Xiaojing Tang image


Assistant Professor, Geography
Contact Info

  • Ph.D. in Geography, Boston University
  • M.A. in Environmental Remote Sensing and GIS, Boston University
  • B.E. in Geographic Information System, Tongji University

I am a geographer who uses remote sensing and spatial analysis to study the changes to the Earth’s surface with a focus on monitoring land use/land cover change and its impact on terrestrial carbon cycle and forest ecosystems. I am specifically interested in developing new methods for monitoring changes at regional to global scales using time series analysis and multi-sensor data fusion, and the use of spatiotemporal modeling to reduce the uncertainties in estimates of carbon emissions. I am also exploring new research ideas on the social and economic impact of human-driven changes to the Earth’s surface and how that affects sustainability. My research takes advantage of the abundance of freely available high-quality remote sensing data and the advancement in cloud computing capacity.

Scholarly Interest/Research Topics
  • Remote Sensing
  • GIS
  • Data Fusion
  • Time Series Analysis
  • Terrestrial Carbon Cycle
  • Land Use/Land Cover Change
  • Geospatial Intelligence
Courses Taught
  • ISAT 449: Emerging Topics in Data Science
  • GEOG 485: Processing Remotely Sensed Data
Selected Publications
  • Zhang, Y., Woodcock, C.E., Arévalo, P., Olofsson, P., Tang, X., Stanimirova R., Bullock, E.L., Tarrio, K.R., Zhu, Z, & Friedl, M.A. (2022). A global analysis of the spatial and temporal variability of usable Landsat observations at the pixel scale. Frontiers in Remote Sensing, 3, 894618.
  • Bullock, E.L., Healey, S., Yang, Z., Gorelick, N., Houborg, R., Tang, X., & Andrianirina, C. (2022). Timeliness in Forest Change Monitoring: A Conceptual Demonstration using Sentinel-1 and Continuous Change Detection and Classification (CCDC). Remote Sensing of Environment, 276, 113043.
  • Morreale, L.L., Thompson, J.R., Tang, X., Reinmann, A.B., & Hutyra, L.R. (2021). Elevated growth and biomass along temperate forest edges. Nature Communications, 12(1), 1-8.
  • Tang, X., Woodcock, C.E., Olofsson, P., & Hutyra, L.R. (2021) Spatiotemporal assessment of land use/land cover change and associated carbon emissions and uptake in the Mekong River Basin. Remote Sensing of Environment, 256, 112336.
  • Tang, X., Bullock, E.L., Olofsson, P., & Woodcock, C.E. (2020). Can VIIRS continue the legacy of MODIS for near real-time monitoring of tropical forest disturbance?. Remote Sensing of Environment, 249, 112024.
  • Tang, X., Hutyra, L.R., Arévalo, P., Baccini, A., Woodcock, C.E., & Olofsson, P. (2020). Spatiotemporal tracking of carbon emissions and uptake using time series analysis of Landsat data: a spatially explicit carbon bookkeeping model. Science of the Total Environment, 720, 137409.
  • Tarrio, K., Tang, X., Masek, J.G., Claverie, M., Ju, J., Zhu, Z., & Woodcock, C.E. (2020). Comparison of cloud detection algorithms for Sentinel-2 imagery. Science of Remote Sensing, 2, 100010.
  • Tang, X., Bullock, E.L., Olofsson, P., Estel, S., & Woodcock, C.E. (2019). Near real-time monitoring of tropical forest disturbance: New algorithms and assessment framework. Remote Sensing of Environment, 224, 202-218.
Current Projects
  • Continued support for estimation and monitoring of land change and forest degradation in West Africa (Institutional PI); NASA SERVIR.
  • MUTATED – Modeling and understanding using temporal analysis of transient earth data (Institutional PI); IARPA Space-Based Machine Automated Recognition Technique (SMART) Program.
  • Near-real-time monitoring of tropical forest disturbance by fusion of Landsat, Sentinel-1, and Sentinel-2 data (Co-I); The GEO-Microsoft Planetary Computer Programme.

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