scholarly journals Forest structure indicators based on tree size inequality and their relationships to airborne laser scanning

2015 ◽  
Vol 2015 (205) ◽  
Author(s):  
Rubén Valbuena
Keyword(s):  
Forest Structure ◽  
Laser Scanning ◽  
Airborne Laser Scanning ◽  
Tree Size ◽  
Airborne Laser ◽  
Size Inequality

Patterns of covariance between airborne laser scanning metrics and Lorenz curve descriptors of tree size inequality

2013 ◽  
Vol 39 (sup1) ◽  
pp. S18-S31 ◽  
Author(s):  
Rubén Valbuena ◽  
Matti Maltamo ◽  
Susana Martín-Fernández ◽  
Petteri Packalen ◽  
Cristina Pascual ◽  
...  
Keyword(s):  
Lorenz Curve ◽  
Laser Scanning ◽  
Airborne Laser Scanning ◽  
Tree Size ◽  
Airborne Laser ◽  
Size Inequality

scholarly journals A simple approach to forest structure classification using airborne laser scanning that can be adopted across bioregions

2019 ◽  
Vol 433 ◽  
pp. 111-121 ◽  
Author(s):  
Syed Adnan ◽  
Matti Maltamo ◽  
David A. Coomes ◽  
Antonio García-Abril ◽  
Yadvinder Malhi ◽  
...  
Keyword(s):  
Forest Structure ◽  
Laser Scanning ◽  
Simple Approach ◽  
Airborne Laser Scanning ◽  
Airborne Laser

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>

scholarly journals Deriving Stand Structural Complexity from Airborne Laser Scanning Data—What Does It Tell Us about a Forest?

2020 ◽  
Vol 12 (11) ◽  
pp. 1854
Author(s):  
Dominik Seidel ◽  
Peter Annighöfer ◽  
Martin Ehbrecht ◽  
Paul Magdon ◽  
Stephan Wöllauer ◽  
...  
Keyword(s):  
Forest Structure ◽  
Laser Scanning ◽  
Structural Complexity ◽  
Basal Area ◽  
Airborne Laser Scanning ◽  
Stand Age ◽  
Box Dimension ◽  
Forest Types ◽  
3D Point Clouds ◽  
Airborne Laser

The three-dimensional forest structure is an important driver of several ecosystem functions and services. Recent advancements in laser scanning technologies have set the path to measuring structural complexity directly from 3D point clouds. Here, we show that the box-dimension (Db) from fractal analysis, a measure of structural complexity, can be obtained from airborne laser scanning data. Based on 66 plots across different forest types in Germany, each 1 ha in size, we tested the performance of the Db by evaluating it against conventional ground-based measures of forest structure and commonly used stand characteristics. We found that the Db was related (0.34 < R < 0.51) to stand age, management intensity, microclimatic stability, and several measures characterizing the overall stand structural complexity. For the basal area, we could not find a significant relationship, indicating that structural complexity is not tied to the basal area of a forest. We also showed that Db derived from airborne data holds the potential to distinguish forest types, management types, and the developmental phases of forests. We conclude that the box-dimension is a promising measure to describe the structural complexity of forests in an ecologically meaningful way.

scholarly journals A Comparison of Airborne Laser Scanning and Image Point Cloud Derived Tree Size Class Distribution Models in Boreal Ontario

Forests ◽  
2015 ◽  
Vol 6 (12) ◽  
pp. 4034-4054 ◽  
Author(s):  
Margaret Penner ◽  
Murray Woods ◽  
Douglas Pitt
Keyword(s):  
Point Cloud ◽  
Laser Scanning ◽  
Size Class ◽  
Airborne Laser Scanning ◽  
Tree Size ◽  
Image Point ◽  
Distribution Models ◽  
Size Class Distribution ◽  
Class Distribution ◽  
Airborne Laser

Comparing individual tree detection and the area-based statistical approach for the retrieval of forest stand characteristics using airborne laser scanning in Scots pine stands

2011 ◽  
Vol 41 (3) ◽  
pp. 583-598 ◽  
Author(s):  
Jussi Peuhkurinen ◽  
Lauri Mehtätalo ◽  
Matti Maltamo
Keyword(s):  
Laser Scanning ◽  
Statistical Approach ◽  
Basal Area ◽  
Airborne Laser Scanning ◽  
Tree Size ◽  
Size Distributions ◽  
Individual Tree ◽  
Tree Detection ◽  
Airborne Laser ◽  
Number Of Stems

Airborne laser scanning based forest inventories employ two major methods: individual tree detection (ITD) and the area-based statistical approach (ABSA). ITD is based on the assumption that trees are of a certain form and can be delineated using airborne laser scanning techniques, whereas ABSA is an empirical method based on the relations between area-level forest attributes and laser echo height distributions. These two methods are compared here within the same test area in terms of their usefulness for estimating mean forest stand characteristics and tree size distributions. All evaluations were performed using leave-one-out cross validation. The average errors in volume and basal area did not differ significantly between the methods. ABSA resulted in overall better accuracies when estimating the diameter and height of the basal area median tree and the number of stems, whereas ITD produced significantly biased estimates for the number of stems and the mean tree size. Tree size distributions were estimated with slightly better accuracy using ABSA. More comprehensive investigations revealed that both methods were not able to estimate forest structure (tree size distribution and spatial distribution of tree locations), which in turn, affected the estimation accuracies.

A forest structure habitat index based on airborne laser scanning data

2016 ◽  
Vol 67 ◽  
pp. 346-357 ◽  
Author(s):  
Nicholas C. Coops ◽  
Piotr Tompaski ◽  
Wiebe Nijland ◽  
Gregory J.M. Rickbeil ◽  
Scott E. Nielsen ◽  
...  
Keyword(s):  
Forest Structure ◽  
Laser Scanning ◽  
Airborne Laser Scanning ◽  
Airborne Laser

Vertical forest structure analysis for wildfire prevention: Comparing airborne laser scanning data and stereoscopic hemispherical images

2018 ◽  
Vol 73 ◽  
pp. 438-449 ◽  
Author(s):  
Eva Marino ◽  
Fernando Montes ◽  
José Luis Tomé ◽  
José Antonio Navarro ◽  
Carmen Hernando
Keyword(s):  
Structure Analysis ◽  
Forest Structure ◽  
Laser Scanning ◽  
Airborne Laser Scanning ◽  
Airborne Laser

Modeling Mediterranean forest structure using airborne laser scanning data

2017 ◽  
Vol 57 ◽  
pp. 145-153 ◽  
Author(s):  
Francesca Bottalico ◽  
Gherardo Chirici ◽  
Raffaello Giannini ◽  
Salvatore Mele ◽  
Matteo Mura ◽  
...  
Keyword(s):  
Forest Structure ◽  
Laser Scanning ◽  
Airborne Laser Scanning ◽  
Mediterranean Forest ◽  
Airborne Laser
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