R
Ross Nelson
Researcher at Goddard Space Flight Center
Publications - 102
Citations - 8752
Ross Nelson is an academic researcher from Goddard Space Flight Center. The author has contributed to research in topics: Lidar & Forest inventory. The author has an hindex of 47, co-authored 102 publications receiving 7759 citations.
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Journal ArticleDOI
Measuring individual tree crown diameter with lidar and assessing its influence on estimating forest volume and biomass
TL;DR: In this paper, the authors developed reliable processing and analysis techniques to facilitate the use of small-footprint lidar data for estimating tree crown diameter by measuring individual trees identifiable on the three-dimensional lidar surface.
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Lidar sampling for large-area forest characterization: A review
Michael A. Wulder,Joanne C. White,Ross Nelson,Erik Næsset,Hans Ole Ørka,Nicholas C. Coops,Thomas Hilker,Christopher W. Bater,Terje Gobakken +8 more
TL;DR: In this article, the authors present the case for using Lidar sampling as a means to enable timely and robust large-area characterizations, and discuss the potential of using lidar in an integrated sampling framework for large area ecosystem characterization and monitoring.
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The Ice, Cloud, and land Elevation Satellite-2 (ICESat-2): Science requirements, concept, and implementation
Thorsten Markus,Thomas Neumann,Anthony J. Martino,Waleed Abdalati,Kelly M. Brunt,Beata Csatho,Sinead L. Farrell,Helen A. Fricker,Alex S. Gardner,David J. Harding,Michael F. Jasinski,Ron Kwok,Lori A. Magruder,Dan Lubin,Scott B. Luthcke,James H. Morison,Ross Nelson,Amy L. Neuenschwander,Stephen P. Palm,Sorin C. Popescu,C. K. Shum,Bob E. Schutz,Benjamin Smith,Yuekui Yang,Yuekui Yang,Jay Zwally +25 more
TL;DR: The ICESat-2 mission is a follow-on to the ICES-1 mission with three pairs of beams, each pair separated by about 3 km cross-track with a pair spacing of 90 m as discussed by the authors.
Journal ArticleDOI
Estimating forest biomass and volume using airborne laser data
TL;DR: In this paper, an airborne pulsed laser system was used to obtain canopy height data over a southern pine forest in Georgia in order to predict ground-measured forest biomass and timber volume.
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Estimating plot-level tree heights with lidar: local filtering with a canopy-height based variable window size
TL;DR: In this paper, the authors developed and tested algorithms to estimate plot level tree height using LIDAR data, and investigated how ground measurements can help in the processing phase of lidar data for tree height assessment.