Abstract: Joint Prediction of Sampled Forest Inventory and LiDAR Data using Linear Models for Coregionalization: An Application to National-Scale Aboveground Biomass Spatial Prediction Exploiting Space-Borne LiDAR (AGU Fall Meeting 2018)

Joint Prediction of Sampled Forest Inventory and LiDAR Data using Linear Models for Coregionalization: An Application to National-Scale Aboveground Biomass Spatial Prediction Exploiting Space-Borne LiDAR

Chad Babcock, Michigan State University, Forestry, East Lansing, MI, United States, Andrew O Finley, Michigan State University, Department of Forestry and Geography, East Lansing, United States, Hans-Erik Andersen, USDA Forest Service Pacific Northwest Research Station, Seattle, WA, United States, Bruce Cook, NASA Goddard Space Flight Center, Biospheric Sciences Laboratory, Greenbelt, United States and Douglas C Morton, NASA Goddard Space Flight Center, Greenbelt, United States

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