Xinyuan Li Graduate Student lxy95@terpmail.umd.edu I earned my B.S. degree in Geographical Information Sciences from China in 2017. Then I received my M.A. degree at Boston University majoring in Environmental Remote Sensing and Geographical Information Systems. During my graduate study, I helped quantify and analyze the forest disturbance in the Arctic boreal forest ecosystems through long-term satellite data, and I am also interested in studying the deforestation in Brazilian Amazon. Currently, my research focus is to characterize the forest & crop dynamics through various remote sensing datasets. Projects: Graduate Researcher Global Ecosystem Dynamics Investigation Lidar (GEDI) Publications: Turubanova, S., Potapov, P., Hansen, M. C., Li, X., Tyukavina, A., Pickens, A. H., Hernandez-Serna, ... & Stolle, F. (2023). Tree canopy extent and height change in Europe, 2001–2021, quantified using Landsat data archive. Remote Sensing of Environment, 298, 113797. 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 Potapov, P., Li, X., Hernandez-Serna, A., Tyukavina, A., Hansen, M., Kommareddy, A., Pickens, A., Turubanova, A., Tang, H., Silva, C.E., Armston, J., Dubayah, R., Blair, J.B., Hofton, M. (2020) Mapping global forest canopy height through integration of GEDI and Landsat data. Remote Sensing of Environment, 112165.