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

Cesar I. Alvarez-Mendoza, Ana Teodoro, Juan Ordonez, Andres Benitez, Alberto Freitas, Joao Fonseca

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations
Original languageEnglish
Title of host publicationRemote Sensing Technologies and Applications in Urban Environments IV
EditorsThilo Erbertseder, Nektarios Chrysoulakis, Ying Zhang, Frank Baier
PublisherSPIE
ISBN (Electronic)9781510630178
DOIs
StatePublished - 1 Jan 2019
EventRemote Sensing Technologies and Applications in Urban Environments IV 2019 - Strasbourg, France
Duration: 9 Sep 201910 Sep 2019

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume11157
ISSN (Print)0277-786X
ISSN (Electronic)1996-756X

Conference

ConferenceRemote Sensing Technologies and Applications in Urban Environments IV 2019
CountryFrance
CityStrasbourg
Period9/09/1910/09/19

Keywords

  • Air quality
  • health respiratory risk
  • Landsat-8
  • logistic regression model
  • Quito

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