CURRICULUM VITAE Dr. Xiaoyang Zhang Senior Research Scientist/Associate Professor Geospatial Sciences Center of Excellence (GSCE) Phone: 605-688-6714 (office) Department of Geogrpahy South Dakota State University E-mail: [email protected] 1021 Medary Ave, Wecota Hall, Box 506B, Brookings, SD 57007-3510 Education and Degree Ph.D. Department of Geography, King's College London, University of London, London, 02/1995- 05/1999. M.Sc. Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing, 09/1988-08/1991. B.Sc. Department of Geography, Peking University, Beijing, 09/1980-07/1984. Academic Appointment 8/2013-present: Associate Professor of Geography & Senior Research Scientist at the Geospatial Sciences Centers of Excellence (GSCE), South Dakota State University (SDSU), Brooking, SD. USA 6/2012-8/2013: Visiting Associate Research Scientist, University of Maryland at NOAA/NESDIS/STAR, College Park, MD, USA 4/2005-5/2012: Senior research scientist, Earth Resources Technology (ERT) at NOAA/NESDIS/STAR, Camps Springs, MD, USA 6/1999-3/2005: Research Associate and made as Research Assistant Professor in 2003, Department of Geography, Boston University 10/1988-2/1995: Research Assistant Professor (1988-1992) and Research Associate Professor (1992- 1995), Deputy of Department of Natural Resources and Land Use, Institute of Geodesy & Geophysics, Chinese Academy of Science, Wuhan, China 7/1984-9/1988: Research Assistant, Institute of Hydrobiology, Chinese Academy of Science, Wuhan, China Honors and Awards Overseas Research Students Award in the United Kingdom, 1995 to 1998. KC Wong Education Foundation in the University of London, 1995 to 1998. Second Award of the Progress of Science and Technology in Hubei Province, China, 1994. Third Award of the Progress of Science and Technology in Hubei Province, China, 1993. PUBLICATIONS (Citations: >7200. H-index: 27. http://scholar.google.com/citations?user=SrrF3Y0AAAAJ&hl=en) Edited Books 1 1. Zhang, X. (Ed.), 2012. Phenology and Climate Change, ISBN: 978-953-51-0336-3, InTech, Available from: http://www.intechopen.com/books/phenology-and-climate-change. Refereed Journal Papers (English) 1. Yan, D., Zhang, X., Yu, Y., Guo, W. and Hanan, N. P., 2016, Characterizing land surface phenology and responses to rainfall in the Sahara Desert, Journal of Geophysical Research- Biogeosciences, 121, http://dx.doi.org/10.1002/2016JG003441. 2. Peng, D., Wu, C., Zhang, B., Huete, A., Zhang, X., Sun, R., Lei, L., Huang, W., Liu, L., Liu, X., Li, J., Luo, S., Fang, B., 2016, The Influences of Drought and Land-Cover Conversion on Inter-Annual Variation of NPP in the Three-North Shelterbelt Program Zone of China Based on MODIS Data. PloS one, 11(6), http://dx.doi.org/10.1371/journal.pone.0158173. 3. Liang, L., Schwartz, M., Zhang, X., 2016, Mapping Temperate Vegetation Climate Adaptation Variability Using Normalized Land Surface Phenology, Climate, 4(2), 24; doi:10.3390/cli4020024 4. Yan, D., Zhang, X., Yu, Y., and Guo, W., 2016, A comparison of tropical rainforest phenology retrieved from geostationary (SEVIRI) and polar-orbiting (MODIS) sensors across the Congo Basin, IEEE Transactions On Geoscience and Remote Sensing, http://doi.org/10.1109/TGRS.2016.2552462. 