Name:Jian Bi

Title: Associate Professor 

Gender:male

University one is graduated from:Boston University

Education:Graduate

Academic degree:PhD

On-the-job information:Incumbency

Unit:Remote Sensing and GIS

Initiation time:

Office location:Guanyun Building

Mail box:bijian@lzu.edu.cn

Education

2015	PhD in Geography, with a focus on remote sensing
                Department of Earth and Environment, Boston University, Boston, MA, USA 

2011	MS in Cartography and Geographic Information System
                School of Geography, Beijing Normal University, Beijing, China 

2006	BS in Geographic Information System
                School of Earth and Environmental Sciences, Lanzhou University, Lanzhou, China 

Research Interests

Remote Sensing of Vegetation, Climate Change

Appointments

2018-Now      Associate Professor, College of Earth and Environmental Sciences, Lanzhou University, China

2016-2018	Postdoctoral scholar at NASA Ames Research Center, Moffett Field, CA

2015-2016	Postdoctoral scholar at the Geosciences Research Division, Scripps Institution of Oceanography, La Jolla, CA

Courses

Principles of Geographic Information Systems

Professional Activities

Reviewer of the journals: Remote Sensing, Journal of Geophysical Research: Biogeosciences, Agricultural and Forest Meteorology, Remote Sensing of Environment, IEEE Transactions on Geoscience and Remote Sensing, Earth System Dynamics Discussions, Journal of Applied Remote Sensing, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Water, Climate, IEEE Geoscience and Remote Sensing Letters.

Achievement Summary


							

Honors and Awards

NASA Postdoctoral Program fellowship

In-progress Projects


							

Publications


							

Books Edited

Yang, T., Han, B., He, X., Ye, Z., Tang, Y., Lin, J., Cui, X., & Bi, J. (2024). Diagnosis of the accuracy of land cover classification using bootstrap resampling. International Journal of Remote Sensing, 45(12), 3897–3912. https://doi.org/10.1080/01431161.2024.2358546
Gao, Y., Yang, T., Ye, Z., Lin, J., Yan, K., & Bi, J. (2023). Global vegetation greenness interannual variability and its evolvement in recent decades. Environmental Research Communications. https://doi.org/10.1088/2515-7620/acd74d
Wang, H., Liu, H., Huang, N., Bi, J., Ma, X., Ma, Z., Shangguan, Z., Zhao, H., Feng, Q., Liang, T., Cao, G., Schmid, B., & He, J. (2021). Satellite-derived NDVI underestimates the advancement of alpine vegetation growth over the past three decades. Ecology, 102(12), e03518. https://doi.org/10.1002/ecy.3518
Wu, Z., Bi, J., & Gao, Y. (2021). Drivers and Environmental Impacts of Vegetation Greening in a Semi-Arid Region of Northwest China since 2000. Remote Sensing, 13(21), 4246. https://doi.org/10.3390/rs13214246
Keeling, R. F., Graven, H. D., Welp, L. R., Resplandy, L., Bi, J., Piper, S. C., Sun, Y., Bollenbacher, A., & Meijer, H. A. J. (2017). Atmospheric evidence for a global secular increase in carbon isotopic discrimination of land photosynthesis. Proceedings of the National Academy of Sciences, 114(39), 10361–10366. https://doi.org/10.1073/pnas.1619240114
Ukkola, A. M., Prentice, I. C., Keenan, T. F., Dijk, A. I. J. M. van, Viney, N. R., Myneni, R. B., & Bi, J. (2016). Reduced streamflow in water-stressed climates consistent with CO2 effects on vegetation. Nature Climate Change, 6(1), 75–78. https://doi.org/10.1038/nclimate2831
Bi, J., Myneni, R., Lyapustin, A., Wang, Y., Park, T., Chi, C., Yan, K., & Knyazikhin, Y. (2016). Amazon Forests’ Response to Droughts: A Perspective from the MAIAC Product. Remote Sensing, 8(4), 356. https://doi.org/10.3390/rs8040356
Welp, L. R., Patra, P. K., Rödenbeck, C., Nemani, R., Bi, J., Piper, S. C., & Keeling, R. F. (2016). Increasing summer net CO2 uptake in high northern ecosystems inferred from atmospheric inversions and comparisons to remote-sensing NDVI. Atmospheric Chemistry and Physics, 16(14), 9047–9066. https://doi.org/10.5194/acp-16-9047-2016
Bi, J., Knyazikhin, Y., Choi, S., Park, T., Barichivich, J., Ciais, P., Fu, R., Ganguly, S., Hall, F., Hilker, T., Huete, A., Jones, M., Kimball, J., Lyapustin, A. I., Mõttus, M., Nemani, R. R., Piao, S., Poulter, B., Saleska, S. R., … Myneni, R. B. (2015). Sunlight mediated seasonality in canopy structure and photosynthetic activity of Amazonian rainforests. Environmental Research Letters, 10(6), 064014. https://doi.org/10.1088/1748-9326/10/6/064014
Hilker, T., Lyapustin, A. I., Tucker, C. J., Hall, F. G., Myneni, R. B., Wang, Y., Bi, J., Moura, Y. M. de, & Sellers, P. J. (2014). Vegetation dynamics and rainfall sensitivity of the Amazon. Proceedings of the National Academy of Sciences, 111(45), 16041–16046. https://doi.org/10.1073/pnas.1404870111
Poulter, B., Frank, D., Ciais, P., Myneni, R. B., Andela, N., Bi, J., Broquet, G., Canadell, J. G., Chevallier, F., Liu, Y. Y., Running, S. W., Sitch, S., & Werf, G. R. van der. (2014). Contribution of semi-arid ecosystems to interannual variability of the global carbon cycle. Nature, 509(7502), 600–603. https://doi.org/10.1038/nature13376
Zhu, Z., Bi, J., Pan, Y., Ganguly, S., Anav, A., Xu, L., Samanta, A., Piao, S., Nemani, R. R., & Myneni, R. B. (2013). Global Data Sets of Vegetation Leaf Area Index (LAI)3g and Fraction of Photosynthetically Active Radiation (FPAR)3g Derived from Global Inventory Modeling and Mapping Studies (GIMMS) Normalized Difference Vegetation Index (NDVI3g) for the Period 1981 to 2011. Remote Sensing, 5(2), 927–948. https://doi.org/10.3390/rs5020927
Bi, J., Xu, L., Samanta, A., Zhu, Z., & Myneni, R. (2013). Divergent Arctic-Boreal Vegetation Changes between North America and Eurasia over the Past 30 Years. Remote Sensing, 5(5), 2093–2112. https://doi.org/10.3390/rs5052093
Xu, L., Myneni, R. B., III, F. S. C., Callaghan, T. V., Pinzon, J. E., Tucker, C. J., Zhu, Z., Bi, J., Ciais, P., Tømmervik, H., Euskirchen, E. S., Forbes, B. C., Piao, S. L., Anderson, B. T., Ganguly, S., Nemani, R. R., Goetz, S. J., Beck, P. S. A., Bunn, A. G., … Stroeve, J. C. (2013). Temperature and vegetation seasonality diminishment over northern lands. Nature Climate Change, 3(6), 581–586. https://doi.org/10.1038/nclimate1836