气候变化领域集成服务门户(CCPortal): A comparative assessment of the vertical distribution of forest components using full-waveform airborne, discrete airborne and discrete terrestrial laser scanning data

CCPortal

DOI	10.1016/j.foreco.2020.118268
	A comparative assessment of the vertical distribution of forest components using full-waveform airborne, discrete airborne and discrete terrestrial laser scanning data
	Crespo-Peremarch P.; Fournier R.A.; Nguyen V.-T.; van Lier O.R.; Ruiz L.Á.
发表日期	2020
ISSN	0378-1127
卷号	473
英文摘要	Laser scanning has the potential to accurately detect the vertical distribution of forest vegetative components. However, limitations are present and vary according to the system's platform (i.e., terrestrial or airborne) and recording method (i.e., discrete return or full-waveform). Terrestrial configurations detect close objects (i.e., lower vegetation strata) in more detail while airborne configurations detect a more detailed upper strata, with weak backscattered signals from lower strata. Moreover, discrete lidar systems record single or multiple hits from a given pulse at intercepted features in contrast to full-waveform systems, which register the pulse's complete backscattered signal providing complete vertical profiles. In this study, we examine for a boreal and a Mediterranean forest with contrasted conifer canopy densities: (i) the characterization of the vertical distribution and signal occlusion from three laser scanning configurations: full-waveform airborne (ALSFW), discrete airborne (ALSD), and discrete terrestrial (TLS); (ii) the comparison in the detection of understory vegetation by ALSFW and ALSD using TLS as reference; and (iii) the use of a methodological procedure based on the Gini index concept to group understory vegetation in density classes from both ALSFW and ALSD configurations. Our results demonstrate, firstly, that signal occlusion can be quantified by the rate of pulse reduction independently for data from all three laser scanning configurations. The ALSD configuration was the most affected by signal occlusion, leading to weak signal returns at the lower strata (z < 4 m) where the rate of pulse reduction was highest as a result of dense canopy covers. Secondly, we demonstrated the capabilities for both airborne laser scanning configurations to detect understory vegetation, albeit significantly more accurately with ALSFW. Lastly, we demonstrated the use of the Gini index as an indicator to determine understory vegetation density classes, particularly for ALSFW data in dense canopy cover. We proceed to explain the limitations in detecting the vertical distribution from different configurations, and indicate that understory vegetation density classes may be successfully assigned with ALSFW in contrasted conifer canopy densities. © 2020
关键词	Electromagnetic wave backscattering Forestry Laser applications Object detection Scanning Vegetation Airborne Laser scanning Backscattered signal Comparative assessment Mediterranean forest Terrestrial laser scanning Understory vegetation Vertical distributions Vertical profile Surveying instruments airborne survey assessment method boreal forest comparative study coniferous tree laser method lidar satellite data understory vegetation type vertical distribution Data Density Distribution Forestry Plants Reduction Scanning Mediterranean Region Coniferophyta
语种	英语
来源机构	Forest Ecology and Management
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/132713
推荐引用方式 GB/T 7714	Crespo-Peremarch P.,Fournier R.A.,Nguyen V.-T.,et al. A comparative assessment of the vertical distribution of forest components using full-waveform airborne, discrete airborne and discrete terrestrial laser scanning data[J]. Forest Ecology and Management,2020,473.
APA	Crespo-Peremarch P.,Fournier R.A.,Nguyen V.-T.,van Lier O.R.,&Ruiz L.Á..(2020).A comparative assessment of the vertical distribution of forest components using full-waveform airborne, discrete airborne and discrete terrestrial laser scanning data.,473.
MLA	Crespo-Peremarch P.,et al."A comparative assessment of the vertical distribution of forest components using full-waveform airborne, discrete airborne and discrete terrestrial laser scanning data".473(2020).