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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

Effects of tree crown delineation in individual tree species classification with hyperspectral and LiDAR data

2012
The effect of tree crown delineation on tree species classification using hyperspectral and LiDAR data was analyzed in this study. We considered a manual and an automatic crown extraction procedure. The results showed that crown delineation influenced the classification results.
Dalponte, Michele   +5 more
openaire   +1 more source

Individual tree crown delineation using localized contour tree method and airborne LiDAR data in coniferous forests

International Journal of Applied Earth Observation and Geoinformation, 2016
Qiusheng Wu, Bailang Yu, Bin Wu
exaly  

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  

Spatial occupancy index of tree crown: Can provide new perspectives for quantifying structural complexity of individual tree crowns

Remote Sensing of Environment
Yuting Zhao   +5 more
openaire   +1 more source

Stand delineation and composition estimation using semi-automated individual tree crown analysis

Remote Sensing of Environment, 2003
Donald G Leckie, François A Gougeon
exaly  

ARBOR: A new framework for assessing the accuracy of individual tree crown delineation from remotely-sensed data

Remote Sensing of Environment, 2019
Duncan Whyatt   +2 more
exaly  

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