Results 221 to 230 of about 2,623 (238)
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Delineation of individual tree crowns for LiDAR tree and stand parameter estimation in Scottish woodlands

2007
There is an increasing need for accurate forest inventories to assist forest managers and decision makers in the planning of the forest resources. Airborne LiDAR methods enable the construction of Tree Canopy Models (TCM) at a fine resolution, which allow the delineation of individual tree crowns.
Rafael García   +2 more
openaire   +1 more source

Comparing Mask R-CNN and Mask2Former architectures for individual tree crown delineation

Weather anomalies caused by the anthropogenic climate crisis challenge environmental workers such as foresters with an increasing number of responsibilities. In addition to providing attractive conditions for new generations of workers, deep-learning tools can ease processes for better efficiency.
Sonja Ruschhaupt   +2 more
openaire   +2 more sources

Automatic tuning of segmentation parameters for tree crown delineation with multispectral data

2018
Studies with the purpose to identify and remotely classify native tree species play a strategic role in management, surveillance, administration, and conservation of these species, contributing to assess their cover extent and spatial distribution in a faster way.
Sothe, Camile   +3 more
openaire   +1 more source

Deep learning-based individual tree crown delineation in mangrove forests using very-high-resolution satellite imagery

ISPRS Journal of Photogrammetry and Remote Sensing, 2022
Guillaume Lassalle   +2 more
exaly  

Crown delineation using multispectral point cloud data

2018
Kolarik, Nicholas   +2 more
openaire   +1 more source

BARE: Boundary-Aware with Resolution Enhancement for Tree Crown Delineation

Attavit Wilaiwongsakul   +4 more
openaire   +1 more source

HyP-ECA: An Attention for Aerial Tree Crown Delineation and Species Classification

Anish Natekar   +4 more
openaire   +1 more source

Improving the efficiency and accuracy of individual tree crown delineation from high-density LiDAR data

International Journal of Applied Earth Observation and Geoinformation, 2014
Baoxin Hu, Linhai Jing
exaly  

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