白玉琪，清華大學副教授，澳門城市大學兼職教授，全球綜合對地組織(GEO) GEOSS-Evolve 成員，Infrastructure Implementation Board(IIB)成員。
基本介紹
- 中文名：白玉琪
- 畢業院校：中科院遙感套用研究所
- 學位/學歷：博士
- 專業方向：地球系統科學
- 職務：全球綜合對地組織(GEO) GEOSS-Evolve 成員
人物經歷,研究方向,主要貢獻,獲獎記錄,科研項目,學術兼職,學術論文,
人物經歷
1997.9 – 2000.7 中國地質大學（武漢）信息工程學院 碩士。
2000.9 – 2003.7 中科院遙感套用研究所 博士。
2003.9 – 2004.6 中科院遙感套用研究所 助理研究員。
2004.7 – 2007.9 George Mason University Post-doc。
2007.10 – 2011.8 George Mason University Research Assistant Professor。
2011.9 – Present 清華大學地球系統科學研究中心 副教授。
國際綜合地球觀測系統(GEOSS)專家組成員，國際開放地理信息協會(OGC)元數據服務標準工作組成員。
曾擔任美國航空航天局(NASA)科研項目申請的評審專家(2009,2011)。
研究方向
遙感和地理信息的時空數據模型和時空索引、多源數據融合
遙感和地理信息大數據組織、管理和分析方法
遙感地理信息的數據模型、處理流程和共享交換的標準規範
智慧城市和健康城市
遙感和地理信息大數據組織、管理和分析方法
遙感地理信息的數據模型、處理流程和共享交換的標準規範
智慧城市和健康城市
主要貢獻
負責設計和開發了國際綜合地球觀測系統(GEOSS)的系統與信息服務註冊中心。做為GEOSS核心組件，該系統管理和維護著GEOSS框架下共享的數據和信息資源的目錄。截至2011年8月，該系統被超過117個國家和地區的科研和管理人員所訪問。
提出了基於開放標準的元數據服務聯合(Federation)的解決方案，成功地實現了對觀測數據和氣象模擬數據的集成查詢和一致訪問。所構建的GMU GeoBrain元數據服務聯合系統，實現了對美國航空航天局對地觀測系統元數據服務(ECHO)、美國能源部勞倫斯·利弗莫爾(LLNL)國家實驗室的氣象模擬數據元數據服務以及美國喬治.梅森大學全球 Landsat元數據服務的透明集成。
擔任了國際衛星對地觀測委員會(CEOS)的衛星數據集成目錄服務(CWIC)的系統設計組組員和開發工作組組長。截至2011年8月，CWIC系統已連線了美國航空航天局、美國大氣與海洋管理局、美國地質調查局和巴西國家空間研究院的衛星數據業務系統，也連線了包括中科院光電院在內的三個北京節點。該系統具備了衛星數據的集成發現和一致訪問的功能，為CEOS各個成員國家的對地觀測衛星數據整體進入GEOSS共享框架提供了技術保障。
獲獎記錄
1. NASA Group Achievement Award to Multi-Mission Data Support Team, April 16, 2009. (In recognition of my dedicated effort, as part of the Multi-Mission Data Support Team, to facilitate the use of NASA Earth science data, by the broader user community, through innovative Multi-Mission Data Services)
2. U.S. NASA ESTO Certificate of Appreciation, January 2009. (In recognition of my valuable contribution and outstanding support to the Advanced Information Systems Technology program and the NASA Earth Science Technology Office as a proposal reviewer)
3. NASA Robert H. Goddard Award for Exceptional Achievement for OUTREACH, September 10, 2008. (In recognition of my dedicated effort, as part of the Multi-Mission Data Support Team, to facilitate the use of NASA Earth science data, by the broader user community, through innovative Multi-Mission Data Services)
4.院長優秀獎, 中國科學院，2003.7
科研項目
1. 國家重點研發計畫"全球變化及應對"重點專項,《全球氣候數據集生成及氣候變化關鍵過程和要素監測》項目,第三課題,《陸表氣候數據集生成與分析》。在研,主持。
2. 國家重點研發計畫"國家質量基礎的共性技術研究與套用"重點專項,"戰略性新興產業關鍵國際標準研究(一期)"項目, 第五課題,《地理信息和遙感關鍵國際標準研究》。在研,參與。
3. 國際標準化組織地理信息技術委員會ISO/TC 211《19130-3 地理信息影像感測器的地理定位模型》標準研製。在研,主持。
4. 南京市溧水區《"健康溧水2030"規劃綱要》。在研,參與。
5. 國土資源部城市土地資源監測與仿真重點實驗室《城市建成環境的健康維度感知及其提升途徑研究—以深圳市為例》。在研,參與。
6. 清華大學新型城鎮化研究院健康城市研究中心《健康城市數據模型研究》。在研,主持。
7. 清華大學中國城市研究院《城市體檢評估體系研究》。在研,主持。
8. 國家氣候中心《BCC氣候模式數據的協同線上分析方法研究》。在研,主持。
9. 全球綜合對地觀測系統(GEOSS) Component and Service Registry(CSR)項目, Technical Lead (2007-2011)。結題。
10. 國際衛星對地觀測委員會(CEOS) WGISS Integrated Catalogue(CWIC)項目, Technical Lead (2010-2011)。結題。
學術兼職
- 全球綜合對地組織(GEO) GEOSS-Evolve 成員,Infrastructure Implementation Board(IIB)成員
2. 世界氣候研究計畫(WCRP)耦合模擬工作組(WGCM)模式數據基礎設施委員會(Infrastructure Panel, WIP)成員
3. 中國參加地球觀測組織(GEO)工作部際協調小組支撐專家
4. 澳門城市大學兼職教授
學術論文
1.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
2.Bai, Y., & Di, L. (2012). Review of Geospatial Data Systems' Support of Global Change Studies. British Journal of Environment and Climate Change, 2, 421
3.Bai, Y., Di, L., Chen, A., Liu, Y., & Wei, Y. (2007). Towards a geospatial catalogue federation service. Photogrammetric Engineering & Remote Sensing, 73, 699-708
4.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
5.Bai, Y., Di, L., & Wei, Y. (2009). A taxonomy of geospatial services for global service discovery and interoperability. Computers & Geosciences, 35, 783-790
6.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
7.Chen, A., Di, L., Bai, Y., Wei, Y., & Liu, Y. (2010). Grid computing enhances standards-compatible geospatial catalogue service. Computers & Geosciences, 36, 411-421
8.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
9.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