5. Zhang, X., and Zhang, Q. 2016, Monitoring interannual variation in global crop yield using long-term AVHRR and MODIS observations, ISPRS Journal of Photogrammetry and Remote Sensing 114, 191- 205. 6. Liu, L., Zhang, X., Donnelly, A. and Liu, X. ,2016, Interannual variations in spring phenology and their response to climate change across the Tibetan Plateau from 1982 to 2013, Int. J. Biometeorol., doi:10.1007/s00484-016-1147-6 7. Wu, M., Zhang, X, Huang, W., Niu, Z., Wang,C., Li, W. and Hao, P., 2015, Reconstruction of Daily 30 m Data from HJ CCD, GF-1 WFV, Landsat, and MODIS Data for Crop Monitoring, Remote Sensing, http://dx.doi.org/10.3390/rs71215826. 8. Liang, L., Zhang, X., 2015. Coupled Spatiotemporal Variability of Temperature and Spring Phenology in the Eastern U.S., International Journal of Climatology, http://dx.doi.org/10.1002/joc.4456. 9. Yue, X., Unger, N., Keenan, T. F., Zhang, X., and Vogel, C. S. 2015. Probing the past 30-year phenology trend of US deciduous forests. Biogeosciences, 12, 4693–4709, doi:10.5194/bg-12-4693- 2015. 10. Senthilnath, J., Kumar, D., Benediktsson, J.A., Zhang, X., 2015. A novel hierarchical clustering technique based on splitting and merging. International Journal of Image and Data Fusion, dx.doi.org/10.1080/19479832.2015.1053995. 11. Zhang, X., 2015. Reconstruction of a Complete Global Time Series of Daily Vegetation Index Trajectory from Long-term AVHRR Data. Remote Sensing of Environment, dx.doi.org/10.1016/j.rse.2014.10.012. 12. Zhang, Q., Cheng, Y.B., Lyapustin, A.I., Wang, Y., Zhang, X., Suyker, A., Verma, S., Shuai, Y., Middleton, E.M., 2015. Estimation of crop gross primary production (GPP): II. Do scaled MODIS vegetation indices improve performance? Agricultural and Forest Meteorology, 200, 1–8, dx.doi.org/10.1016/j.agrformet.2014.09.003. 13. Fan, B., Guo, L., Li, N., Chen, J., Lin, H., Zhang, X., Shen, M., Rao, Y., Wang, C., Ma, L., 2014. Earlier vegetation green-up has reduced spring dust storms. Scientific Reports, 4 : 6749, DOI: 10.1038/srep06749. 2 14. Xiao J., Ollinger, S.V., Frolking, S., Hurtt, G.C., Hollinger, D.Y., Davis, K.J., Pan, Y., Zhang, X., Deng, F., Chen, J., Baldocchi, D.D., Law, B.E., Arain, M.A., Desai, A.R., Richardson, A.D., Sun, G., Amiro, B., Margolis, H., Gu, L., Scott, R.L., Blanken, P.S., Suyker, A.E., 2014. Data-driven diagnostics of terrestrial carbon dynamics over North America. Agricultural and Forest Meteorology, 197, 142–157. 15. Zhang, X., Kondragunta, S., and Roy, D.P., 2014. Interannual variation in biomass burning and fire seasonality derived from geostationary satellite data across the contiguous United States from 1995 to 2011. Journal of Geophysical Research-Biogeosciences, DOI: 10.1002/2013JG002518. 16. Zhang, F., Wang, J. Ichoku, C., Hyer, E., Yang, Z., Ge, C., Su, S., Zhang, X., Kondragunta, S., Kaiser, J., Wiedinmyer, C., and da Silva, A., 2014. Sensitivity of mesoscale modeling of smoke direct radiative effect to the emission inventory: A case study in northern sub-Saharan African region. Environmental Research Letters, 9, 075002, doi:10.1088/1748-9326/9/7/075002. 17. Zhang, X., Tan, B., and Yu, Y. 2014. Interannual variation and trends in global land surface phenology derived from enhanced vegetation index during 1982-2010. International Journal of Biometeorology, DOI 10.1007/s00484-014-0802-z. 18. Liang, L., Schwartz, M.D., Wang, Z., Gao, F., Schaaf, C.B., Tan, B., Morisette, J.T., and Zhang, X., 2014. A cross comparison of spatiotemporally enhanced springtime phenological measurements from satellites and ground in a northern U.S. mixed forest. IEEE Transactions On Geoscience And Remote Sensing, DOI10.1109/TGRS.2014.2313558. 