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Deep learning in environmental remote sensing: Achievements and challenges
Various forms of machine learning (ML) methods have historically played a valuable role in
environmental remote sensing research. With an increasing amount of “big data” from earth …
environmental remote sensing research. With an increasing amount of “big data” from earth …
Global synthesis of two decades of research on improving PM2. 5 estimation models from remote sensing and data science perspectives
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 …
accuracy remains challenging due to the lack of general knowledge on the relative …
Improved 1 km resolution PM2.5 estimates across China using enhanced space–time extremely randomized trees
Fine particulate matter with aerodynamic diameters≤ 2.5 µ m (PM 2.5) has adverse effects
on human health and the atmospheric environment. The estimation of surface PM 2.5 …
on human health and the atmospheric environment. The estimation of surface PM 2.5 …
Estimating 1-km-resolution PM2. 5 concentrations across China using the space-time random forest approach
Abstract Fine particulate matter (PM 2.5) is closely related to the atmospheric environment
and human life. Satellite-based aerosol optical depth (AOD) products have been widely …
and human life. Satellite-based aerosol optical depth (AOD) products have been widely …
An Ensemble Machine-Learning Model To Predict Historical PM2.5 Concentrations in China from Satellite Data
Q ** of daily high-resolution ground PM2. 5 in China via space-time regression modeling
The use of satellite-retrieved aerosol optical depth (AOD) data and statistical modeling
provides a promising approach to estimating PM 2.5 concentrations for a large region …
provides a promising approach to estimating PM 2.5 concentrations for a large region …
Study on the effect of environmental regulations and industrial structure on haze pollution in China from the dual perspective of independence and linkage
M Zhang, X Sun, W Wang - Journal of Cleaner Production, 2020 - Elsevier
As China haze pollution has been more and more serious, the government has issued many
regulations to control it. As has been demonstrated that, nowadays industrial structure is one …
regulations to control it. As has been demonstrated that, nowadays industrial structure is one …
The Relationships between PM2.5 and Meteorological Factors in China: Seasonal and Regional Variations
The interactions between PM2. 5 and meteorological factors play a crucial role in air
pollution analysis. However, previous studies that have researched the relationships …
pollution analysis. However, previous studies that have researched the relationships …
Deep learning for air quality forecasts: a review
Air pollution is one of major environmental issues in the twenty-first century due to global
industrialization and urbanization. Its mitigation necessitates accurate air quality forecasts …
industrialization and urbanization. Its mitigation necessitates accurate air quality forecasts …