✉ yuqibai@tsinghua.edu.cn
☎ +86-010-62795269
 

Academic Qualifications

2003 Ph.D. in Cartography and GIS, Institute of Remote Sensing Applications, Chinese Academy of Sciences, China

2000 Master in Computer Science (GIS), China University of Geosciences, China

1997 Bachelor in Computer Science, China University of Geosciences, China

Current Position

Associate Professor, Center for Earth System Science, Tsinghua University

Associate Director, Center for Global Change Data Processing and Analysis, Beijing Normal University

Member, CHINA-GEO Science and Technology Advisory Board, China

Co-Lead, GEO CL-01-C4 Task (easy access to, and use of climate information), GEO

Working Experience

2007-2011 Research Assistant Professor, Center for Spatial Information Science and Systems (CSISS), George Mason University (GMU)

2004-2007 Post-doc, CSISS, GMU

2003-2004 Research Associate, Institute of Remote Sensing Applications, Chinese Academy of Sciences

Research Area

Spatiotemporal data model, data index and data fusion for remotely sensed image and geographic information

Big data organization, management and analytics for remotely sensed image and geographic information

Data fusion method for ground-based and satellite-based air quality observation data

Smart City

Healthy City

Publications

Journal Articles

Bai, Y., & Di, L. (2011). Providing access to satellite imagery through OGC catalog service interfaces in support of the Global Earth Observation System of Systems. Computers & Geosciences, 37, 435-443

Bai, Y., & Di, L. (2012). Review of Geospatial Data Systems' Support of Global Change Studies. British Journal of Environment and Climate Change, 2, 421

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

Bai, Y., Di, L., Nebert, D.D., Chen, A., Wei, Y., Cheng, X., Shao, Y., Shen, D., Shrestha, R., & Wang, H. (2012). GEOSS component and service registry: Design, implementation and lessons learned. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 5, 1678-1686

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

Bai, Y., Jacobs, C.A., Kwan, M.-P., & Waldmann, C. (2017). Geoscience and the Technological Revolution [Perspectives]. IEEE Geoscience and Remote Sensing Magazine, 5, 72-75

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

Chen, X., Lin, Y., Zhang, M., Yu, L., Li, H., & Bai, Y. (2017). Assessment of the cropland classifications in four global land cover datasets: A case study of Shaanxi Province, China. Journal of Integrative Agriculture, 16, 298-311

Di, L., Eugene, G.Y., Kang, L., Shrestha, R., & BAI, Y.-q. (2017). RF-CLASS: A remote-sensing-based flood crop loss assessment cyber-service system for supporting crop statistics and insurance decision-making. Journal of Integrative Agriculture, 16, 408-423

Feng, D., Zhao, Y., Yu, L., Li, C., Wang, J., Clinton, N., Bai, Y., Belward, A., Zhu, Z., & 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, 4648-4664

Gong, P., Liu, H., Zhang, M., Li, C., Wang, J., Huang, H., Clinton, N., Ji, L., Li, W., & Bai, Y. (2019). Stable classification with limited sample: transferring a 30-m resolution sample set collected in 2015 to mapping 10-m resolution global land cover in 2017. Science Bulletin, 64, 370-373

Gong, P., Yu, L., Li, C., Wang, J., Liang, L., Li, X., Ji, L., Bai, Y., Cheng, Y., & Zhu, Z. (2016). A new research paradigm for global land cover mapping. Annals of GIS, 22, 87-102

Huang, H., Chen, Y., Clinton, N., Wang, J., Wang, X., Liu, C., Gong, P., Yang, J., Bai, Y., & Zheng, Y. (2017). Mapping major land cover dynamics in Beijing using all Landsat images in Google Earth Engine. remote Sensing of Environment, 202, 166-176

Li, R., Bai, Y., Heaney, A., Kandula, S., Cai, J., Zhao, X., Xu, B., & Shaman, J. (2017). Inference and forecast of H7N9 influenza in China, 2013 to 2015. Eurosurveillance, 22

Li, R., Zhang, T., Bai, Y., Li, H., Wang, Y., Bi, Y., Chang, J., & Xu, B. (2018a). Live Poultry Trading Drives China’s H7N9 Viral Evolution and Geographical Network Propagation. Frontiers in public health, 6, 210