19. Shuai, Y., Schaaf, C., Zhang, X., Strahler, A., Roy, D., Morisette, J., Wang, Z., Nightingale, J., Nickeson, J., Richardson, A.D., Xie, D., Wang, J., Li, X., Strabala, K., Davies, J.E., 2013. Daily MODIS 500 m reflectance anisotropy direct broadcast (DB) products for monitoring vegetation phenology dynamics. International Journal of Remote Sensing, 34(16): 5997-6016. 20. Zhang, X., Kondragunta, S., Ram, J., Schmidt, C., Huang,H-C, 2012. Near Real Time Global Biomass Burning Emissions Product from Geostationary Satellite Constellation. Journal of Geophysical Research-Atmosphere, doi:10.1029/2012JD017459. 21. Zhang, X., 2012. Impacts of global climate change on the plant seasonality of our planet. Overseas Scholars, 1:35-45. 22. Zhang, X., Goldberg, M.D., Yu, Y., 2012. Prototype for monitoring and forecasting fall foliage coloration in real time from satellite data. Agricultural and Forest Meteorology, 158: 21-29. 23. Kovalskyy, V., Roy, D. P., Zhang, X., Ju, J., 2012. The suitability of multi-temporal Web-Enabled Landsat Data (WELD) NDVI for phenological monitoring – a comparison with flux tower and MODIS NDVI. Remote Sensing Letters, 3(4): 325–334. 24. Zhang, X. Kondragunta, S., and Quayle, B., 2011. Estimation of biomass burned areas using multiple- satellite-observed active fires. IEEE Transactions on Geosciences and Remote Sensing, 49: 4469- 4482, 10.1109/TGRS.2011.2149535. 25. Zhang, X. and Goldberg, M, 2011. Monitoring Fall Foliage Coloration Dynamics Using Time-Series Satellite Data. Remote Sensing of Environment, 115 (2): 382-391. 26. Yang, E.S., Christopher, S.A., Kondragunta, S., and Zhang, X., 2010. Use of hourly GOES fire emissions in a Community Multiscale Air Quality (CMAQ) model for improving surface particulate matter predictions. Journal of Geophysical Research, 116, D04303, doi:10.1029/2010JD014482. 27. Zhang, X., Goldberg, M., Tarpley, D., Friedl, M., Morisette, J., Kongan, F., Yu, Y., 2010. Drought- induced Vegetation Reduction in Southwestern North America. Environmental Research Letters, 5 (2010) 024008, doi:10.1088/1748-9326/5/2/024008. 3 28. Ganguly, S., Friedl, M.A., Tan, B., Zhang, X., and Verma, M., 2010. Land surface phenology from MODIS: Characterization of the Collection 5 global land cover dynamics product. Remote Sensing of Environment, 114(8), 1805-1816. 29. Christopher, S.A., Gupta, P., Nair, U., Jones, T.A., Kondragunta, S., Wu, Y.L, Hand, J., Zhang, X, 2009. Satellite Remote Sensing and Mesoscale Modeling of the 2007 Georgia/Florida Fires. Journal of Selected Topics in Earth Observations and Remote Sensing, 2:163 – 175, DOI:10.1109/JSTARS.2009.2026626. 30. Zhang, X., Friedl, M.A., Schaaf, C.B., 2009. Sensitivity of vegetation phenology detection to the temporal resolution of satellite data. International Journal of Remote Sensing, 30(8): 2061 – 2074, DOI: 10.1080/01431160802549237. 31. Zhang, X., Kondragunta, S., Schmidt, C., Kogan, F., 2008. Near real-time monitoring of biomass burning particulate emissions (PM2.5) using multiple satellite instruments.