scholarly journals Categorizing Grassland Vegetation with Full-Waveform Airborne Laser Scanning: A Feasibility Study for Detecting Natura 2000 Habitat Types

2014 ◽  
Vol 6 (9) ◽  
pp. 8056-8087 ◽  
Author(s):  
András Zlinszky ◽  
Anke Schroiff ◽  
Adam Kania ◽  
Balázs Deák ◽  
Werner Mücke ◽  
...  
Keyword(s):  
Feasibility Study ◽  
Laser Scanning ◽  
Natura 2000 ◽  
Airborne Laser Scanning ◽  
Habitat Types ◽  
Grassland Vegetation ◽  
Full Waveform ◽  
Airborne Laser

Archaeological prospection of forested areas using full-waveform airborne laser scanning

2008 ◽  
Vol 35 (4) ◽  
pp. 882-893 ◽  
Author(s):  
Michael Doneus ◽  
Christian Briese ◽  
Martin Fera ◽  
Martin Janner
Keyword(s):  
Laser Scanning ◽  
Airborne Laser Scanning ◽  
Archaeological Prospection ◽  
Full Waveform ◽  
Airborne Laser ◽  
Forested Areas

scholarly journals Processing and analysis of airborne full-waveform laser scanning data for the characterization of forest structure and fuel properties

2020 ◽  
pp. 95
Author(s):  
P. Crespo-Peremarch ◽  
L. A. Ruiz
Keyword(s):  
Forest Structure ◽  
Laser Scanning ◽  
Software Tool ◽  
Understory Vegetation ◽  
Airborne Laser Scanning ◽  
Vegetation Density ◽  
Regression Methods ◽  
Full Waveform ◽  
Airborne Laser ◽  
Pulse Density

<p class="Bodytext">This PhD thesis addresses the development of full-waveform airborne laser scanning (ALS<sub>FW</sub>) processing and analysis methods to characterize the vertical forest structure, in particular the understory vegetation. In this sense, the influence of several factors such as pulse density, voxel parameters (voxel size and assignation value), scan angle at acquisition, radiometric correction and regression methods is analyzed on the extraction of ALS<sub>FW</sub> metric values and on the estimate of forest attributes. Additionally, a new software tool to process ALS<sub>FW</sub> data is presented, which includes new metrics related to understory vegetation. On the other hand, occlusion caused by vegetation in the ALS<sub>FW</sub>, discrete airborne laser scanning (ALS<sub>D</sub>) and terrestrial laser scanning (TLS) signal is characterized along the vertical structure. Finally, understory vegetation density is detected and determined by ALS<sub>FW</sub> data, as well as characterized by using the new proposed metrics.</p>

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