I am a remote sensing scientist interested in mapping and understanding forest 3D structure. Earth's forests are incredibly diverse, both in species, function and structure, and and I am interested in how forests occupy space, and how that links to carbon stocks and cycles. My research questions range from applied questions of algorithm development for forest biomass mapping, and ecology questions about the structural diversity of forests at a global scale. 

Areas of Interest

  • Lidar remote sensing, data fusion, forest biomass, forest degradation.

Degrees

  • Degree Type
    PhD
    Degree Details
    University of Maryland, College Park
  • Degree Type
    MSc
    Degree Details
    University of Victoria
  • Degree Type
    BSc, Hon
    Degree Details
    Queen's University

I use novel remote sensing technologies and methods to further our understanding of forest carbon stock and flux, their drivers and spatio-temporal dynamics. I have worked primarily with LiDAR remote sensing, although also have experience with Landsat, Landsat disturbance products, MODIS, and high-resolution optical datasets. I focus on developing and applying techniques that are non-site specific or ecosystem-specific, and am currently engaged on the GEDI science team to help lead the development of empirical biomass equations for GEDI. I also serve on NASA’s Carbon Monitoring System’s Science team and as a co-lead of CEOS’s Land Product Validation Biomass sub-group to work toward a consistent international protocol for global biomass product calibration and validation.

Current Students

Former Students

Related Students (Listed by Student on Student's Profile)

  • Tuo (Tony) Feng
  • Mengyu (Amber) Liang
  • Katherine Melocik
Photo
1151 Lefrak Hall
Department of Geographical Sciences
Email
lduncans [at] umd.edu