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Published in 2019 at "American journal of botany"
DOI: 10.1002/ajb2.1228
Abstract: PREMISE OF THE STUDY Thinning is a frequent disturbance in managed forests, especially to increase radial growth. Due to buckling and bending risk associated with height and mass growth, tree verticality is strongly constrained in…
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Keywords:
control;
verticality;
model;
terrestrial lidar ... See more keywords
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Published in 2018 at "Earth Surface Processes and Landforms"
DOI: 10.1002/esp.4403
Abstract: The weathering characteristics of bedrock fault scarps provide relative age constraints that can be used to determine fault displacements. Here, we report Schmidt hammer rebound values (R-values) for a limestone fault scarp that was last…
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Keywords:
fault;
slip;
terrestrial lidar;
schmidt hammer ... See more keywords
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Published in 2018 at "Cold Regions Science and Technology"
DOI: 10.1016/j.coldregions.2018.03.003
Abstract: Abstract In this work we propose a method of estimating the age of calving events of a tidewater glacier based on 3D point clouds. Terrestrial LiDAR scans of the calving front of Fuerza Aerea Glacier…
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Keywords:
tidewater glacier;
reflection intensity;
terrestrial lidar;
intensity ... See more keywords
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Published in 2020 at "Geomorphology"
DOI: 10.1016/j.geomorph.2020.107056
Abstract: Abstract This study provides a systematic comparison of lidar, Multibeam Echo Sounders (MBES), and Structure-from-Motion (SfM) derived datasets collected over a fixed surface contained within a large outdoor flume converted to a 15 × 2.5 × 1.5 m tank. The…
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Keywords:
sfm;
surface;
comparison terrestrial;
terrestrial lidar ... See more keywords
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Published in 2018 at "Remote Sensing of Environment"
DOI: 10.1016/j.rse.2018.02.013
Abstract: Abstract A new method was developed for reconstructing the geometric structure of large plants such as trees at the leaf-scale by utilizing terrestrial LiDAR data. The primary goal of the work was to develop a…
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Keywords:
reconstruction;
plant;
terrestrial lidar;
leaf ... See more keywords
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Published in 2018 at "Remote Sensing of Environment"
DOI: 10.1016/j.rse.2018.02.028
Abstract: Abstract The structural loss rates of standing dead trees (SDTs) affect a variety of processes of interest to ecologists and foresters, yet the decomposition of SDTs has been traditionally characterized by qualitative decay classes, reductions…
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Keywords:
methodology;
loss rates;
structural loss;
terrestrial lidar ... See more keywords
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Published in 2020 at "Remote Sensing of Environment"
DOI: 10.1016/j.rse.2020.111729
Abstract: Abstract Tree mortality from major disturbances can greatly increase dead wood in forested areas, affecting fire intensity and behavior, wildlife habitat, and carbon dynamics. Accurately quantifying regional standing dead tree (SDT) pools, as conducted by…
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Keywords:
terrestrial lidar;
volume;
decay class;
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Published in 2018 at "Carbon Balance and Management"
DOI: 10.1186/s13021-018-0098-0
Abstract: BackgroundUrban trees have long been valued for providing ecosystem services (mitigation of the “heat island” effect, suppression of air pollution, etc.); more recently the potential of urban forests to store significant above ground biomass (AGB)…
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Keywords:
scale lidar;
ground biomass;
terrestrial lidar;
multi scale ... See more keywords