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Funded Research

Combining lidar/radar fusion, allometric scaling theory, and ecosystem modeling for improved estimation of forest biomass, structure and dynamics

Dubayah, Ralph: University of Maryland (Project Lead)
Duncanson, Laura: University of Maryland (Project Lead)

Project Funding: 2011 - 2014

NRA: 2010 NASA: NASA Earth and Space Science Fellowship Program   

Funded by NASA

Abstract not available

Publications:

Duncanson, L. I., Dubayah, R. O., Enquist, B. J. 2015. Assessing the general patterns of forest structure: quantifying tree and forest allometric scaling relationships in the United States. Global Ecology and Biogeography. 24(12), 1465-1475. DOI: 10.1111/geb.12371

Duncanson, L., Rourke, O., Dubayah, R. 2015. Small Sample Sizes Yield Biased Allometric Equations in Temperate Forests. Scientific Reports. 5(1). DOI: 10.1038/srep17153


2015 NASA Carbon Cycle & Ecosystems Joint Science Workshop Poster(s)

  • Integrating Lidar Canopy Height and Landsat-based Forest Disturbance History with Ecosystem Demography Model for Carbon Change Estimation, A Case in Charles County, Maryland   --   (Maosheng Zhao, Chengquan Huang, George Hurtt, Ralph Dubayah, Justin Fisk, Anu Swatantran, Wenli Huang, Hao Tang)   [abstract]

2011 NASA Carbon Cycle & Ecosystems Joint Science Workshop Poster(s)

  • Combining lidar/radar fusion, allometric scaling theory, and ecosystem modeling for improved estimation of forest biomass, structure and dynamics   --   (Laura Duncanson, Ralph Dubayah)   [abstract]
  • Statewide Mapping of Forest Structure and Standing Biomass in North Carolina Using Small Footprint Lidar and Field Plot Data   --   (Chengquan Huang, Yong Pang, Chris Toney, Ralph Dubayah)   [abstract]