基本信息
李连发 男 硕导 地理科学与资源研究所
电子邮件:lilf@lreis.ac.cn
通信地址:北京市大屯路(甲)11号
邮政编码:100101

招生信息

   
招生专业
070503-地图学与地理信息系统
120120-管理运筹学
071400-统计学
招生方向
空间分析,信息挖掘,风险分析
公共健康
网络挖掘

教育背景

2001-09--2005-01 中国科学院地理科学与资源研究所 博士
1998-09--2001-07 中国科学院地理科学与资源研究所 硕士
1993-09--1997-07 南京大学 学士

工作经历

   
工作简历
2009-07--2011-07 中国科学院地理科学与资源研究所 副研究员
2007-09--2009-07 中国科学院地理科学与资源研究所 助理研究员
2007-05--2008-08 香港理工大学 研究助理

专利与奖励

   
奖励信息
(1) 中国科学院王宽诚博士后工作奖,院级级,2004
(2) 中国科学院院长奖学金,院级级,2004
专利成果
(1) 一种精细尺度下的动态风险及易损性预测方法,发明,2010,第1作者,专利号:ZL200810222052.8
(2) 一种基于栅格的空间异质模式识别方法及分层方法,发明,2010,第1作者,专利号:ZL200810116559.5

出版信息

   
发表论文
[1] Li, Lianfa. Geospatial constrained optimization to simulate and predict spatiotemporal trends of air pollutants. SPATIAL STATISTICS[J]. 2021, 45: http://dx.doi.org/10.1016/j.spasta.2021.100533.
[2] Lianfa Li. Geographic Graph Network for Robust Inversion of Particulate Matters. REMOTE SENSING[J]. 2021, 13(21): http://dx.doi.org/10.3390/rs13214341.
[3] Lianfa Li, Jiajie Wu. Spatiotemporal estimation of satellite-borne and ground-level NO2 using full residual deep networks. Remote Sensing of Environment. 2021, 254: [4] 李连发, Ying Fang, Jun Wu, WANG Jinfeng, Yong Ge. Encoder-Decoder Full Residual Deep Networks for Robust Regression and Spatiotemporal Estimation. IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS[J]. 2021, 32(9): 4217-4230, [5] Lianfa Li. High-Resolution Mapping of Aerosol Optical Depth and Ground Aerosol Coefficients for Mainland China. REMOTE SENSING[J]. 2021, 13(12): http://dx.doi.org/10.3390/rs13122324.
[6] Li, Lianfa, Franklin, Meredith, Girguis, Mariam, Lurmann, Frederick, Wu, Jun, Pavlovic, Nathan, Breton, Carrie, Gilliland, Frank, Habre, Rima. Spatiotemporal imputation of MAIAC AOD using deep learning with downscaling. REMOTE SENSING OF ENVIRONMENT[J]. 2020, 237: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7063693/.
[7] Li, Lianfa. A Robust Deep Learning Approach for Spatiotemporal Estimation of Satellite AOD and PM2.5. REMOTE SENSING[J]. 2020, 12(2): http://dx.doi.org/10.3390/rs12020264.
[8] Li, Lianfa. Optimal Inversion of Conversion Parameters from Satellite AOD to Ground Aerosol Extinction Coefficient Using Automatic Differentiation. REMOTE SENSING[J]. 2020, 12(3): https://doaj.org/article/8fe32f757a9d45118d000daa0203c21c.
[9] Li, Lianfa, Girguis, Mariam, Lurmann, Frederick, Pavlovic, Nathan, McClure, Crystal, Franklin, Meredith, Wu, Jun, Oman, Luke D, Breton, Carrie, Gilliland, Frank, Habre, Rima. Ensemble-based deep learning for estimating PM2.5 over California with multisource big data including wildfire smoke. ENVIRONMENT INTERNATIONAL[J]. 2020, 145: http://dx.doi.org/10.1016/j.envint.2020.106143.
