Huang, Chengquan

Bio

Chengquan Huang has devoted a decade in studies of land cover and vegetation dynamics using remotely sensed data. He has been engaged in several projects that were national to continental in scale, including the USGS Multi-Resolution Land Characteristics (MRLC) 2001 project, the joint USGS-US Forest Service LANDFIRE project, the NASA LEDAPS project, and the NASA North American Forest Dynamics project. Currently he is leading efforts to quantify forest change at national to global scales using Landsat data, and is developing approaches for mapping forest structure and biomass change by integrating field inventory data, airborne or space borne lidar, and Landsat derived forest disturbance history.

Degrees

  • Geology, Peking University - BS

  • Environmental Sciences, Peking University - MS

  • Geography, University of Maryland - PhD

Areas of Interest

  • Land cover and land use change
  • Vegetation structure and dynamics
  • Disturbance, habitat, and carbon

Research Topics

  • Carbon, Vegetation Dynamics and Landscape-Scale Processes
  • Geospatial Information Science and Remote Sensing
  • Land Cover - Land Use Change

                        
  • Gong, W., Huang, C., Houghton, R.A., Nassikas, A., Zhao, F., Tao, X., Lu, J., & Schleeweis, K. (2022). Carbon fluxes from contemporary forest disturbances in North Carolina evaluated using a grid-based carbon accounting model and fine resolution remote sensing products. Science of Remote Sensing, Vol. 5. DOI: 10.1016/j.srs.2022.100042

  • Lu, J., Huang, C., Tao, X., Gong, W., & Schleeweis, K. (2022). Annual forest disturbance intensity mapped using Landsat time series and field inventory data for the conterminous United States (1986–2015). Remote Sensing of Environment, 275, 113003.

  • Song, X.P., Huang, C., Saatchi, S.S., Hansen, M.C. & Townshend, J.R. (2015) Annual carbon emissions from deforestation in the Amazon basin between 2000 and 2010, PLOS ONE, 10, e0126754

  • Huang, C., Davis, L.S. & Townshend, J.R.G. (2002). An assessment of support vector machines for land cover classification. International Journal of Remote Sensing, 23, 725-749.

  • Li, A., Huang, C., Sun, G., Shi, H., Toney, C., Zhu, Z., Rollins, M.G., Goward, S.N. & Masek, J.G. (2011). Modeling the growth of young forests regenerating from recent disturbances in Mississippi using Landsat time series observations and ICESat/GLAS lid

  • Huang, C., Goward, S.N., Masek, J.G., Thomas, N., Zhu, Z. & Vogelmann, J.E. (2010). An automated approach for reconstructing recent forest disturbance history using dense Landsat time series stacks. Remote Sensing of Environment, 114, 183-198.

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