Ground Level PM<sub>2.5</sub> Estimates over China Using Satellite-Based Geographically Weighted Regression (GWR) Models Are Improved by Including NO2 and Enhanced Vegetation Index (EVI).

Zhang, Tianhao; Gong, Wei; Wang, Wei; Ji, Yuxi; Zhu, Zhongmin; Huang, Yusi

Ground Level PM_2.5 Estimates over China Using Satellite-Based Geographically Weighted Regression (GWR) Models Are Improved by Including NO2 and Enhanced Vegetation Index (EVI).

Zhang, Tianhao; Gong, Wei; Wang, Wei; Ji, Yuxi; Zhu, Zhongmin; Huang, Yusi.

Afiliación

Zhang T; State Key Laboratory of Information Engineering in Surveying, Mapping, and Remote Sensing, Wuhan University, Wuhan 430079, China. tianhaozhang@whu.edu.cn.
Gong W; State Key Laboratory of Information Engineering in Surveying, Mapping, and Remote Sensing, Wuhan University, Wuhan 430079, China. weigong@whu.edu.cn.
Wang W; Collaborative Innovation Center for Geospatial Technology, Wuhan 430079, China. weigong@whu.edu.cn.
Ji Y; State Key Laboratory of Information Engineering in Surveying, Mapping, and Remote Sensing, Wuhan University, Wuhan 430079, China. wangweicn@whu.edu.cn.
Zhu Z; State Key Laboratory of Information Engineering in Surveying, Mapping, and Remote Sensing, Wuhan University, Wuhan 430079, China. jiyuxi_ss@163.com.
Huang Y; State Key Laboratory of Information Engineering in Surveying, Mapping, and Remote Sensing, Wuhan University, Wuhan 430079, China. zhongmin.zhu@whu.edu.cn.

Int J Environ Res Public Health ; 13(12)2016 12 07.

Article en En | MEDLINE | ID: mdl-27941628

Asunto(s)

Aerosoles/química; Contaminantes Atmosféricos/química; Monitoreo del Ambiente/métodos; Material Particulado/química; China; Modelos Teóricos; Reproducibilidad de los Resultados; Nave Espacial; Regresión Espacial

Palabras clave

MODIS (Moderate Resolution Imaging Spectroradiometer) AOD; enhanced vegetation index; geographically weighted regression; nationwide ambient PM2.5; satellite-derived NO2 column density

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Monitoreo del Ambiente / Aerosoles / Contaminantes Atmosféricos / Material Particulado Tipo de estudio: Prognostic_studies País/Región como asunto: Asia Idioma: En Revista: Int J Environ Res Public Health Año: 2016 Tipo del documento: Article País de afiliación: China Pais de publicación: Suiza

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