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James R Kellner

Biographic Data

ID8001738
NAMEJames R Kellner
GIVEN NAMESJames R
FAMILY NAMEKellner
SIGNATUREKELLNER J R
AFFILIATIONSBrown University
ORCID0000-0002-9861-4857
VERIFIEDYes
TOTAL WORKS4
TOTAL CITATIONS4
WORKS AS AUTHOR4
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2019
LATEST PUBLICATION YEAR2023
H-INDEX1
  • Impact of leaf phenology on estimates of aboveground biomass density in a deciduous broadleaf forest from simulated Gedi lidar

    Open Access•K C Cushman, John Armston et al.•ARTICLE•Environmental Research Letters•2023

    The Global Ecosystem Dynamics Investigation (GEDI) is a waveform lidar instrument on the International Space Station used to estimate aboveground biomass density (AGBD) in temperate and tropical forests. Algorithms to predict footprint AGBD from GEDI relative height (RH) metrics were developed from simulated waveforms with leaf-on (growing season) conditions. Leaf-off GEDI data with lower canopy cover are expected to have shorter RH metrics, and …

  • Gedi launches a new era of biomass inference from space

    Open Access•Ralph Dubayah, John Armston et al.•ARTICLE•Environmental Research Letters•2022

    Accurate estimation of aboveground forest biomass stocks is required to assess the impacts of land use changes such as deforestation and subsequent regrowth on concentrations of atmospheric CO 2 . The Global Ecosystem Dynamics Investigation (GEDI) is a lidar mission launched by NASA to the International Space Station in 2018. GEDI was specifically designed to retrieve vegetation structure within a novel, theoretical sampling design that explicitl…

  • Lasers Without Lost Cities

    Open Access•Parker Vanvalkenburgh, K C Cushman et al.•ARTICLE•Journal of Field Archaeology•2020•Cited by: 4•References: 49

    We report the results of drone lidar survey at a high-elevation archaeological site in the Chachapoyas region of Peruvian Amazonia. Unlike traditional airborne remote sensing, drone lidar produces very high-density measurements at a wide range of scan angles by operating at low altitudes and slow flight speeds. These measurements can resolve near vertical surfaces and novel dimensions of variability in architectural datasets. We show in a case st…

  • Statistical properties of hybrid estimators proposed for Gedi—Nasa’s global ecosystem dynamics investigation

    Open Access•Paul L Patterson, SEAN P HEALEY et al.•ARTICLE•Environmental Research Letters•2019

    NASA’s Global Ecosystem Dynamics Investigation (GEDI) mission will collect waveform lidar data at a dense sample of ∼25 m footprints along ground tracks paralleling the orbit of the International Space Station (ISS). GEDI’s primary science deliverable will be a 1 km grid of estimated mean aboveground biomass density (Mg ha −1 ), covering the latitudes overflown by ISS (51.6 °S to 51.6 °N). One option for using the sample of waveforms contained wi…

  • Lasers Without Lost Cities

    Open Access•Parker Vanvalkenburgh, K C Cushman et al.•ARTICLE•Journal of Field Archaeology•2020•Cited by: 4•References: 49

    We report the results of drone lidar survey at a high-elevation archaeological site in the Chachapoyas region of Peruvian Amazonia. Unlike traditional airborne remote sensing, drone lidar produces very high-density measurements at a wide range of scan angles by operating at low altitudes and slow flight speeds. These measurements can resolve near vertical surfaces and novel dimensions of variability in architectural datasets. We show in a case st…

  • Statistical properties of hybrid estimators proposed for Gedi—Nasa’s global ecosystem dynamics investigation

    Open Access•Paul L Patterson, SEAN P HEALEY et al.•ARTICLE•Environmental Research Letters•2019

    NASA’s Global Ecosystem Dynamics Investigation (GEDI) mission will collect waveform lidar data at a dense sample of ∼25 m footprints along ground tracks paralleling the orbit of the International Space Station (ISS). GEDI’s primary science deliverable will be a 1 km grid of estimated mean aboveground biomass density (Mg ha −1 ), covering the latitudes overflown by ISS (51.6 °S to 51.6 °N). One option for using the sample of waveforms contained wi…

  • Lasers Without Lost Cities

    Open Access•Parker Vanvalkenburgh, K C Cushman et al.•ARTICLE•Journal of Field Archaeology•2020•Cited by: 4•References: 49

    We report the results of drone lidar survey at a high-elevation archaeological site in the Chachapoyas region of Peruvian Amazonia. Unlike traditional airborne remote sensing, drone lidar produces very high-density measurements at a wide range of scan angles by operating at low altitudes and slow flight speeds. These measurements can resolve near vertical surfaces and novel dimensions of variability in architectural datasets. We show in a case st…

  • Gedi launches a new era of biomass inference from space

    Open Access•Ralph Dubayah, John Armston et al.•ARTICLE•Environmental Research Letters•2022

    Accurate estimation of aboveground forest biomass stocks is required to assess the impacts of land use changes such as deforestation and subsequent regrowth on concentrations of atmospheric CO 2 . The Global Ecosystem Dynamics Investigation (GEDI) is a lidar mission launched by NASA to the International Space Station in 2018. GEDI was specifically designed to retrieve vegetation structure within a novel, theoretical sampling design that explicitl…

  • Impact of leaf phenology on estimates of aboveground biomass density in a deciduous broadleaf forest from simulated Gedi lidar

    Open Access•K C Cushman, John Armston et al.•ARTICLE•Environmental Research Letters•2023

    The Global Ecosystem Dynamics Investigation (GEDI) is a waveform lidar instrument on the International Space Station used to estimate aboveground biomass density (AGBD) in temperate and tropical forests. Algorithms to predict footprint AGBD from GEDI relative height (RH) metrics were developed from simulated waveforms with leaf-on (growing season) conditions. Leaf-off GEDI data with lower canopy cover are expected to have shorter RH metrics, and …

Geography (4 works) · Remote Sensing and LiDAR Applications (4 works) · Environmental Science (3 works) · Lidar (3 works) · Remote sensing (3 works) · Remote Sensing in Agriculture (3 works) · Biomass (ecology (2 works) · Computer Science (2 works) · Ecology (2 works) · Ecosystem (2 works)

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