师资

姓  名:

白玉琪

职  称:

副教授

办公电话:

62795269

电子邮件:

 yuqibai@tsinghua.edu.cn

教育背景

2003 博士(地图学与地理信息系统), 中国科学院遥感应用研究所, 中国
2000 硕士(计算机科学与技术), 中国地质大学(武汉), 中国

1997 学士(计算机科学与技术), 中国地质大学(武汉), 中国

工作经历

201612-现在 清华大学全球变化研究院暨地球系统科学系,副教授
20118-201612  清华大学地球系统科学研究中心,副教授
2007-2011   美国乔治梅森大学,研究助理教授
2004-2007   美国乔治梅森大学,博士后
2003-2004   中国科学院遥感应用研究所,助理研究员

研究兴趣

遥感和地理信息的时空数据模型和时空索引、多源数据融合
遥感和地理信息大数据组织、管理和分析方法
遥感地理信息的数据模型、处理流程和共享交换的标准规范
智慧城市和健康城市

奖励荣誉

中国科学院院长优秀奖 (2003)
NASA地球科学技术办公室(ESTO) 项目评审专家 (2009, 2011, 2014)
NASA 罗伯特戈达德奖(2008)
NASA团队成就奖 (2009)
IEEE高级会员(2013) 

学术成果

1) Bai, Y, Di, L, Chen, A, Liu, Y, & Wei, Y (2007) Towards a geospatial catalogue federation service. Photogrammetric Engineering & Remote Sensing, 73(6), 699-708 doi: 1014358/pers736699.

2) Chen, A, Di, L, Wei, Y, Bai, Y & Liu, Y (2009) Use of grid computing for modeling virtual geospatial products. International Journal of Geographical Information Science, 23(5), 581-604 doi: 101080/13658810902733666.

3) Bai, Y, Di, L, & Wei, Y (2009) A taxonomy of geospatial services for global service discovery and interoperability. Computers & Geosciences, 35(4), 783-790 doi: 101016/jcageo200712018.

4) Chen, A, Di, L, Bai, Y, Wei, Y, & Liu, Y (2010) Grid computing enhances standards-compatible geospatial catalogue service. Computers & Geosciences, 36(4), 411-421 doi: 101016/jcageo200909006.

5) Bai, Y, & Di, L (2011) Providing access to satellite imagery through ogc catalog service interfaces in support of the global earth observation system of the global earth observation system of systems. Computers & Geosciences, 37(4), 435-443 doi:101016/jcageo201009010.

6) Bai, Y, Di, L, Nebert, D D, Chen, A, Wei, Y, Cheng, X, …Wang, H (2012) Geoss component and service registry: design, implementation and lessons learned. IEEE Journal of Selected Topics in Applied Earth Observations & Remote Sensing, 5(6), 1678-1686 doi:101109/jstars20122215914.

7) Yu, G, Zhao, P, Di, L, Chen, A, Deng, M, & Bai, Y (2012) Bpelpower- a bpel execution engine for geospatial web services. Computers & Geosciences, 47(10), 87-101 doi: 101016/jcageo201111029.

8) Bai, Y (2013) Research cyberinfrastructure for global change studies. Geo-information Science, 15(6), 809-813 doi:103724/spj1047201300809 (In Chinese with English abstract).

9) Shao, Y, Di, L, Bai, Y, Wang, H, & Yang, C (2013) Federated catalogue for discovering earth observation data.  Journal of photogrammetry, remote sensing and geoinformation processing, 2013(1), 43-52 doi: 101127/1432-8364/2013/0157.

10) Yan, A, Lv, B, Liu, F, Li, Q, Lin, G, & Bai, Y (2014) FluxDataONE: an integrated solution for the management, visualization, and analysis of flux data for agricultural and ecological studies. IEEE Journal of Selected Topics in Applied Earth Observations & Remote Sensing, 7(11), 4523-4529 doi: 101109/jstars20142321473.

11) Xie, Y, Wang, Y, Zhang, K, Dong, W, Lv, B, & Bai, Y (2015) Daily estimation of ground-level PM2.5 concentrations over Beijing using 3 km resolution MODIS AOD. Environmental Science & Technology, 49(20), 12280-8 doi:101021/acsest5b01413.

