Satellite remote sensing of aerosol optical depth: Advances, challenges, and perspectives
Aerosol optical depth (AOD) is widely recognized as a critical indicator in understanding
atmospheric physics and regional air quality because of its capability for quantifying aerosol …
atmospheric physics and regional air quality because of its capability for quantifying aerosol …
Strategies for using satellite-based products in modeling PM2. 5 and short-term pollution episodes
M Sorek-Hamer, R Chatfield, Y Liu - Environment International, 2020 - Elsevier
Short-term air pollution episodes motivate improved understanding of the association
between air pollution and acute morbidity and mortality episodes, and triggers required …
between air pollution and acute morbidity and mortality episodes, and triggers required …
Tracking Air Pollution in China: Near Real-Time PM2.5 Retrievals from Multisource Data Fusion
Air pollution has altered the Earth's radiation balance, disturbed the ecosystem, and
increased human morbidity and mortality. Accordingly, a full-coverage high-resolution air …
increased human morbidity and mortality. Accordingly, a full-coverage high-resolution air …
A machine learning method to estimate PM2. 5 concentrations across China with remote sensing, meteorological and land use information
Background Machine learning algorithms have very high predictive ability. However, no
study has used machine learning to estimate historical concentrations of PM 2.5 (particulate …
study has used machine learning to estimate historical concentrations of PM 2.5 (particulate …
An Ensemble Machine-Learning Model To Predict Historical PM2.5 Concentrations in China from Satellite Data
The long satellite aerosol data record enables assessments of historical PM2. 5 level in
regions where routine PM2. 5 monitoring began only recently. However, most previous …
regions where routine PM2. 5 monitoring began only recently. However, most previous …
Satellite-Based Spatiotemporal Trends in PM2.5 Concentrations: China, 2004–2013
Background Three decades of rapid economic development is causing severe and
widespread PM2. 5 (particulate matter≤ 2.5 μm) pollution in China. However, research on …
widespread PM2. 5 (particulate matter≤ 2.5 μm) pollution in China. However, research on …
Separating emission and meteorological contribution to PM2.5 trends over East China during 2000–2018
The contribution of meteorology and emissions to long-term PM 2.5 trends is critical for air
quality management but has not yet been fully analyzed. Here, we used a combination of …
quality management but has not yet been fully analyzed. Here, we used a combination of …
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 …
Estimating Ground-Level PM2.5 in China Using Satellite Remote Sensing
Estimating ground-level PM2. 5 from satellite-derived aerosol optical depth (AOD) using a
spatial statistical model is a promising new method to evaluate the spatial and temporal …
spatial statistical model is a promising new method to evaluate the spatial and temporal …
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 …