A review on estimation of particulate matter from satellite-based aerosol optical depth: Data, methods, and challenges

AK Ranjan, AK Patra, AK Gorai - Asia-Pacific Journal of Atmospheric …, 2021 - Springer
Detailed, reliable, and continuous monitoring of aerosol optical depth (AOD) is essential for
air quality management and protection of human health. The satellite-based AOD datasets …

Estimating PM2. 5 concentrations in Northeastern China with full spatiotemporal coverage, 2005–2016

X Meng, C Liu, L Zhang, W Wang, J Stowell… - Remote sensing of …, 2021 - Elsevier
Predicting long-term spatiotemporal characteristics of fine particulate matter (PM 2.5) is
important in China to understand historical levels of PM 2.5, to support health effects …

Surface and satellite observations of air pollution in India during COVID-19 lockdown: Implication to air quality

Y Sathe, P Gupta, M Bawase, L Lamsal… - Sustainable cities and …, 2021 - Elsevier
The strict nationwide lockdown imposed in India starting from 25 th March 2020 to prevent
the spread of COVID-19 disease reduced the mobility and interrupted several important …

[HTML][HTML] Spatio-Temporal Variations of the PM2.5/PM10 Ratios and Its Application to Air Pollution Type Classification in China

H Fan, C Zhao, Y Yang, X Yang - Frontiers in Environmental Science, 2021 - frontiersin.org
Particulate Matter (PM) is an important indicator of the degree of air pollution. The PM type
and the ratio of coarse and fine PM particles determine the ability to affect human health and …

[HTML][HTML] Geographical and temporal encoding for improving the estimation of PM2. 5 concentrations in China using end-to-end gradient boosting

N Yang, H Shi, H Tang, X Yang - Remote Sensing of Environment, 2022 - Elsevier
Fine particulate matter with aerodynamic diameters less than 2.5 μm (PM 2.5) profoundly
affects environmental systems and human health. To dynamically monitor fine particulate …

Estimating PM2. 5 concentration of the conterminous United States via interpretable convolutional neural networks

Y Park, B Kwon, J Heo, X Hu, Y Liu, T Moon - Environmental Pollution, 2020 - Elsevier
We apply convolutional neural network (CNN) model for estimating daily 24-h averaged
ground-level PM 2.5 of the conterminous United States in 2011 by incorporating aerosol …

Explore regional PM2. 5 features and compositions causing health effects in Taiwan

YS Wang, LC Chang, FJ Chang - Environmental Management, 2021 - Springer
Chemical compositions of atmospheric fine particles like PM2. 5 prove harmful to human
health, particularly to cardiopulmonary functions. Multifaceted health effects of PM2. 5 have …

Review of retrieval of aerosol optical depth to estimate particle concentration and its challenges based on spatiotemporal relationships by various spectroradiometer …

C Samuel, RP Kumar, S Gautam - Geological Journal, 2023 - Wiley Online Library
This review was carried out to understand the retrieval of aerosol optical depth (AOD)
datasets for estimating particle concentration and its influence on ambient air and …

Estimating PM2. 5 concentrations in Yangtze River Delta region of China using random forest model and the Top-of-Atmosphere reflectance

L Yang, H Xu, S Yu - Journal of Environmental Management, 2020 - Elsevier
Previous studies that have used remote sensing data to estimate the PM 2.5 concentrations
mainly focused on the retrieval of aerosol optical depth (AOD) with moderate-to-low spatial …

[HTML][HTML] The status of air quality in the United States during the COVID-19 pandemic: a remote sensing perspective

YF Elshorbany, HC Kapper, JR Ziemke, SA Parr - Remote Sensing, 2021 - mdpi.com
The recent COVID-19 pandemic has prompted global governments to take several
measures to limit and contain the spread of the novel virus. In the United States (US), most …