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Spatiotemporal imputation of MAIAC AOD using deep learning with downscaling 期刊论文
REMOTE SENSING OF ENVIRONMENT, 2020, 卷号: 237, 页码: 17
Authors:  Li, Lianfa;  Franklin, Meredith;  Girguis, Mariam;  Lurmann, Frederick;  Wu, Jun;  Pavlovic, Nathan;  Breton, Carrie;  Gilliland, Frank;  Habre, Rima
Favorite  |  View/Download:6/0  |  Submit date:2020/05/19
Aerosol Optical Depth  MAIAC  MERRA-2 GMI Replay Simulation  Deep learning  Downscaling  Missingness imputation  Air quality  
Optimal Inversion of Conversion Parameters from Satellite AOD to Ground Aerosol Extinction Coefficient Using Automatic Differentiation 期刊论文
REMOTE SENSING, 2020, 卷号: 12, 期号: 3, 页码: 20
Authors:  Li, Lianfa
Favorite  |  View/Download:6/0  |  Submit date:2020/05/19
parameter inversion  aerosol optical depth  PBLH  ground-based AOD  PM2  5  automatic differentiation  
A Robust Deep Learning Approach for Spatiotemporal Estimation of Satellite AOD and PM2.5 期刊论文
REMOTE SENSING, 2020, 卷号: 12, 期号: 2, 页码: 27
Authors:  Li, Lianfa
Favorite  |  View/Download:6/0  |  Submit date:2020/05/19
PM2.5  satellite AOD  deep learning  autoencoder  residual network  exposure estimation  high spatiotemporal resolution  
A comparative time series analysis and modeling of aerosols in the contiguous United States and China 期刊论文
SCIENCE OF THE TOTAL ENVIRONMENT, 2019, 卷号: 690, 页码: 799-811
Authors:  Li, Xueke;  Zhang, Chuanrong;  Zhang, Bo;  Liu, Kai
Favorite  |  View/Download:11/0  |  Submit date:2020/03/23
Aerosol variation  Trend  Time series modeling  Prediction  Inter-country comparisons  
Associated Determinants of Surface Urban Heat Islands across 1449 Cities in China 期刊论文
ADVANCES IN METEOROLOGY, 2019, 卷号: 2019, 页码: 14
Authors:  Li, Yuanzheng;  Wang, Lan;  Liu, Min;  Zhao, Guosong;  He, Tian;  Mao, Qizheng
Favorite  |  View/Download:17/0  |  Submit date:2019/09/24
Exploring the trend, prediction and driving forces of aerosols using satellite and ground data, and implications for climate change mitigation 期刊论文
JOURNAL OF CLEANER PRODUCTION, 2019, 卷号: 223, 页码: 238-251
Authors:  Li, Xueke;  Zhang, Chuanrong;  Li, Weidong;  Anyah, Richard O.;  Tian, Jing
Favorite  |  View/Download:16/0  |  Submit date:2019/09/24
MODIS C6  Aerosol optical depth  Time series  ARIMA  Climate change mitigation  
Spatio-temporal evolution and the influencing factors of PM2.5 in China between 2000 and 2015 期刊论文
JOURNAL OF GEOGRAPHICAL SCIENCES, 2019, 卷号: 29, 期号: 2, 页码: 253-270
Authors:  Zhou Liang;  Zhou Chenghu;  Yang Fan;  Che Lei;  Wang Bo;  Sun Dongqi
Favorite  |  View/Download:22/0  |  Submit date:2019/05/23
air pollution  PM2.5  haze  spatio-temporal evolution  environmental influence  China  
Retrieval of Daily PM2.5 Concentrations Using Nonlinear Methods: A Case Study of the Beijing-Tianjin-Hebei Region, China 期刊论文
REMOTE SENSING, 2018, 卷号: 10, 期号: 12, 页码: 17
Authors:  Li, Lijuan;  Chen, Baozhang;  Zhang, Yanhu;  Zhao, Youzheng;  Xian, Yue;  Xu, Guang;  Zhang, Huifang;  Guo, Lifeng
Favorite  |  View/Download:21/0  |  Submit date:2019/05/23
daily PM2  5concentrations  remote sensing  MODIS AOD  machine learning algorithm  spatial and temporal distribution  
Population Exposure to Ambient PM2.5 at the Subdistrict Level in China 期刊论文
INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH, 2018, 卷号: 15, 期号: 12, 页码: 13
Authors:  Long, Ying;  Wang, Jianghao;  Wu, Kang;  Zhang, Junjie
Favorite  |  View/Download:14/0  |  Submit date:2019/05/23
PM2  5  population exposure  MODIS (Moderate Resolution Imaging Spectroradiometer) AOD  China  
Using MAIAC AOD to verify the PM2.5 spatial patterns of a land use regression model 期刊论文
ENVIRONMENTAL POLLUTION, 2018, 卷号: 243, 页码: 501-509
Authors:  Li, Runkui;  Ma, Tianxiao;  Xu, Qun;  Song, Xianfeng
Favorite  |  View/Download:19/0  |  Submit date:2019/05/23
Spatial pattern  Fine particulate matter  Land use regression model  MAIAC AOD  Beijing