A review of statistical methods used for developing large-scale and long-term PM2. 5 models from satellite data
Research of PM 2.5 chronic health effects requires knowledge of large-scale and long-term
exposure that is not supported by newly established monitoring networks due to their sparse …
exposure that is not supported by newly established monitoring networks due to their sparse …
Full-coverage high-resolution daily PM2. 5 estimation using MAIAC AOD in the Yangtze River Delta of China
Satellite aerosol optical depth (AOD) has been used to assess population exposure to fine
particulate matter (PM 2.5). The emerging high-resolution satellite aerosol product, Multi …
particulate matter (PM 2.5). The emerging high-resolution satellite aerosol product, Multi …
Evaluation of gap-filling approaches in satellite-based daily PM2. 5 prediction models
Approximately half of satellite aerosol retrievals are missing that limits the application of
satellite data in PM 2.5 pollution monitoring. To obtain spatiotemporally continuous PM 2.5 …
satellite data in PM 2.5 pollution monitoring. To obtain spatiotemporally continuous PM 2.5 …
Estimating ground-level PM2. 5 concentrations in Beijing using a satellite-based geographically and temporally weighted regression model
Y Guo, Q Tang, DY Gong, Z Zhang - Remote Sensing of Environment, 2017 - Elsevier
Most time-sequenced ambient air pollution data in China is published through daily Air
Quality Index (AQI). However, few studies have used the AQI data to calibrate satellite-based …
Quality Index (AQI). However, few studies have used the AQI data to calibrate satellite-based …
Satellite-derived high resolution PM2. 5 concentrations in Yangtze River Delta Region of China using improved linear mixed effects model
Satellite remotely sensed aerosol optical depth (AOD) provides an effective way to fill the
spatial and temporal gaps left by ground PM 2.5 monitoring network. Previous studies have …
spatial and temporal gaps left by ground PM 2.5 monitoring network. Previous studies have …
VIIRS-based remote sensing estimation of ground-level PM2. 5 concentrations in Beijing–Tianjin–Hebei: A spatiotemporal statistical model
Satellite-based remote sensing data have been widely used in estimating ground-level PM
2.5 concentrations as it can provide spatially detailed information. Most modern satellite …
2.5 concentrations as it can provide spatially detailed information. Most modern satellite …
Estimating ground-level PM2.5 using subset regression model and machine learning algorithms in Asian megacity, Dhaka, Bangladesh
ARMT Islam, M Al Awadh, J Mallick, SC Pal… - Air Quality, Atmosphere …, 2023 - Springer
Abstract Fine particulate matter (PM2. 5) has become a prominent pollutant due to rapid
economic development, urbanization, industrialization, and transport activities, which has …
economic development, urbanization, industrialization, and transport activities, which has …
[HTML][HTML] Estimation of ground-level particulate matter concentrations through the synergistic use of satellite observations and process-based models over South Korea
Long-term exposure to particulate matter (PM) with aerodynamic diameters< 10 (PM 10) and
2.5 µ m (PM 2.5) has negative effects on human health. Although station-based PM …
2.5 µ m (PM 2.5) has negative effects on human health. Although station-based PM …
Satellite-based PM2. 5 estimation directly from reflectance at the top of the atmosphere using a machine learning algorithm
Atmospheric particulate matter (PM) that have particle diameter less than 2.5 μm (PM 2.5)
are hazardous to public health whose concentration has been either measured on the …
are hazardous to public health whose concentration has been either measured on the …
MAIAC-based long-term spatiotemporal trends of PM2. 5 in Beijing, China
Satellite-driven statistical models have been proven to be able to provide spatially resolved
PM 2.5 estimates worldwide. The North China Plain has been suffering from severe PM 2.5 …
PM 2.5 estimates worldwide. The North China Plain has been suffering from severe PM 2.5 …