Estimation of the leaf area density distribution of individual trees using high-resolution and multi-return airborne LiDAR data

2015 ◽  
Vol 166 ◽  
pp. 116-125 ◽  
Author(s):  
Haruki Oshio ◽  
Takashi Asawa ◽  
Akira Hoyano ◽  
Satoshi Miyasaka
Keyword(s):  
High Resolution ◽  
Density Distribution ◽  
Leaf Area ◽  
Airborne Lidar ◽  
Lidar Data ◽  
Area Density ◽  
Leaf Area Density ◽  
Individual Trees ◽  
Airborne Lidar Data

scholarly journals Individual Tree Position Extraction and Structural Parameter Retrieval Based on Airborne LiDAR Data: Performance Evaluation and Comparison of Four Algorithms

2020 ◽  
Vol 12 (3) ◽  
pp. 571 ◽  
Author(s):  
Chen ◽  
Xiang ◽  
Moriya
Keyword(s):  
Template Matching ◽  
Local Maximum ◽  
Airborne Lidar ◽  
Forest Monitoring ◽  
Lidar Data ◽  
Individual Tree ◽  
Matching Algorithm ◽  
Crown Width ◽  
Individual Trees ◽  
Airborne Lidar Data

Information for individual trees (e.g., position, treetop, height, crown width, and crown edge) is beneficial for forest monitoring and management. Light Detection and Ranging (LiDAR) data have been widely used to retrieve these individual tree parameters from different algorithms, with varying successes. In this study, we used an iterative Triangulated Irregular Network (TIN) algorithm to separate ground and canopy points in airborne LiDAR data, and generated Digital Elevation Models (DEM) by Inverse Distance Weighted (IDW) interpolation, thin spline interpolation, and trend surface interpolation, as well as by using the Kriging algorithm. The height of the point cloud was assigned to a Digital Surface Model (DSM), and a Canopy Height Model (CHM) was acquired. Then, four algorithms (point-cloud-based local maximum algorithm, CHM-based local maximum algorithm, watershed algorithm, and template-matching algorithm) were comparatively used to extract the structural parameters of individual trees. The results indicated that the two local maximum algorithms can effectively detect the treetop; the watershed algorithm can accurately extract individual tree height and determine the tree crown edge; and the template-matching algorithm works well to extract accurate crown width. This study provides a reference for the selection of algorithms in individual tree parameter inversion based on airborne LiDAR data and is of great significance for LiDAR-based forest monitoring and management.

A hybrid method for segmenting individual trees from airborne lidar data

2019 ◽  
Vol 163 ◽  
pp. 104871 ◽  
Author(s):  
Li Liu ◽  
Samsung Lim ◽  
Xuesong Shen ◽  
Marta Yebra
Keyword(s):  
Hybrid Method ◽  
Airborne Lidar ◽  
Lidar Data ◽  
Individual Trees ◽  
Airborne Lidar Data

scholarly journals Topographical changes revealed by high-resolution airborne LiDAR data: The 1999 Tsaoling landslide induced by the Chi–Chi earthquake

2006 ◽  
Vol 88 (3-4) ◽  
pp. 160-172 ◽  
Author(s):  
Rou-Fei Chen ◽  
Kuo-Jen Chang ◽  
Jacques Angelier ◽  
Yu-Chang Chan ◽  
Benoît Deffontaines ◽  
...  
Keyword(s):  
High Resolution ◽  
Airborne Lidar ◽  
Lidar Data ◽  
Airborne Lidar Data

High-resolution interpretative geomorphological mapping of river valley environments using airborne LiDAR data

2007 ◽  
Vol 32 (10) ◽  
pp. 1574-1592 ◽  
Author(s):  
Anna F. Jones ◽  
Paul A. Brewer ◽  
Eric Johnstone ◽  
Mark G. Macklin
Keyword(s):  
High Resolution ◽  
River Valley ◽  
Airborne Lidar ◽  
Lidar Data ◽  
Geomorphological Mapping ◽  
Airborne Lidar Data
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