S
Sorin C. Popescu
Researcher at Texas A&M University
Publications - 99
Citations - 7208
Sorin C. Popescu is an academic researcher from Texas A&M University. The author has contributed to research in topics: Lidar & Canopy. The author has an hindex of 32, co-authored 87 publications receiving 5901 citations. Previous affiliations of Sorin C. Popescu include Texas A&M Health Science Center College of Medicine & Politehnica University of Timișoara.
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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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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.
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Seeing the Trees in the Forest: Using Lidar and Multispectral Data Fusion with Local Filtering and Variable Window Size for Estimating Tree Height
TL;DR: In this article, the authors developed robust processing and analysis techniques to facilitate the use of small-footprint lidar data for estimating plot-level tree height by measuring individual trees identifiable on the three-dimensional lidar surface.
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Estimating biomass of individual pine trees using airborne lidar
TL;DR: In this article, a method for assessing aboveground biomass and component biomass for individual trees using airborne lidar data in forest settings typical for loblolly pine stands (Pinus taeda L.) in the southeastern United States was developed.
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An International Comparison of Individual Tree Detection and Extraction Using Airborne Laser Scanning
Harri Kaartinen,Juha Hyyppä,Xiaowei Yu,Mikko Vastaranta,Hannu Hyyppä,Antero Kukko,Markus Holopainen,Christian Heipke,Manuela Hirschmugl,Felix Morsdorf,Erik Næsset,Juho Pitkänen,Sorin C. Popescu,Svein Solberg,Bernd-Michael Wolf,Jee-Cheng Wu +15 more
TL;DR: The accuracy of tree height, after removing gross errors, was better than 0.5 m in all tree height classes with the best methods investigated in this experiment, suggesting minimum curvature-based tree detection accompanied by point cloud-based cluster detection for suppressed trees is a solution that deserves attention in the future.