Areas of Interest

  • Large-scale high-resolution crop type mapping with machine learning
  • Satellite monitoring on agriculture sustainability
  • High-performance computing for Analysis Ready Data (ARD) from satellite imagery

Degrees

  • Degree Type
    MS
    Degree Details
    Cartography and Geography Information System, Wuhan University, 2017
  • Degree Type
    BS
    Degree Details
    Geographic Information System, Wuhan University, 2014

Conferences

  • AAG Annual Meeting, Honolulu, HI. Decadal Global Wind Speed Trends Detected with ERA5 Reanalysis Data
  • AGU Fall Meeting, San Francisco, CA. 10-m Crop Mapping Using Satellite Data, Field Survey and Machine Learning over North America. Abstracts GC53H-0902. Available at https://agu.confex.com/agu/fm23/meetingapp.cgi/Paper/1305161
  • 2023 International Conference on Aeolian Research, Las Cruces, NM. Decadal Changes in Relative Aeolian Transport Potential in Major Global Dust Source Regions. Available at: https://www.icarxi.com/wp-content/uploads/wpforms/646-1ec3a9bb46b05e84dc2bf268699
  • NASA Carbon Cycle & Ecosystems Joint Science Workshop, College Park, MD
  • AAG Annual Meeting, Denver, CO. Testing Global Stilling with ERA5 Reanalysis Data. Available at https://aag.secure-platform.com/aag2023/organizations/main/gallery/rounds/54/details/38822
  • AGU Fall Meeting, Chicago, IL. Development of a 10 m Resolution Maize and Soybean Map Over China. Abstracts GC23A-03. Available at https://agu.confex.com/agu/fm22/meetingapp.cgi/Paper/1079673
  • AGU Fall Meeting, Chicago, IL. Crop Type and Yield Mapping Using Long-term Satellite Observations, Weather and Field Data. Abstracts B43B-01. Available at https://agu.confex.com/agu/fm22/meetingapp.cgi/Paper/1117218
Haijun Li
4600 River Road, Suite 358
Department of Geographical Sciences
Email
haijunli [at] umd.edu