Health

Health

ISSN Print: 1949-4998
ISSN Online: 1949-5005
www.scirp.org/journal/health
E-mail: health@scirp.org
"Spatio-Temporal Variations in the Associations between Hourly PM2.5 and Aerosol Optical Depth (AOD) from MODIS Sensors on Terra and Aqua"
written by Minho Kim, Xingyou Zhang, James B. Holt, Yang Liu,
published by Health, Vol.5 No.10B, 2013
has been cited by the following article(s):
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[1] Long short-term memory network model to estimate PM2. 5 concentrations with missing-filled satellite data in Beijing
Stochastic Environmental Research and Risk …, 2022
[2] Comparison of Different Missing-Imputation Methods for MAIAC (Multiangle Implementation of Atmospheric Correction) AOD in Estimating Daily PM2.5 Levels
Remote Sensing, 2020
[3] Temporary reduction in fine particulate matter due to 'anthropogenic emissions switch-off'during COVID-19 lockdown in Indian cities
2020
[4] Comparison of Different Missing-Imputation Methods for MAIAC (Multiangle Implementation of Atmospheric Correction) AOD in Estimating Daily PM2. 5 Levels
2020
[5] Extreme gradient boosting model to estimate PM2. 5 concentrations with missing-filled satellite data in China
2019
[6] Análisis espacio-temporal de la distribución de aerosoles atmosféricos en la ciudad de Córdoba (Argentina) y desarrollo de un modelo predictivo de los niveles de …
2018
[7] Three-Dimensional Physical and Optical Characteristics of Aerosols over Central China from Long-Term CALIPSO and HYSPLIT Data
Remote Sensing, 2018
[8] Satellite-based short- and long-term exposure to PM2.5 and adult mortality in urban Beijing, China
Environmental Pollution, 2018
[9] Detection of pollution content in an urban area using landsat 8 data
2017
[10] Impact of diurnal variability and meteorological factors on the PM 2.5-AOD relationship: Implications for PM 2.5 remote sensing
Environmental Pollution, 2017
[11] Impact of diurnal variability and meteorological factors on the PM2. 5-AOD relationship: Implications for PM2. 5 remote sensing
Environmental Pollution, 2017
[12] 北京地区不同时段平均PM2.5浓度与MODIS气溶胶光学厚度相关性分析
2016
[13] Estimation of Aerosol Optical Depth Using MODIS Satellite Data and Its Relation with Particulate Matter Concentration in The Mining Regions
Thesis, 2016
[14] 北京地区不同时段平均 PM 2.5 浓度与 MODIS 气溶胶光学厚度相关性分析
2016
[15] Hybrid Dispersion/Land Use Regression Modeling for Improving Air Pollutant Concentration Estimates
2015
[16] A new hybrid spatio-temporal model for estimating daily multi-year PM 2.5 concentrations across northeastern USA using high resolution aerosol optical depth data
Atmospheric …, 2014
[17] A new hybrid spatio-temporal model for estimating daily multi-year PM2. 5 concentrations across northeastern USA using high resolution aerosol optical depth data
Atmospheric Environment, 2014
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