Xiao-Peng Song Assistant Professor xpsong@umd.edu Dr. Xiaopeng Song is an Assistant Professor in the Department of Geographical Sciences. His current research focuses on understanding the trends, drivers and impacts of global land-use change using satellite remote sensing and geospatial techniques. His work has broad implications for issues such as food and energy security, and climate change. Dr. Song has published in a number of leading academic journals including Nature, Nature Climate Change, Nature Food, Nature Sustainability, PNAS, Remote Sensing of Environment and Science Advances. His current research is funded by NASA, USGS and World Resources Institute. He received his PhD from UMD in 2015 and worked at UMD until 2019. He re-joined the UMD faculty in 2022 after teaching for three years at Texas Tech University. Dr. Song publishes under the name Xiao-Peng Song. More details at: https://geog.umd.edu/facultyprofile/song/xiaopeng Projects: Principal Investigator Soybean Expansion in South America: Quantifying Historical Land-Use Change, Modeling Socioeconomic Drivers and Projecting Future Trajectories Energy LCLUC hotspot: Characterizing the dynamics of energy land use and assessing environmental impacts in the Permian Basin Projects: CO Investigator Global Land Cover and Land Use Monitoring in Support of Environmental Sustainability Generating time-series maps that accurately reflect land change area: A strategy for global land monitoring Projects: Researcher Commodity Crop Mapping and Monitoring in South America Integrating Landsat 7, 8 and Sentinel 2 data in improving crop type identification and area estimation Quantifying Spatio-Temporal Trends in the Expansion of South American Agriculture, 1985 to Present Evaluating Landsat And Rapid Eye Data for Winter Wheat Mapping And Area Estimation, Soy Yield Field To National Vegetation Continous Fields ESDR for the AVHRR and MODIS Records: 1981- Present Publications: Townshend, J.R., Masek, J.M., Huang, C., Vermote, E., Gao, F., Channan, S., Sexton, J.O., Feng, M., Narasimhan, R., Kim, D., Song, K., Song, D., Song, X.-P., Noojipady, P., Tan, B., Hansen, M.C., Li, M., and Wolfe, R.E. (2012) Global characterization and monitoring of forest cover using Landsat data: opportunities and challenges, International Journal of Digital Earth. Pagination « First page Prev Previous page … 9 10 11