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A description of methods for deriving air pollution land use regression model predictor variables from remote sensing data in Ulaanbaatar, Mongolia
Зохиогч
Weiran Yuchi
Anders Jensen Knudby
Joanna Cowper
Ofer Amram
Blake Byron Walker
Ryan W. Allen
Он
2016 оны тавдугаар сарын 13
Төрөл
journal article
Хэвлэгч
Wiley
Journal
Canadian Geographies / Géographies canadiennes
Volume
60
Issue
3
Start Page
333
End Page
345
ISSN
0008-3658
1541-0064
Хураангуй
Key Messages Air pollution is a leading risk factor for death and disease globally. Land use regression (LUR) modelling is a commonly used exposure assessment tool, but spatially resolved data are required to generate predictor variables in LUR models. LUR model predictors can be derived at little or no cost from satellite data and high‐resolution imagery.