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The shape of trees: Reimagining forest ecology in three dimensions with remote sensing
How ecologists think about above‐ground forest structure and dynamics is fundamentally
shaped by the data we can collect. This has historically been limited to what is possible with …
shaped by the data we can collect. This has historically been limited to what is possible with …
[HTML][HTML] Review of automatic processing of topography and surface feature identification LiDAR data using machine learning techniques
Machine Learning (ML) applications on Light Detection And Ranging (LiDAR) data have
provided promising results and thus this topic has been widely addressed in the literature …
provided promising results and thus this topic has been widely addressed in the literature …
[HTML][HTML] Automatic detection of snow breakage at single tree level using YOLOv5 applied to UAV imagery
The assessment of forest abiotic damages such as snow breakage is important to ensure
compensation to forest owners. Currently, information on the extent of snow breakage is …
compensation to forest owners. Currently, information on the extent of snow breakage is …
Forest structural complexity tool—an open source, fully-automated tool for measuring forest point clouds
Forest mensuration remains critical in managing our forests sustainably, however, capturing
such measurements remains costly, time-consuming and provides minimal amounts of …
such measurements remains costly, time-consuming and provides minimal amounts of …
[HTML][HTML] Towards low vegetation identification: A new method for tree crown segmentation from LiDAR data based on a symmetrical structure detection algorithm (SSD …
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 …
a forest. Dense three-dimensional (3D) laser scanning data can provide information on the …
Sensor agnostic semantic segmentation of structurally diverse and complex forest point clouds using deep learning
Forest inventories play an important role in enabling informed decisions to be made for the
management and conservation of forest resources; however, the process of collecting …
management and conservation of forest resources; however, the process of collecting …
[HTML][HTML] Segmentation of individual mangrove trees using UAV-based LiDAR data
H You, Y Liu, P Lei, Z Qin, Q You - Ecological Informatics, 2023 - Elsevier
Accurate assessment of structural parameters is essential to effectively monitor the
mangrove resources. However, the extraction results of mangrove structural parameters are …
mangrove resources. However, the extraction results of mangrove structural parameters are …
[HTML][HTML] Supervised terrestrial to airborne laser scanner model calibration for 3D individual-tree attribute map** using deep neural networks
Capturing subcanopy forest information from airborne laser scanning (ALS) is constrained
by signal occlusion. This study demonstrates the potential of close-range terrestrial laser …
by signal occlusion. This study demonstrates the potential of close-range terrestrial laser …