Your browser doesn't support javascript.
loading
Estimating monthly PM2.5 concentrations from satellite remote sensing data, meteorological variables, and land use data using ensemble statistical modeling and a random forest approach.
Chen, Chu-Chih; Wang, Yin-Ru; Yeh, Hung-Yi; Lin, Tang-Huang; Huang, Chun-Sheng; Wu, Chang-Fu.
Affiliation
  • Chen CC; Division of Biostatistics and Bioinformatics, Institute of Population Health Sciences, National Health Research Institutes, Taiwan; Research Center for Environmental Medicine, Kaohsiung Medical University, Taiwan. Electronic address: ccchen@nhri.edu.tw.
  • Wang YR; Division of Biostatistics and Bioinformatics, Institute of Population Health Sciences, National Health Research Institutes, Taiwan.
  • Yeh HY; Center for Space and Remote Sensing Research, National Central University, Taiwan.
  • Lin TH; Center for Space and Remote Sensing Research, National Central University, Taiwan. Electronic address: thlin@csrsr.ncu.edu.tw.
  • Huang CS; Institute of Environmental and Occupational Health Sciences, School of Public Health, National Taiwan University, Taiwan.
  • Wu CF; Institute of Environmental and Occupational Health Sciences, School of Public Health, National Taiwan University, Taiwan. Electronic address: changfu@ntu.edu.tw.
Environ Pollut ; 291: 118159, 2021 Dec 15.
Article de En | MEDLINE | ID: mdl-34543952
Sujet(s)
Mots clés
Texte intégral
Ajouter à My VHL
Imprimer
XML
PubMed Links
Recherche sur Google

Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Sujet principal: Polluants atmosphériques / Pollution de l'air Type d'étude: Clinical_trials / Prognostic_studies Langue: En Journal: Environ Pollut Sujet du journal: SAUDE AMBIENTAL Année: 2021 Type de document: Article
Texte intégral
Ajouter à My VHL
Imprimer
XML
PubMed Links
Recherche sur Google

Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Sujet principal: Polluants atmosphériques / Pollution de l'air Type d'étude: Clinical_trials / Prognostic_studies Langue: En Journal: Environ Pollut Sujet du journal: SAUDE AMBIENTAL Année: 2021 Type de document: Article