Results 21 to 30 of about 29,125 (157)
Remote Sensing, 2022 Individual tree detection algorithms (ITD) are used to obtain accurate information about trees. Following the process of individual tree detection, it is possible to use additional processing tools to determine tree parameters such as tree height, crown ...
Maciej Lisiewicz +3 more
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Road-Side Individual Tree Segmentation from Urban MLS Point Clouds Using Metric Learning
Remote Sensing, 2023 As one of the most important components of urban space, an outdated inventory of road-side trees may misguide managers in the assessment and upgrade of urban environments, potentially affecting urban road quality.
Pengcheng Wang +6 more
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Remote Sensing, 2023 Individual tree species classification is of strategic importance for forest monitoring, analysis, and management, which are critical for sustainable forestry development. In this regard, the paper proposes a method based on the profile of segmented individual tree laser scanning points to identify tree species.
Chen Qian +4 more
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Segmentation of Individual Trees From TLS and MLS Data
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2017 Terrestrial laser scanning (TLS) and mobile laser scanning (MLS) data can be used to obtain abundant and precise side information of trees. Therefore, it can enable extracting individual tree parameters, such as the tree height, crown size, crown base height, and diameter at breast height, and it can provide basic data for forest research and ...
Lishan Zhong +5 more
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Remote Sensing, 2023 Accurate individual tree detection by unmanned aerial vehicles (UAVs) is a critical technique for smart forest management and serves as the foundation for evaluating ecological functions.
Lujin Lv +9 more
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A self-adaptive mean shift tree-segmentation method Using UAV LiDAR data
Remote Sensing, 2020 Unmanned aerial vehicles using light detection and ranging (UAV LiDAR) with high spatial resolution have shown great potential in forest applications because they can capture vertical structures of forests.
Wanqian Yan +5 more
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Individual Tree Segmentation from LiDAR Point Clouds for Urban Forest Inventory [PDF]
Remote Sensing, 2015 The objective of this study is to develop new algorithms for automated urban forest inventory at the individual tree level using LiDAR point cloud data. LiDAR data contain three-dimensional structure information that can be used to estimate tree height, base height, crown depth, and crown diameter.
Caiyun Zhang, Yuhong Zhou, Fang Qiu
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Open Geosciences, 2021 The correct individual tree segmentation of the forest is necessary for extracting the additional information of trees, such as tree height, crown width, and other tree parameters.
Chen Qiuji +3 more
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Multisensor Data Fusion for Improved Segmentation of Individual Tree Crowns in Dense Tropical Forests [PDF]
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021 Automatic tree crown segmentation from remote sensing data is especially challenging in dense, diverse, and multilayered tropical forest canopies, and tracking mortality by this approach is even more difficult. Here, we examine the potential for combining airborne laser scanning (ALS) with multispectral and hyperspectral data to improve the accuracy of
Mélaine Aubry-Kientz +6 more
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An Individual Tree Segmentation Method That Combines LiDAR Data and Spectral Imagery
Forests, 2023 The dynamic monitoring of forest resources is an integral component of forest resource management and forest eco-system stability maintenance. In recent years, LiDAR (Light Detection and Ranging) has been increasingly utilized in precision forest surveys due to its great penetrating ability and capacity to detect forest vertical structure information ...
Xingwang Chen +5 more
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