Xiaojuan Tian

Address
    Xiaojuan Tian (Ph.D student)
    Shanghai Astronomical Observatory, Chinese Academy of Sciences
    80 Nandan Road, Shanghai 200030, China
    Tel: +86-21-34775291; Fax: +86-21-64384618
    E-mail: xjtian@shao.ac.cn; xiaojuant1989@163.com
    Website: http://center.shao.ac.cn/geodesy/xjtian.html

Education

  • 2015-2018, Ph.D, Geodesy, University of Chinese Academy of Sciences, Beijing, China
  • 2012-2015, M.Sc, Remote Sensing, Central China Normal University, Wuhan, China
  • 2008-2012, B.Sc, Geographical Science, Anshun University, Anshun, China

Employment

  • 2019-Now, Assistant Professor, Hubei University of Science & Technology, Xianning, China

Research Interests

  • Satellite Gravimetry & Remote Sensing
  • Hydrologic Cycle and Climate Change

Journal Papers

  • Tian, X.J., and S.G. Jin (2020), Evapotranspiration variations in the Yangtze River Basin from multi-satellite remote sensing data, J. Water Clim. Change, 11(2), 451-467, doi: 10.2166/wcc.2018.104. (SCI)
  • Tian, X., F. Zou, and S.G. Jin (2019), Impact of climate change and human activities on water storage changes in the Yangtze River Basin, J. Geod. Geodyn., 39(4), 371-376, doi: 10.14075/j.jgg.2019.04.008.
  • Jin, S.G., X. Tian, and G. Feng (2016), Recent glaciers changes in the Tien Shan Mountains observed by satellite gravity measurements, Global Planet. Change, 143, 81-87, doi: 10.1016/j.gloplacha.2016.06.006. (SCI)
  • Tian, L., Q. Zeng, X.J. Tian, J. Li, Z. Wang, and W. Li (2016), Water environment remote sensing atmospheric correction of Geostationary Ocean Color Imager data over turbid coastal waters in the Bohai Sea using artificial neural networks, Current Science, 110(6), 1079-1085. (SCI)
  • Tian, X.J., Q. Zeng, Z. Wang, and X. Sun (2014), Atmospheric correction of GOCI imagery over turbid waters in Bohai Sea based on artificial neural network, J. Hubei Univ. (Natural Sci.), 36(4), 370-374, doi: 10.3969/j.issn.1000-2375.2014.04.017.

Conference Papers

  • Tian, X.J., and S.G. Jin, Recent drought conditions in the Yangtze River Basin observed by satellite gravimetry, 26th International Conference on GeoInformatics (Geoinformatics2018), June 28-30, 2018, Kunming, China, pp. (EI)
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