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
CV:
Haijun Li - CV - 2023.11.pdf171.27 KB
Degrees
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Degree TypeMSDegree DetailsCartography and Geography Information System, Wuhan University, 2017
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Degree TypeBSDegree DetailsGeographic Information System, Wuhan University, 2014
Conferences
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AAG Annual Meeting, Honolulu, HI. Decadal Global Wind Speed Trends Detected with ERA5 Reanalysis Data
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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
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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
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NASA Carbon Cycle & Ecosystems Joint Science Workshop, College Park, MD
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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
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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
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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
Department of Geographical Sciences
Email
haijunli [at] umd.edu