Li, S., Wang, M., Bond, N., Huang, W., Wang, Y., Xu, S., Liu, J., Wang, B., & Bai, Y*. (2018b). Precursors of September Arctic Sea-Ice Extent Based on Causal Effect Networks. Atmosphere, 9, 437

Lin, Y., Xu, H., & Bai, Y*. (2017). Semantically Enhanced Catalogue Search Model for Remotely Sensed Imagery. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 10, 1256-1264

Lv, B., Cai, J., Xu, B., & Bai, Y*. (2017). Understanding the Rising Phase of the PM2. 5 Concentration Evolution in Large China Cities. Scientific Reports, 7, 46456

Lv, B., Cobourn, W.G., & Bai, Y*. (2016a). Development of nonlinear empirical models to forecast daily PM2. 5 and ozone levels in three large Chinese cities. Atmospheric Environment, 147, 209-223

Lv, B., Hu, Y., Chang, H.H., Russell, A.G., & Bai, Y*. (2016b). 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, 4752-4759

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

Shao, Y., Di, L., Bai, Y., Wang, H., & Yang, C. (2013). Federated catalogue for discovering earth observation data. Photogrammetrie-Fernerkundung-Geoinformation, 2013, 43-52

Shrestha, R., Di, L., Eugene, G.Y., Kang, L., SHAO, Y.-z., & BAI, Y.-q. (2017). Regression model to estimate flood impact on corn yield using MODIS NDVI and USDA cropland data layer. Journal of Integrative Agriculture, 16, 398-407

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, 629-649

Watts, N., Adger, W.N., Ayeb-Karlsson, S., Bai, Y., Byass, P., Campbell-Lendrum, D., Colbourn, T., Cox, P., Davies, M., & Depledge, M. (2017). The Lancet Countdown: tracking progress on health and climate change. The Lancet, 389, 1151-1164

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, 12280-12288

Xu, H., Bechle, M.J., Wang, M., Szpiro, A.A., Vedal, S., Bai, Y.*, & Marshall, J.D. (2019a). National PM2. 5 and NO2 exposure models for China based on land use regression, satellite measurements, and universal kriging. Science of the Total Environment, 655, 423-433

Xu, H., Li, S., Bai, Y.*, Dong, W., Huang, W., Xu, S., Lin, Y., Wang, B., Wu, F., & Xin, X. (2019b). A collaborative analysis framework for distributed gridded environmental data. Environmental Modelling & Software, 111, 324-339

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 and Remote Sensing, 7, 4523-4529

Yang, J., Siri, J.G., Remais, J.V., Cheng, Q., Zhang, H., Chan, K.K., Sun, Z., Zhao, Y., Cong, N., & Li, X. (2018). The Tsinghua–Lancet Commission on Healthy Cities in China: unlocking the power of cities for a healthy China. The Lancet

Yu, G.E., Zhao, P., Di, L., Chen, A., Deng, M., & Bai, Y. (2012). BPELPower—A BPEL execution engine for geospatial web services. Computers & Geosciences, 47, 87-101

Zhao, X., Cai, J., Feng, D., Bai, Y., & Xu, B. (2016a). Meteorological influence on the 2009 influenza a (H1N1) pandemic in mainland China. Environmental Earth Sciences, 75, 878

Zhao, Y., Feng, D., Yu, L., Wang, X., Chen, Y., Bai, Y., Hernández, H.J., Galleguillos, M., Estades, C., & Biging, G.S. (2016b). Detailed dynamic land cover mapping of Chile: Accuracy improvement by integrating multi-temporal data. remote Sensing of Environment, 183, 170-185

白玉琪 (2013). 全球變化科學領域的資訊基礎設施研究. 地球資訊科學學報, 15, 809-813

Academic Awards

2014, 2011, 2009 NASA ESTO Certificate of Appreciation

2013 IEEE Senior Member

2009 NASA Group Achievement Award to Multi-Mission Data Support Team

2008 NASA Robert H. Goddard Award for Exceptional Achievement for OUTREACH

2003 Chinese Academy of Sciences Dean Excellence Award

Professional Affiliations

2006-Now Senior Member, Institute of Electrical and Electronics Engineers (IEEE)

2009-Now Lifetime Member, Chinese Professional in Geographic Information Systems (CPGIS)