Prediction of PM2.5 concentrations at unsampled points using multiscale geographically and temporally weighted regression

Efforts in reducing air pollution exposure risk in China: State versus individuals

(2020) Bin Zou et al.   ENVIRONMENT INTERNATIONAL

Comparison of ERA5-Land and UERRA MESCAN-SURFEX Reanalysis Data with Spatially Interpolated Weather Observations for the Regional Assessment of Reference Evapotranspiration

(2020) Anna Pelosi et al.   Water

Assessing schoolchildren's exposure to air pollution during the daily commute - A systematic review

(2020) Xuying Ma et al.   SCIENCE OF THE TOTAL ENVIRONMENT

MGWR: A Python Implementation of Multiscale Geographically Weighted Regression for Investigating Process Spatial Heterogeneity and Scale

(2019) Taylor M. Oshan et al.   ISPRS International Journal of Geo-Information

Estimating 1-km-resolution PM2.5 concentrations across China using the space-time random forest approach

(2019) Jing Wei et al.   REMOTE SENSING OF ENVIRONMENT

Satellite-based estimation of the aerosol forcing contribution to the global land surface temperature in the recent decade

(2019) Huihui Feng et al.   REMOTE SENSING OF ENVIRONMENT

Time series modeling of PM2.5 concentrations with residual variance constraint in eastern mainland China during 2013–2017

(2019) Shenxin Li et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Space-time PM 2.5 mapping in the severe haze region of Jing-Jin-Ji (China) using a synthetic approach

(2018) Junyu He et al.   ENVIRONMENTAL POLLUTION

Estimation of ultrahigh resolution PM 2.5 concentrations in urban areas using 160 m Gaofen-1 AOD retrievals

(2018) Tianhao Zhang et al.   REMOTE SENSING OF ENVIRONMENT

Satellite-based mapping of daily high-resolution ground PM 2.5 in China via space-time regression modeling

(2018) Qingqing He et al.   REMOTE SENSING OF ENVIRONMENT

Using MAIAC AOD to verify the PM2.5 spatial patterns of a land use regression model

(2018) Runkui Li et al.   ENVIRONMENTAL POLLUTION

Global estimates of mortality associated with long-term exposure to outdoor fine particulate matter

(2018) Richard Burnett et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

Multiscale geographically and temporally weighted regression: exploring the spatiotemporal determinants of housing prices

(2018) Chao Wu et al.   INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE

Estimating Ground-Level PM2.5 by Fusing Satellite and Station Observations: A Geo-Intelligent Deep Learning Approach

(2017) Tongwen Li et al.   GEOPHYSICAL RESEARCH LETTERS

Estimating ground-level PM 2.5 concentrations in Beijing using a satellite-based geographically and temporally weighted regression model

(2017) Yuanxi Guo et al.   REMOTE SENSING OF ENVIRONMENT

Space-time mapping of ground-level PM2.5 and NO2 concentrations in heavily polluted northern China during winter using the Bayesian maximum entropy technique with satellite data

(2017) Qutu Jiang et al.   Air Quality Atmosphere and Health

Satellite-derived high resolution PM2.5 concentrations in Yangtze River Delta Region of China using improved linear mixed effects model

(2016) Zongwei Ma et al.   ATMOSPHERIC ENVIRONMENT

Developing Street-Level PM2.5 and PM10 Land Use Regression Models in High-Density Hong Kong with Urban Morphological Factors

(2016) Yuan Shi et al.   ENVIRONMENTAL SCIENCE & TECHNOLOGY

Global Estimates of Fine Particulate Matter using a Combined Geophysical-Statistical Method with Information from Satellites, Models, and Monitors

(2016) Aaron van Donkelaar et al.   ENVIRONMENTAL SCIENCE & TECHNOLOGY

High-Resolution Satellite Mapping of Fine Particulates Based on Geographically Weighted Regression

(2016) Bin Zou et al.   IEEE Geoscience and Remote Sensing Letters

Satellite-based ground PM 2.5 estimation using timely structure adaptive modeling

(2016) Xin Fang et al.   REMOTE SENSING OF ENVIRONMENT

VIIRS-based remote sensing estimation of ground-level PM 2.5 concentrations in Beijing–Tianjin–Hebei: A spatiotemporal statistical model

(2016) Jiansheng Wu et al.   REMOTE SENSING OF ENVIRONMENT

Spatiotemporal Variability of Remotely Sensed PM2.5 Concentrations in China from 1998 to 2014 Based on a Bayesian Hierarchy Model

(2016) Junming Li et al.   International Journal of Environmental Research and Public Health

Ground Level PM2.5 Estimates over China Using Satellite-Based Geographically Weighted Regression (GWR) Models Are Improved by Including NO2 and Enhanced Vegetation Index (EVI)

(2016) Tianhao Zhang et al.   International Journal of Environmental Research and Public Health

Satellite-Based Spatiotemporal Trends in PM2.5 Concentrations: China, 2004–2013

(2015) Zongwei Ma et al.   ENVIRONMENTAL HEALTH PERSPECTIVES

Estimating Ground-Level PM2.5 in China Using Satellite Remote Sensing

(2014) Zongwei Ma et al.   ENVIRONMENTAL SCIENCE & TECHNOLOGY

Global Estimates of Ambient Fine Particulate Matter Concentrations from Satellite-Based Aerosol Optical Depth: Development and Application

(2010) Aaron van Donkelaar et al.   ENVIRONMENTAL HEALTH PERSPECTIVES

Geographically and temporally weighted regression for modeling spatio-temporal variation in house prices

(2010) Bo Huang et al.   INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE