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 …
LGHAP: a Long-term Gap-free High-resolution Air Pollutants concentration dataset derived via tensor flow based multimodal data fusion
Develo** a big data analytics framework for generating the Long-term Gap-free High-
resolution Air Pollutant concentration dataset (abbreviated as LGHAP) is of great …
resolution Air Pollutant concentration dataset (abbreviated as LGHAP) is of great …
Estimating PM2. 5 concentrations via random forest method using satellite, auxiliary, and ground-level station dataset at multiple temporal scales across China in 2017
Fine particulate matter with aerodynamic diameters less than 2.5 μm (PM 2.5) poses
adverse impacts on public health and the environment. It is still a great challenge to estimate …
adverse impacts on public health and the environment. It is still a great challenge to estimate …
[HTML][HTML] Improved retrievals of aerosol optical depth and fine mode fraction from GOCI geostationary satellite data using machine learning over East Asia
Abstract Aerosol Optical Depth (AOD) and Fine Mode Fraction (FMF) are important
information for air quality research. Both are mainly obtained from satellite data based on a …
information for air quality research. Both are mainly obtained from satellite data based on a …
A comprehensive review delineates advancements in retrieving particulate matter utilising satellite aerosol optical depth: Parameter consideration, data processing …
Particulate matter (PM), one of the major air pollutants, is generated by variety of natural or
man-made sources, leading to acute and chronic diseases in humans since the last few …
man-made sources, leading to acute and chronic diseases in humans since the last few …
A two-stage machine learning algorithm for retrieving multiple aerosol properties over land: Development and validation
Satellite-based aerosol optical property retrieval over land, especially size-related
parameters, is challenging. This study proposed a novel two-stage machine learning (ML) …
parameters, is challenging. This study proposed a novel two-stage machine learning (ML) …
Estimation of particulate matter concentrations in Türkiye using a random forest model based on satellite AOD retrievals
This study estimates intra-daily PM10 concentrations at 213 inland and coastal monitoring
sites in Türkiye from 2008 to 2019 using satellite-based aerosol optical depth (AOD) from the …
sites in Türkiye from 2008 to 2019 using satellite-based aerosol optical depth (AOD) from the …
A similarity distance-based space-time random forest model for estimating PM2. 5 concentrations over China
S Guan, X Zhang, W Zhao, Y Duan, S Yang… - Atmospheric …, 2023 - Elsevier
China has experienced persistent fine particulate matter (PM 2.5) pollution for the past few
years, which adversely affects both physical and mental health. The availability of high …
years, which adversely affects both physical and mental health. The availability of high …
[HTML][HTML] Ozone, nitrogen dioxide, and PM2. 5 estimation from observation-model machine learning fusion over S. Korea: Influence of observation density, chemical …
High-resolution multi-component estimates of ground-level air pollutants are necessary for
assessing their impacts to human health, agriculture, and ecosystems. We demonstrate a …
assessing their impacts to human health, agriculture, and ecosystems. We demonstrate a …
[HTML][HTML] Evaluation of Machine Learning Models for Estimating PM2.5 Concentrations across Malaysia
Southeast Asia (SEA) is a hotspot region for atmospheric pollution and haze conditions, due
to extensive forest, agricultural and peat fires. This study aims to estimate the PM2. 5 …
to extensive forest, agricultural and peat fires. This study aims to estimate the PM2. 5 …