseases risk using satellite images and environmental data-Reference-Cited by-同舟云学术

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Modeling the prevalence of respiratory chronic diseases risk using satellite images and environmental data

Published:2019-10-02 Issue: Volume: Page:
ISSN:
Container-title:Remote Sensing Technologies and Applications in Urban Environments IV
language:
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Author:

Alvarez Cesar Ivan,Teodoro Ana Claudia,Ordoñez Juan,Benitez Andres,Freitas Alberto,Fonseca Joao

Publisher

SPIE

Reference42 articles.

1. WHO., “Chronic respiratory diseases (CRDs),” WHO, 2019, (21 June 2019).

2. Acute respiratory health effects of air pollution on children with asthma in US inner cities

3. Ten principles for climate, environment and respiratory health

4. DEVELOPMENT OF SPATIAL SCALING TECHNIQUE OF FOREST HEALTH SAMPLE POINT INFORMATION

5. Spatial estimation of surface ozone concentrations in Quito Ecuador with remote sensing data, air pollution measurements and meteorological variables

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Spatial estimation of chronic respiratory diseases based on machine learning procedures—an approach using remote sensing data and environmental variables in quito, Ecuador;Applied Geography;2020-10

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