[10] Li, Lianfa, Girguis, Mariam, Lurmann, Frederick, Wu, Jun, Urman, Robert, Rappaport, Edward, Ritz, Beate, Franklin, Meredith, Breton, Carrie, Gilliland, Frank, Habre, Rima. Cluster-based bagging of constrained mixed-effects models for high spatiotemporal resolution nitrogen oxides prediction over large regions. ENVIRONMENT INTERNATIONAL[J]. 2019, 128: 310-323, http://dx.doi.org/10.1016/j.envint.2019.04.057.
[11] Lianfa Li. Deep Residual Autoencoder with Multiscaling for Semantic Segmentation of Land-Use Images. Remote Sensing[J]. 2019, 11(18): http://dx.doi.org/10.3390/rs11182142.
[12] 方颖, 李连发. 基于机器学习的高精度高分辨率气象因子时空估计. 地球信息科学学报[J]. 2019, 799-813, [13] Li, Lianfa. Geographically Weighted Machine Learning and Downscaling for High-Resolution Spatiotemporal Estimations of Wind Speed. Remote Sensing[J]. 2019, 11(11): https://doaj.org/article/5c46f6678a8a4949a77929d19b10faeb.
[14] Li, Lianfa, Qiu, Wenyang, Xu, Chengdong, Wang, Jinfeng. A spatiotemporal mixed model to assess the influence of environmental and socioeconomic factors on the incidence of hand, foot and mouth disease. BMC PUBLIC HEALTH[J]. 2018, 18(1): http://ir.igsnrr.ac.cn/handle/311030/57150.
[15] Li, Lianfa, Zhang, Jiehao, Meng, Xia, Fang, Ying, Ge, Yong, Wang, Jinfeng, Wang, Chengyi, Wu, Jun, Kan, Haidong. Estimation of PM2.5 concentrations at a high spatiotemporal resolution using constrained mixed-effect bagging models with MAIAC aerosol optical depth. REMOTE SENSING OF ENVIRONMENT[J]. 2018, 217: 573-586, http://ir.igsnrr.ac.cn/handle/311030/52745.
[16] Li, Lianfa, Lurmann, Fred, Habre, Rima, Urman, Robert, Rappaport, Edward, Ritz, Beate, Chen, JiuChiuan, Gilliland, Frank D, Wu, Jun. Constrained Mixed-Effect Models with Ensemble Learning for Prediction of Nitrogen Oxides Concentrations at High Spatiotemporal Resolution. ENVIRONMENTAL SCIENCE & TECHNOLOGY[J]. 2017, 51(17): 9920-9929, https://www.webofscience.com/wos/woscc/full-record/WOS:000410255800054.
[17] Li, Lianfa, Zhang, Jiehao, Qiu, Wenyang, Wang, Jinfeng, Fang, Ying. An Ensemble Spatiotemporal Model for Predicting PM2.5 Concentrations. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH[J]. 2017, 14(5): https://www.webofscience.com/wos/woscc/full-record/WOS:000404106400096.
[18] Lu, ZhiJun, Li, LianFa, Jiang, MingXi, Huang, HanDong, Bao, DaChuan. Can the soil seed bank contribute to revegetation of the drawdown zone in the Three Gorges Reservoir Region?. PLANT ECOLOGY[J]. 2010, 209(1): 153-165, http://dx.doi.org/10.1007/s11258-010-9732-y.
发表著作
(1) 空间抽样与统计推断,Spatial sampling and statistical inference,科学出版社,2009-05,第3作者
(2) 空间分析,Spatial analysis,科学出版社,2006-06,第5作者

科研活动

   
科研项目
(1) 基于GIS及空间分析的周边环境风险时空建模及辅助决策研究,主持,国家级,2012-01--2015-12
(2) 空间统计高性能并行计算,主持,专项级,2011-10--2013-10
(3) 公共健康风险分析,主持,专项级,2011-03--2018-03

指导学生

现指导学生

王阳  硕士研究生  070503-地图学与地理信息系统  

张妍  博士研究生  071012-生态学  

杨勋凤  硕士研究生  070503-地图学与地理信息系统