10.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
11.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
12.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
13.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
14.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
15.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
16.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
17.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
18.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
19.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
20.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
21.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
22.Shao, Y., Di, L., Bai, Y., Wang, H., & Yang, C. (2013). Federated catalogue for discovering earth observation data. Photogrammetrie-Fernerkundung-Geoinformation, 2013, 43-52
23.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
24.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
25.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
26.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
27.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
28.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
29.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
30.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
31.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
32.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
33.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
34.白玉琪 (2013). 全球變化科學領域的信息基礎設施研究. 地球信息科學學報, 15, 809-813
2.Bai, Y., & Di, L. (2012). Review of Geospatial Data Systems' Support of Global Change Studies. British Journal of Environment and Climate Change, 2, 421
3.Bai, Y., Di, L., Chen, A., Liu, Y., & Wei, Y. (2007). Towards a geospatial catalogue federation service. Photogrammetric Engineering & Remote Sensing, 73, 699-708
4.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
5.Bai, Y., Di, L., & Wei, Y. (2009). A taxonomy of geospatial services for global service discovery and interoperability. Computers & Geosciences, 35, 783-790
6.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
7.Chen, A., Di, L., Bai, Y., Wei, Y., & Liu, Y. (2010). Grid computing enhances standards-compatible geospatial catalogue service. Computers & Geosciences, 36, 411-421
8.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
9.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
10.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
11.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
12.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
13.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
14.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
15.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
16.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
17.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
18.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
19.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
20.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
21.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
22.Shao, Y., Di, L., Bai, Y., Wang, H., & Yang, C. (2013). Federated catalogue for discovering earth observation data. Photogrammetrie-Fernerkundung-Geoinformation, 2013, 43-52
23.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
24.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
25.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
26.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
27.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
28.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
29.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
30.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
31.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
32.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
33.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
34.白玉琪 (2013). 全球變化科學領域的信息基礎設施研究. 地球信息科學學報, 15, 809-813
