Global synthesis of two decades of research on improving PM2. 5 estimation models from remote sensing and data science perspectives

K Bai, K Li, Y Sun, L Wu, Y Zhang, NB Chang, Z Li - Earth-Science Reviews, 2023 - Elsevier
Identifying the proxy data and techniques that could yield greater PM 2.5 estimation
accuracy remains challenging due to the lack of general knowledge on the relative …

A Review on Predicting Ground PM2.5 Concentration Using Satellite Aerosol Optical Depth

Y Chu, Y Liu, X Li, Z Liu, H Lu, Y Lu, Z Mao, X Chen… - Atmosphere, 2016 - mdpi.com
This study reviewed the prediction of fine particulate matter (PM2. 5) from satellite aerosol
optical depth (AOD) and summarized the advantages and limitations of these predicting …

PM2.5 Prediction Based on Random Forest, XGBoost, and Deep Learning Using Multisource Remote Sensing Data

M Zamani Joharestani, C Cao, X Ni, B Bashir… - Atmosphere, 2019 - mdpi.com
In recent years, air pollution has become an important public health concern. The high
concentration of fine particulate matter with diameter less than 2.5 µm (PM2. 5) is known to …

Using satellite remote sensing data to estimate the high-resolution distribution of ground-level PM2. 5

C Lin, Y Li, Z Yuan, AKH Lau, C Li, JCH Fung - Remote Sensing of …, 2015 - Elsevier
Although ground-level monitoring can provide accurate PM 2.5 measurements, it has limited
spatial coverage and resolution. In contrast, satellite-based monitoring can provide aerosol …

Spatiotemporal patterns of remotely sensed PM2. 5 concentration in China from 1999 to 2011

J Peng, S Chen, H Lü, Y Liu, J Wu - Remote sensing of environment, 2016 - Elsevier
Air pollution in the form of fine particulate matter, or PM 2.5, can decrease human life
expectancy and increase the overall mortality rate. Based on a time series of remotely …

[HTML][HTML] Impact of diurnal variability and meteorological factors on the PM2. 5-AOD relationship: Implications for PM2. 5 remote sensing

J Guo, F Xia, Y Zhang, H Liu, J Li, M Lou, J He… - Environmental …, 2017 - Elsevier
PM 2.5 retrieval from space is still challenging due to the elusive relationship between PM
2.5 and aerosol optical depth (AOD), which is further complicated by meteorological factors …

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 …

A satellite-based geographically weighted regression model for regional PM2. 5 estimation over the Pearl River Delta region in China

W Song, H Jia, J Huang, Y Zhang - Remote Sensing of Environment, 2014 - Elsevier
To estimate the daily concentration of ground-level PM 2.5 coincident to satellite overpass at
regional scale, a satellite-based geographically weighted regression (GWR) model was …

Point-surface fusion of station measurements and satellite observations for mapping PM2. 5 distribution in China: Methods and assessment

T Li, H Shen, C Zeng, Q Yuan, L Zhang - Atmospheric Environment, 2017 - Elsevier
Abstract Fine particulate matter (PM 2.5, particulate matters with aerodynamic diameters less
than 2.5 μ m) is associated with adverse human health effects, and China is currently …

Long-term (2001–2012) concentrations of fine particulate matter (PM2.5) and the impact on human health in Beijing, China

S Zheng, A Pozzer, CX Cao… - … Chemistry and Physics, 2015 - acp.copernicus.org
Beijing, the capital of China, is a densely populated city with poor air quality. The impact of
high pollutant concentrations, in particular of aerosol particles, on human health is of major …