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Ensemble-based deep learning for estimating PM2.5 over California with multisource big data including wildfire smoke 期刊论文
ENVIRONMENT INTERNATIONAL, 2020, 卷号: 145, 页码: 16
Authors:  Li, Lianfa;  Girguis, Mariam;  Lurmann, Frederick;  Pavlovic, Nathan;  McClure, Crystal;  Franklin, Meredith;  Wu, Jun;  Oman, Luke D.;  Breton, Carrie;  Gilliland, Frank;  Habre, Rima
Favorite  |  View/Download:25/0  |  Submit date:2021/03/16
PM2.5  Machine learning  Air pollution exposure  Wildfires  Remote sensing  California  High spatiotemporal resolution  
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:12/0  |  Submit date:2020/05/19
Aerosol Optical Depth  MAIAC  MERRA-2 GMI Replay Simulation  Deep learning  Downscaling  Missingness imputation  Air quality  
Cluster-based bagging of constrained mixed-effects models for high spatiotemporal resolution nitrogen oxides prediction over large regions 期刊论文
ENVIRONMENT INTERNATIONAL, 2019, 卷号: 128, 页码: 310-323
Authors:  Li, Lianfa;  Girguis, Mariam;  Lurmann, Frederick;  Wu, Jun;  Urman, Robert;  Rappaport, Edward;  Ritz, Beate;  Franklin, Meredith;  Breton, Carrie;  Gilliland, Frank;  Habre, Rima
Favorite  |  View/Download:35/0  |  Submit date:2019/09/24
Air pollution  Nitrogen oxides  Spatiotemporal variability  Generalization  Machine learning  Cluster methods