Estimating ground-level particulate matter concentrations using satellite-based data: a review
Particulate matter (PM) is a widely used indicator of air quality. Satellite-derived aerosol
products such as aerosol optical depth (AOD) have been a useful source of data for ground …
products such as aerosol optical depth (AOD) have been a useful source of data for ground …
[HTML][HTML] The ChinaHighPM10 dataset: generation, validation, and spatiotemporal variations from 2015 to 2019 across China
Respirable particles with aerodynamic diameters≤ 10 µm (PM 10) have important impacts
on the atmospheric environment and human health. Available PM 10 datasets have coarse …
on the atmospheric environment and human health. Available PM 10 datasets have coarse …
A review on estimation of particulate matter from satellite-based aerosol optical depth: Data, methods, and challenges
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 …
air quality management and protection of human health. The satellite-based AOD datasets …
A remote sensing assessment index for urban ecological livability and its application
Remote sensing provides us with an approach for the rapid identification and monitoring of
spatiotemporal changes in the urban ecological environment at different scales. This study …
spatiotemporal changes in the urban ecological environment at different scales. This study …
Evaluation of MAIAC aerosol retrievals over China
Abstract Multiangle Implementation of Atmospheric Correction (MAIAC) is a new aerosol
algorithm developed to retrieve aerosol optical depth (AOD) over land using the time series …
algorithm developed to retrieve aerosol optical depth (AOD) over land using the time series …
Estimation of ultrahigh resolution PM2. 5 concentrations in urban areas using 160 m Gaofen-1 AOD retrievals
Satellite-derived aerosol optical depth (AOD) has been widely used to estimate ground-level
PM 2.5 concentrations due to its spatially continuous observation. However, the coarse …
PM 2.5 concentrations due to its spatially continuous observation. However, the coarse …
Seasonal trends, chemical speciation and source apportionment of fine PM in Tehran
Frequent air pollution episodes have been reported for Tehran, Iran, mainly because of
critically high levels of fine particulate matter (PM 2.5). The composition and sources of these …
critically high levels of fine particulate matter (PM 2.5). The composition and sources of these …
Relationships between ozone and particles during air pollution episodes in arid continental climate
For human health, tropospheric ozone (O 3), particles (PM 2.5 and PM 10, particles with
aerodynamic diameter< 2.5 and 10 μm), and nitrogen dioxide (NO 2) are the most harmful …
aerodynamic diameter< 2.5 and 10 μm), and nitrogen dioxide (NO 2) are the most harmful …
A machine learning-based framework for high resolution mapping of PM2. 5 in Tehran, Iran, using MAIAC AOD data
H Bagheri - Advances in space Research, 2022 - Elsevier
This paper investigates the possibility of high resolution mapping of PM2. 5 concentration
over Tehran city using high resolution satellite AOD (MAIAC) retrievals. For this purpose, a …
over Tehran city using high resolution satellite AOD (MAIAC) retrievals. For this purpose, a …
Estimating PM2. 5 with high-resolution 1-km AOD data and an improved machine learning model over Shenzhen, China
W Chen, H Ran, X Cao, J Wang, D Teng, J Chen… - Science of the Total …, 2020 - Elsevier
Studies on fine particulate matter with an aerodynamic diameter of 2.5 μm or smaller (PM
2.5) are closely related to the atmospheric environment and human activities but are often …
2.5) are closely related to the atmospheric environment and human activities but are often …