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The Global Ecosystem Dynamics Investigation: High-resolution laser ranging of the Earth’s forests and topography

Dubayah, Ralph, Blair, James Bryan, Goetz, Scott, Fatoyinbo, Lola, Hansen, Matthew, Healey, Sean, Hofton, Michelle, Hurtt, George, Kellner, James, Luthcke, Scott, Armston, John, Tang, Hao, Duncanson, Laura, Hancock, Steven, Jantz, Patrick, Marselis, Suzanne, Patterson, Paul L., Qi, Wenlu, Silva, Carlos·2020·Science of Remote Sensing

Abstract

Obtaining accurate and widespread measurements of the vertical structure of the Earth’s forests has been a long-sought 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 h…

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  • The main objective of the GEDI mission is to provide high-accuracy and high global coverage data on canopy structure, which can be used to estimate biomass and canopy height.

    “The main objective of the GEDI mission is to provide high-accuracy and high global coverage data on canopy structure, which can be used to estimate biomass [39][40][41] and canopy height [30,38,42].”

    From ANADEM: A Digital Terrain Model for South America (2024) · cites this paper as [38]

  • The GEDI instrument is a full waveform lidar aboard the International Space Station that sampled global regions between 51.6° N and S latitude with a ~25 m beam footprint at ground surface.

    “The GEDI instrument is a full waveform lidar instrument aboard the International Space Station which has sampled global regions between 51.6 • N & S latitude with a ∼25m beam footprint at ground surface.”
  • By design, GEDI's collected samples sparsely cover the surface of the Earth, which restricts the resolution of gridded mission products to 1 km cells.

    “By design, the collected samples sparsely cover the surface of the Earth, which restricts the resolution of gridded mission products to 1 km cells12.”

    From A high-resolution canopy height model of the Earth (2023) · cites this paper as [12]

  • Sparse supervision means that the model never explicitly sees high-frequency variations of the canopy height between adjacent pixels, and misalignments caused by the geolocation uncertainty (15-20 m) of the GEDI version 1 data introduce further noise.

    “the sparse supervision means that the model never explicitly sees high-frequency variations of the canopy height between adjacent pixels, and misalignments caused by the geolocation uncertainty (15–20 m) of the GEDI version 1 data12,40,41 introduce further noise.”

    From A high-resolution canopy height model of the Earth (2023) · cites this paper as [12]

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Metadata

Authors
Dubayah, R., Blair, J. B., Goetz, S., Fatoyinbo, L., Hansen, M., Healey, S., Hofton, M., Hurtt, G., Kellner, J., Luthcke, S., Armston, J., Tang, H., Duncanson, L., Hancock, S., Jantz, P., Marselis, S., Patterson, P. L., Qi, W., & Silva, C.
Venue
Science of Remote Sensing
Publisher
Elsevier BV
Published
2020-06
Volume
1
Pages
100002
ISSN
2666-0172
Cited by
1,042
References
6
Language
en
Update notices
erratum (2022-06-01)
Funders
NASA

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