Bio
My research focuses on terrestrial carbon cycling and its interactions with climate change and land use using a combination of field measurements, remote sensing, GIS, machine learning, and land surface modeling techniques. The specific research interests include (1) estimation of forest productivity, biomass, and transpiration using process-based models; (2) detection of global fire smoke plumes utilizing deep learning; (3) generation of high spatio-temporal-resolution near-real-time wildfire emissions through fusing observations from polar-orbiting and geostationary satellites; (4) investigation of interactions between peatland fires, human activities, land use/cover change, and climate change; and (5) projection of wildfire carbon emissions at high spatial resolution and assessing risks for the US power systems.
Professional Experience
2024.08-now Postdoctoral Research Associate Oak Ridge National Laboratory, USA
2022.06-2024.05 Postdoctoral Research Associate University of Illinois Urbana-Champaign, USA
2017.08-2022.05 Graduate Research Assistant South Dakota State University, USA
2014.08-2017.06 Graduate Research Assistant Nanjing University, CHINA
Awards
Best PhD Thesis Awards, the Fire Journal (2023)
Distinguished Dissertation Award, SDSU (2022)
Joseph F. Nelson Graduate Award, SDSU (2021-2022)
Professional Service
American Geophysical Union (AGU)
American Association of Geographers (AAG)
International Association of Wildland Fire (IAWF)
International Geoscience and Remote Sensing Symposium (IGARSS)
Other Publications
Lu, X., Zhang, X., Li, F., & Cochrane, M. A. (2022). Improved estimation of fire particulate emissions using a combination of VIIRS and AHI data for Indonesia during 2015–2020. Remote Sensing of Environment, 281, 113238.