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Encoder-Decoder Full Residual Deep Networks for Robust Regression and Spatiotemporal Estimation 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 卷号: 32, 期号: 9, 页码: 4217-4230
Authors:  Li, Lianfa;  Fang, Ying;  Wu, Jun;  Wang, Jinfeng;  Ge, Yong
Favorite  |  View/Download:10/0  |  Submit date:2021/11/05
Bias  deep learning  encoder-decoder  full residual deep network  non-linear regression  prediction of satellite aerosol optical depth (AOD) and PM2.5  spatiotemporal modeling  
A Framework to Predict High-Resolution Spatiotemporal PM(2.5)Distributions Using a Deep-Learning Model: A Case Study of Shijiazhuang, China 期刊论文
REMOTE SENSING, 2020, 卷号: 12, 期号: 17, 页码: 33
Authors:  Zhang, Guangyuan;  Lu, Haiyue;  Dong, Jin;  Poslad, Stefan;  Li, Runkui;  Zhang, Xiaoshuai;  Rui, Xiaoping
Favorite  |  View/Download:12/0  |  Submit date:2021/03/16
PM2.5  AOD  XGBoost  prediction  deep learning  ConvLSTM  SARIMA  
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:35/0  |  Submit date:2019/05/23
daily PM2  5concentrations  remote sensing  MODIS AOD  machine learning algorithm  spatial and temporal distribution  
Estimation of PM2.5 concentrations at a high spatiotemporal resolution using constrained mixed-effect bagging models with MAIAC aerosol optical depth 期刊论文
REMOTE SENSING OF ENVIRONMENT, 2018, 卷号: 217, 页码: 573-586
Authors:  Li, Lianfa;  Zhang, Jiehao;  Meng, Xia;  Fang, Ying;  Ge, Yong;  Wang, Jinfeng;  Wang, Chengyi;  Wu, Jun;  Kan, Haidong
Favorite  |  View/Download:42/0  |  Submit date:2019/05/23
PM2.5  MAIAC AOD  High spatiotemporal resolution  Temporal variation  AOD-PM2.5 associations  Spatial effects  Missingness  Machine learning  
Spatiotemporal patterns of PM10 concentrations over China during 2005-2016: A satellite-based estimation using the random forests approach 期刊论文
ENVIRONMENTAL POLLUTION, 2018, 卷号: 242, 页码: 605-613
Authors:  Chen, Gongbo;  Wang, Yichao;  Li, Shanshan;  Cao, Wei;  Ren, Hongyan;  Knibbs, Luke D.;  Abramson, Michael J.;  Guo, Yuming
Favorite  |  View/Download:37/0  |  Submit date:2019/05/23
PM10  AOD  Random forests  China  
Estimating spatiotemporal distribution of PM1 concentrations in China with satellite remote sensing, meteorology, and land use information 期刊论文
ENVIRONMENTAL POLLUTION, 2018, 卷号: 233, 页码: 1086-1094
Authors:  Chen, Gongbo;  Knibbs, Luke D.;  Zhang, Wenyi;  Li, Shanshan;  Cao, Wei;  Guo, Jianping;  Ren, Hongyan;  Wang, Boguang;  Wang, Hao;  Williams, Gail;  Hamm, N. A. S.;  Guo, Yuming
Favorite  |  View/Download:34/0  |  Submit date:2019/05/30
PM1  Aerosol optical depth  Meteorology  Land use  China  
Estimating ground-level PM2.5 concentrations in Beijing using a satellite-based geographically and temporally weighted regression model 期刊论文
REMOTE SENSING OF ENVIRONMENT, 2017, 卷号: 198, 页码: 140-149
Authors:  Guo, Yuanxi;  Tang, Qiuhong;  Gong, Dao-Yi;  Zhang, Ziyin
Favorite  |  View/Download:8/0  |  Submit date:2019/09/25
PM2.5  Aerosol optical depth  MODIS  Geographically and temporally weighted  regression  Beijing  
Evaluating the Use of DMSP/OLS Nighttime Light Imagery in Predicting PM2.5 Concentrations in the Northeastern United States 期刊论文
REMOTE SENSING, 2017, 卷号: 9, 期号: 6, 页码: 16
Authors:  Li, Xueke;  Zhang, Chuanrong;  Li, Weidong;  Liu, Kai
Favorite  |  View/Download:27/0  |  Submit date:2019/09/25
PM2.5  nighttime light (NTL)  Vegetation Adjusted NTL Urban Index (VANUI)  aerosol optical depth (AOD)  geographically weighted regression (GWR)  
PM2.5浓度的多源时空预测——以山东省为例 学位论文
硕士, 北京: 中国科学院研究生院, 2017
Authors:  张杰昊
View  |  Adobe PDF(4317Kb)  |  Favorite  |  View/Download:196/72  |  Submit date:2017/11/20
Spatio-Temporal Variation of PM2.5 Concentrations and Their Relationship with Geographic and Socioeconomic Factors in China SCI/SSCI论文
2014
Authors:  Lin G.;  Fu J. Y.;  Jiang D.;  Hu W. S.;  Dong D. L.;  Huang Y. H.;  Zhao M. D.
Adobe PDF(1151Kb)  |  Favorite  |  View/Download:92/41  |  Submit date:2014/12/24
Pm2.5  Gdp  Population  Land Use Change  Geographically Weighted  Regression  Aerosol Optical Depth  Particulate Matter  Pm10  Location  Models