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the global ecosystem dynamics investigation: high-resolution laser ranging of the earth’s forests and topographyObtaining accurate and widespread measurements of the vertical structure of the Earth’s forests has been a longsought goal for the ecological community. Such observations are critical for accurately assessing the existing biomass of forests, and how changes in this biomass caused by human activities or variations in climate may impact atmospheric CO2 concentrations. Additionally, the three-dimensional structure of forests is a key component of habitat quality and biodiversity at local to regional scales. The Global Ecosystem Dynamics Investigation (GEDI) was launched to the International Space Station in late 2018 to provide high-quality measurements of forest vertical structure in temperate and tropical forests between 51.6 N & S latitude. The GEDI instrument is a geodetic-class laser altimeter/waveform lidar comprised of 3 lasers that produce 8 transects of structural information. Over its two-year nominal lifetime GEDI is anticipated to provide over 10 billion waveforms at a footprint resolution of 25 m. These data will be used to derive a variety of footprint and gridded products, including canopy height, canopy foliar profiles, Leaf Area Index (LAI), sub-canopy topography and biomass. Additionally, data from GEDI are used to demonstrate the efficacy of its measurements for prognostic ecosystem modeling, habit and biodiversity studies, and for fusion using radar and other remote sensing instruments. GEDI science and technology are unique: no other space-based mission has been created that is specifically optimized for retrieving vegetation vertical structure. As such, GEDI promises to advance our understanding of the importance of canopy vertical variations within an ecological paradigm based on structure, composition and function.



Document ID
20200002117
Document Type
Reprint (Version printed in journal)
Authors
Dubayah, Ralph
(Maryland Univ. College Park, MD, United States)
Blair, James Bryan
(NASA Goddard Space Flight Center Greenbelt, MD, United States)
Goetz, Scott
(University of Northern Arizona Flagstaff, AZ, United States)
Fatoyinbo, Lola
(NASA Goddard Space Flight Center Greenbelt, MD, United States)
Hansen, Matthew
(Maryland Univ. College Park, MD, United States)
Healey, Sean
(United States Department of Agriculture (USDA-Headquarters) Washington, DC, United States)
Hofton, Michelle
(Maryland Univ. College Park, MD, United States)
Hurtt, George
(Maryland Univ. College Park, MD, United States)
Kellner, James
(Brown Univ. Providence, RI, United States)
Luthcke, Scott
(NASA Goddard Space Flight Center Greenbelt, MD, United States)
Armston, John
(Maryland Univ. College Park, MD, United States)
Tang, Hao
(Maryland Univ. College Park, MD, United States)
Duncanson, Laura
(Maryland Univ. College Park, MD, United States)
Hancock, Steven
(Maryland Univ. College Park, MD, United States)
Jantz, Patrick
(University of Northern Arizona Flagstaff, AZ, United States)
Marselis, Suzanne
(Maryland Univ. College Park, MD, United States)
Patterson, Paul L.
(United States Department of Agriculture (USDA-Headquarters) Washington, DC, United States)
Qi, Wenlu
(Maryland Univ. College Park, MD, United States)
Silva, Carlos
(Maryland Univ. College Park, MD, United States)
Date Acquired
April 1, 2020
Publication Date
January 27, 2020
Publication Information
Publication: Science of Remote Sensing
Volume: 1
ISSN: 2666-0172
Subject Category
Geosciences (General)
Report/Patent Number
GSFC-E-DAA-TN78854
Funding Number(s)
CONTRACT_GRANT: NNL 15AA03C
Distribution Limits
Public
Copyright
Public Use Permitted.

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