Reconstructing 1-km-resolution high-quality PM2. 5 data records from 2000 to 2018 in China: spatiotemporal variations and policy implications

J Wei, Z Li, A Lyapustin, L Sun, Y Peng, W Xue… - Remote Sensing of …, 2021 - Elsevier
Exposure to fine particulate matter (PM 2.5) can significantly harm human health and
increase the risk of death. Satellite remote sensing allows for generating spatially …

Stacking machine learning model for estimating hourly PM2. 5 in China based on Himawari 8 aerosol optical depth data

J Chen, J Yin, L Zang, T Zhang, M Zhao - Science of The Total Environment, 2019 - Elsevier
Aerosol optical depth (AOD) from polar orbit satellites and meteorological factors have been
widely used to estimate concentrations of surface particulate matter with an aerodynamic …

A high-precision aerosol retrieval algorithm (HiPARA) for advanced Himawari imager (AHI) data: Development and verification

X Su, L Wang, M Zhang, W Qin, M Bilal - Remote sensing of environment, 2021 - Elsevier
Due to the complexity of land cover and aerosol types, the high-precision retrieval of land
aerosol properties is challenging. A land general aerosol (LaGA) algorithm called the High …

[HTML][HTML] Evaluation and comparison of multiangle implementation of the atmospheric correction algorithm, Dark Target, and Deep Blue aerosol products over China

N Liu, B Zou, H Feng, W Wang, Y Tang… - … Chemistry and Physics, 2019 - acp.copernicus.org
A new multiangle implementation of the atmospheric correction (MAIAC) algorithm has been
applied in the Moderate Resolution Imaging Spectroradiometer (MODIS) sensor and has …

Synergistic data fusion of multimodal AOD and air quality data for near real-time full coverage air pollution assessment

K Li, K Bai, Z Li, J Guo, NB Chang - Journal of environmental management, 2022 - Elsevier
Data gaps in satellite aerosol optical depth (AOD) retrievals pose a huge challenge in near
real-time air quality assessment. Here, we present a multimodal aerosol data fusion …

Toward an adaptable deep-learning model for satellite-based wildfire monitoring with consideration of environmental conditions

Y Kang, T Sung, J Im - Remote Sensing of Environment, 2023 - Elsevier
As the majority of active fire detection algorithms have been developed for worldwide
applications using only satellite data without considering observing conditions and …

Multiscale and multisource data fusion for full-coverage PM2. 5 concentration mapping: Can spatial pattern recognition come with modeling accuracy?

K Bai, K Li, J Guo, NB Chang - ISPRS Journal of Photogrammetry and …, 2022 - Elsevier
In spite of a variety of PM 2.5 modeling schemes, general guidance for full-coverage PM 2.5
concentration mapping from satellite observations is still lacking. The current technical gap …

A new algorithm for Himawari-8 aerosol optical depth retrieval by integrating regional PM₂. ₅ concentrations

W Xu, W Wang, N Wang, B Chen - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
The advanced Himawari imager (AHI) onboard Himawari-8 can provide full-disk
observations with high temporal resolution (10 min), which has outstanding advantages for …

[HTML][HTML] Evaluation of Himawari-8/AHI, MERRA-2, and CAMS aerosol products over China

T Zhang, L Zang, F Mao, Y Wan, Y Zhu - Remote Sensing, 2020 - mdpi.com
Reliable aerosol optical depth (AOD) data with high spatial and temporal resolutions are
needed for research on air pollution in China. AOD products from the Advanced Himawari …

Space–Time Linear Mixed-Effects (STLME) model for mapping hourly fine particulate loadings in the Beijing–Tianjin–Hebei region, China

W Wang, J He, Z Miao, L Du - Journal of Cleaner Production, 2021 - Elsevier
Fine particulate matter with aerodynamic diameters≤ 2.5 μm (PM 2.5) is a proxy for
atmospheric pollution levels and is detrimental to human health. The linear mixed-effects …