12) Lv, B, Liu, Y, Yu, P, Zhan, B, & Bai, Y (2015) Characterizations of PM2.5 pollution pathways and sources analysis in four large cities in China. Aerosol and Air Quality Research, 15(5), 1836-1843 doi: 104209/aaqr2015040266.

13) Feng, D, Zhao, Y, Yu, L, Li, C, Wang, J, Clinton, N, …Gong, P (2016) Circa 2014 african land-cover maps compatible with from-glc and glc2000 classification schemes based on multi-seasonal landsat data. International Journal of Remote Sensing, 37(19), 4648-4664 doi: 101080/0143116120161218090.

14) Gong, P, Yu, L, Li, C, Wang, J, Liang, L, Li, X, …Zhu, Z (2016) A new research paradigm for global land cover mapping. Annals of GIS(2), 87-102 doi: 101080/1947568320161164247.

15) Lin, Y, Xu, Hao, & Bai, Y (2016) Semantically enhanced catalogue search model for remotely sensed imagery. IEEE Journal of Selected Topics in Applied Earth Observations & Remote Sensing, PP(99), 1-9 doi:101109/jstars20162590835.

16) Lv, B, Cobourn, W G, & Bai, Y (2016) Development of nonlinear empirical models to forecast daily PM2.5, and Ozone levels in three large Chinese cities. Atmospheric Environment, 147, 209-223 doi: 101016/jatmosenv201610003.

17) Lv, B, Hu, Y, Chang, H H, Russell, A G, & Bai, Y (2016) Improving the accuracy of daily PM2.5 distributions derived from the fusion of ground-level measurements with aerosol optical depth observations, a case study in north China. Environmental Science & Technology, 50(9), 4752–4759 doi: 101021/acsest5b05940.

18) Lv, B, Zhang, B, & Bai, Y (2016) A systematic analysis of PM2.5 in Beijing and its sources from 2000 to 2012. Atmospheric Environment, 124, 98-108 doi: 101016/jatmosenv201509031.

19) Sun, Z, Fang, H, Di, L, Yue, P, Tan, X, & Bai, Y (2016) Developing a web-based system for supervised classification of remote sensing images. Geoinformatica, 20(4), 629-649 doi: 101007/s10707-016-0252-3.

20) Watts, N, Adger, W N, Ayeb-Karlsson, S, Bai, Y, Byass, P, Campbell-Lendrum, D, …Costello, A (2016) The lancet, countdown: tracking progress on health and climate change. The Lancet, 6736(16) doi: 101016/S0140-6736(16)32124-9.

21) Zhao, X, Cai, J, Feng, D, Bai, Y, & Xu, B (2016) Meteorological influence on the 2009 influenza a (h1n1) pandemic in mainland china. Environmental Earth Sciences, 75, 878 doi: 101007/s12665-016-5275-4.

22) Zhao, Y, Feng, D, Yu, L, Wang, X, Chen, Y, Bai, Y, …Gong, P (2016) Detailed dynamic land cover mapping of Chile: accuracy improvement by integrating multi-temporal data. Remote Sensing of Environment, 183, 170-185 doi: 101016/jrse201605016.

23) Bai, Y, Jacobs, C A, Kwan, M, & Waldmann, C (accepted) Is geoscience ready to address the challenges and capture the opportunities in the next decade? IEEE Geoscience and Remote Sensing Magazine.

24) Chen, X, Lin, Y, Zhang, M, Yu, L, & Bai, Y (accepted) Assessment of the cropland classifications in four global land cover datasets: a case study of Shaanxi province, china. Journal of Integrated Agriculture.

25) Di, L, Yu, E, Kang, L, Shrestha, R, & Bai, Y (accepted) RF-CLASS: A remote-sensing-based flood crop loss assessment Cyber-service system for supporting crop statistics and insurance. Journal of Integrated Agriculture.

26) Shrestha, R, Di, L, Yu, E, Kang, L, Shao, Y, & Bai, Y (accepted) Regression model to estimate flood impact on corn yield using MODIS NDVI and USDA Cropland data layer. Journal of Integrated Agriculture.

27) Lv, B, Hu, Y, Chang, H, Russell, AG, Cai, J, Xu, B, & Bai, Y (accepted) Daily estimation of ground-level PM2.5 concentrations at 4 km resolution over Beijing-Tianjin-Hebei by fusing MODIS AOD and ground observations. Science of the Total Environment.