Antoine Baggett Faculty Specialist baggett@umd.edu Antoine received a Bachelor of Arts in English & History from the University of Kansas in 2019. Following brief stints as an EFL teacher and AmeriCorps VISTA in Baltimore, Maryland, he joined the team at GLAD in 2021 to commence work on global validation of annual forest loss. Projects: Researcher Global Land Disturbance mapping for JPL OPERA (Observational Products for End-Users from Remote Sensing Analysis) Multi-resolution quantification and driver assessment of hot spots of global forest disturbance 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. Potapov, P., Hansen, M.C., Pickens, A., Hernandez-Serna, A., Tyukavina, A., Turubanova, S., Zalles, V., Li, X., Khan, A., Stolle, F., Harris, N., Song, X-P, Baggett, A., Kommareddy, I., Kommareddy, A. (2022) The global 2000-2020 land cover and land use change dataset derived from the Landsat archive: first results. Frontiers in Remote Sensing