Trends in automatic individual tree crown detection and delineation—Evolution of LiDAR data

Z Zhen, LJ Quackenbush, L Zhang - Remote Sensing, 2016 - mdpi.com
Automated individual tree crown detection and delineation (ITCD) using remotely sensed
data plays an increasingly significant role in efficiently, accurately, and completely …

Earth observation based monitoring of forests in Germany: a review

S Holzwarth, F Thonfeld, S Abdullahi, S Asam… - Remote Sensing, 2020 - mdpi.com
Forests in Germany cover around 11.4 million hectares and, thus, a share of 32% of
Germany's surface area. Therefore, forests shape the character of the country's cultural …

Mapping urban tree species using integrated airborne hyperspectral and LiDAR remote sensing data

L Liu, NC Coops, NW Aven, Y Pang - Remote Sensing of Environment, 2017 - Elsevier
Mapping tree species within urban areas is essential for sustainable urban planning as well
as to improve our understanding of the role of urban vegetation as an ecological service …

[HTML][HTML] Mapping the urban forest in detail: From LiDAR point clouds to 3D tree models

M Münzinger, N Prechtel, M Behnisch - Urban Forestry & Urban Greening, 2022 - Elsevier
Trees are an integral component of the urban environment and important for human well-
being, adaption measures to climate change and sustainable urban transformation …

Evaluating tree detection and segmentation routines on very high resolution UAV LiDAR data

L Wallace, A Lucieer, CS Watson - IEEE Transactions on …, 2014 - ieeexplore.ieee.org
Light detection and Ranging (LiDAR) is becoming an increasingly used tool to support
decision-making processes within forest operations. Area-based methods that derive …

激光雷达森林参数反演研究进展

李增元, 刘清旺, 庞勇 - 遥感学报, 2021 - ygxb.ac.cn
激光雷达通过发射激光能量和接收返回信号的方式, 来获取高精度的森林空间结构和林下地形
信息. 全波形激光雷达通过记录返回信号的全部能量, 得到亚米级植被垂直剖面; …

Layer stacking: A novel algorithm for individual forest tree segmentation from LiDAR point clouds

E Ayrey, S Fraver, JA Kershaw Jr… - Canadian Journal of …, 2017 - Taylor & Francis
As light detection and ranging (LiDAR) technology advances, it has become common for
datasets to be acquired at a point density high enough to capture structural information from …

[HTML][HTML] Towards low vegetation identification: A new method for tree crown segmentation from LiDAR data based on a symmetrical structure detection algorithm (SSD …

L Huo, E Lindberg, J Holmgren - Remote Sensing of Environment, 2022 - Elsevier
Obtaining low vegetation data is important in order to quantify the structural characteristics of
a forest. Dense three-dimensional (3D) laser scanning data can provide information on the …

An individual tree segmentation method based on watershed algorithm and three-dimensional spatial distribution analysis from airborne LiDAR point clouds

J Yang, Z Kang, S Cheng, Z Yang… - IEEE Journal of …, 2020 - ieeexplore.ieee.org
Accurate individual tree segmentation is an important basis for the subsequent calculation
and analysis of forestry parameters. However, rasterized canopy height model based …

Individual tree detection and crown delineation from Unmanned Aircraft System (UAS) LiDAR in structurally complex mixed species eucalypt forests

D Jaskierniak, A Lucieer, G Kuczera, D Turner… - ISPRS Journal of …, 2021 - Elsevier
Estimates of forest stocking density per hectare (N Ha) are important in characterising
ecological conditions and assessing changes in forest dynamics after disturbances due to …