Beichen Zhang

Beichen Zhang

  • Contact Information
  • My Story
  • Publications
  • Background

Contact Information

DegreeDoctorate of Philosophy in Natural Resource Sciences with a specialization in Climate Assessment and Impacts
Address243b North Hardin Hall
3310 Holdrege Street
Lincoln NE
68583–0962
Advisor(s)Tsegaye Tadesse
Mike Hayes

 

Contact Preference

email

My Story

Beichen is a Ph.D. candidate in Natural Resource Science specializing in Climate Assessment and Impacts at the University of Nebraska–Lincoln. His research is focused on building and analyzing geospatial, statistical, machine-learning, and deep-learning models to assess and predict complex drought impacts on ecosystems and various socio-economic sectors. His broader interests include investigating climate change's effects on natural disasters.

Beichen worked as a Graduate Research Assistant for the NDMC in his master's program. He worked on several projects, including processing and managing satellite remote sensing data sets, building combined drought impacts models, and analyzing drought impacts on the forest. During his master's, Beichen developed a study to investigate the relationships between GRACE-based groundwater and soil water storage and forest water stress using regression models and chronological tree-ring data, which suggests that employing GRACE data would help monitor and assess forest drought.

Beichen holds a bachelor's degree from Northwest A&F University in China in Geographic Information Science and a master's degree from the University of Nebraska-Lincoln in Natural Resource Science.

Selected Publications

Zhang, B., Schilder, F., Smith, K., Harms, S., Tadesse, T., Hayes, M. J. (2021). TweetDrought: A Deep-Learning Drought Impacts Recognizer based on Twitter Data. International Conference on Machine Learning (ICML) 2021.Online
Tadesse, T., Hollinger, D. Y., Bayissa, Y. A., Svoboda, M., Fuchs, B., Zhang, B., Demisse, G., Wardlow, B., Bohrer, G., Clark, K., Desai, A., Gu, L., Noormets, A., Novick, K., Richardson, A. (2020). Forest Drought Response Index (ForDRI): A New Combined Model to Monitor Forest Drought in the Eastern United States. Advances in Remote Sensing for Global Forest Monitoring. https://www.mdpi.com/2072-4292/12/21/3605Online

Background

Education

DegreeMajorInstitutionYear Awarded
Master of ScienceNatural Resource ScienceUniversity of Nebraska-Lincoln2019
Bachelor of ScienceGeographic Information ScienceNorthwest A&F University, China