scholarly journals Tree crown segmentation based on a tree crown density model derived from Airborne Laser Scanning

2019 ◽  
Vol 10 (12) ◽  
pp. 1143-1152 ◽  
Author(s):  
Johan Holmgren ◽  
Eva Lindberg
Keyword(s):  
Laser Scanning ◽  
Airborne Laser Scanning ◽  
Density Model ◽  
Tree Crown ◽  
Airborne Laser ◽  
Crown Density

scholarly journals Airborne laser scanning and tree crown fragmentation metrics for the assessment of Phytophthora ramorum infected larch forest stands

2017 ◽  
Vol 404 ◽  
pp. 294-305 ◽  
Author(s):  
Chloe Barnes ◽  
Heiko Balzter ◽  
Kirsten Barrett ◽  
James Eddy ◽  
Sam Milner ◽  
...  
Keyword(s):  
Laser Scanning ◽  
Phytophthora Ramorum ◽  
Airborne Laser Scanning ◽  
Larch Forest ◽  
Forest Stands ◽  
Tree Crown ◽  
Airborne Laser

scholarly journals Tree crown segmentation in three dimensions using density models derived from airborne laser scanning

2022 ◽  
Vol 43 (1) ◽  
pp. 299-329
Author(s):  
Johan Holmgren ◽  
Eva Lindberg ◽  
Kenneth Olofsson ◽  
Henrik J. Persson
Keyword(s):  
Laser Scanning ◽  
Airborne Laser Scanning ◽  
Three Dimensions ◽  
Tree Crown ◽  
Airborne Laser

scholarly journals Machine Learning Algorithms to Predict Tree-Related Microhabitats using Airborne Laser Scanning

2020 ◽  
Vol 12 (13) ◽  
pp. 2142 ◽  
Author(s):  
Giovanni Santopuoli ◽  
Mirko Di Febbraro ◽  
Mauro Maesano ◽  
Marco Balsi ◽  
Marco Marchetti ◽  
...  
Keyword(s):  
Machine Learning ◽  
Laser Scanning ◽  
Large Scale ◽  
Point Clouds ◽  
Airborne Laser Scanning ◽  
Machine Learning Algorithms ◽  
Hierarchical Level ◽  
Height Distribution ◽  
Airborne Laser ◽  
Crown Density

In the last few years, the occurrence and abundance of tree-related microhabitats and habitat trees have gained great attention across Europe as indicators of forest biodiversity. Nevertheless, observing microhabitats in the field requires time and well-trained staff. For this reason, new efficient semiautomatic systems for their identification and mapping on a large scale are necessary. This study aims at predicting microhabitats in a mixed and multi-layered Mediterranean forest using Airborne Laser Scanning data through the implementation of a Machine Learning algorithm. The study focuses on the identification of LiDAR metrics useful for detecting microhabitats according to the recent hierarchical classification system for Tree-related Microhabitats, from single microhabitats to the habitat trees. The results demonstrate that Airborne Laser Scanning point clouds support the prediction of microhabitat abundance. Better prediction capabilities were obtained at a higher hierarchical level and for some of the single microhabitats, such as epiphytic bryophytes, root buttress cavities, and branch holes. Metrics concerned with tree height distribution and crown density are the most important predictors of microhabitats in a multi-layered forest.

scholarly journals Individual Tree Crown Delineation from Airborne Laser Scanning for Diseased Larch Forest Stands

2017 ◽  
Vol 9 (3) ◽  
pp. 231 ◽  
Author(s):  
Chloe Barnes ◽  
Heiko Balzter ◽  
Kirsten Barrett ◽  
James Eddy ◽  
Sam Milner ◽  
...  
Keyword(s):  
Laser Scanning ◽  
Airborne Laser Scanning ◽  
Larch Forest ◽  
Forest Stands ◽  
Tree Crown ◽  
Individual Tree ◽  
Airborne Laser ◽  
Crown Delineation ◽  
Tree Crown Delineation

A mixed pixel- and region-based approach for using airborne laser scanning data for individual tree crown delineation in Pinus radiata D. Don plantations

2013 ◽  
Vol 34 (21) ◽  
pp. 7671-7690 ◽  
Author(s):  
Eduardo González-Ferreiro ◽  
Ulises Diéguez-Aranda ◽  
Laura Barreiro-Fernández ◽  
Sandra Buján ◽  
Miguel Barbosa ◽  
...  
Keyword(s):  
Pinus Radiata ◽  
Laser Scanning ◽  
Airborne Laser Scanning ◽  
Tree Crown ◽  
Individual Tree ◽  
Mixed Pixel ◽  
Airborne Laser ◽  
Crown Delineation ◽  
Tree Crown Delineation
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