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Synthesizing Disparate LiDAR and Satellite Datasets through Deep Learning to Generate Wall-to-Wall Regional Forest Inventories
Elias Ayrey, Daniel J. Hayes, John B. Kilbride, Shawn Fraver, John A. Kershaw Jr., Bruce D. Cook, Aaron R. Weiskittel
doi: https://doi.org/10.1101/580514
Elias Ayrey
aSchool of Forest Resources, University of Maine, 5755 Nutting Hall, Orono, Maine, 04469-5755, USA
Daniel J. Hayes
aSchool of Forest Resources, University of Maine, 5755 Nutting Hall, Orono, Maine, 04469-5755, USA
John B. Kilbride
bCollege of Earth, Ocean, and Atmospheric Sciences, Oregon State University, 114 Wilkinson Hall, Corvallis, OR 97331, USA
Shawn Fraver
aSchool of Forest Resources, University of Maine, 5755 Nutting Hall, Orono, Maine, 04469-5755, USA
John A. Kershaw Jr.
cFaculty of Forestry and Environmental Management, University of New Brunswick, PO Box 4400, 28 Dineen Drive, Fredericton, NB, E3B5A3, Canada
Bruce D. Cook
dNASA Goddard Space Flight Center, Biospheric Sciences Laboratory, Code 618, Greenbelt, MD, 20771, USA
Aaron R. Weiskittel
aSchool of Forest Resources, University of Maine, 5755 Nutting Hall, Orono, Maine, 04469-5755, USA
Article usage
Posted April 23, 2019.
Synthesizing Disparate LiDAR and Satellite Datasets through Deep Learning to Generate Wall-to-Wall Regional Forest Inventories
Elias Ayrey, Daniel J. Hayes, John B. Kilbride, Shawn Fraver, John A. Kershaw Jr., Bruce D. Cook, Aaron R. Weiskittel
bioRxiv 580514; doi: https://doi.org/10.1101/580514
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