Haijun Li Graduate Student haijunli@umd.edu Haijun received a B.S. in Geographic Information System in 2014 and a M.S. in Cartography and Geography Information System in 2017, from Wuhan University. He worked for three years as a senior software engineer in NetEase, Inc. in China. After studying for two years in the Geosciences Doctoral program at Texas Tech University, he joined the GLAD in 2022 as a Ph.D. student. His research interests include large-scale high-resolution crop type mapping, satellite monitoring on agriculture sustainability, and high-performance computing for Analysis Ready Data (ARD) from satellite imagery. Projects: Graduate Researcher Global Land Cover and Land Use Monitoring in Support of Environmental Sustainability Projects: Researcher Mapping Crops at 10-m Resolution in the United States Publications: Li, H., Song, X.-P., Adusei, B., Pickering, J., Lima, A., Poulson, A., Baggett, A., Potapov, P., Khan, A., Zalles, V., Hernandez-Serna, A., Jantz, S. M., Pickens, A. H., Ortiz-Dominguez, C., Li, X., Kerr, T., Song, Z., Turubanova, S., Bongwele, E., Kondjo, H. K., Komarova, A., Stehman, S. V., and Hansen, M. C.: An Accurate 10 m Annual Crop Map Product of Maize and Soybean Across the United States, Earth Syst. Sci. Data Discuss. [preprint], https://doi.org/10.5194/essd-2025-361, in review, 2025. Li, H., Song, X. P., Hansen, M. C., Becker-Reshef, I., Adusei, B., Pickering, J., Wang, L., Wang, L., Lin, Z., Zalles, V., Potapov, P., Stehman, S.V., & Justice, C. (2023). Development of a 10-m resolution maize and soybean map over China: Matching satellite-based crop classification with sample-based area estimation. Remote Sensing of Environment, 294, 113623.