Results 61 to 70 of about 16,908 (163)
Tree species classification at individual tree crowns (ITCs) level, using remote-sensing data, requires the availability of a sufficient number of reliable reference samples (i.e., training samples) to be used in the learning phase of the classifier.
Hoang Minh Nguyen +2 more
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Accurate individual-tree segmentation is essential for precision forestry. In previous studies, the canopy height model-based method was convenient to process, but its performance was limited owing to the loss of 3D information, and point-based methods ...
Yuwen Fu, Yifang Niu, Li Wang, Wang Li
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Comparing Deep Learning and MCWST Approaches for Individual Tree Crown Segmentation [PDF]
Abstract. Accurate segmentation of individual tree crowns (ITC) segmentation is essential for investigating tree-level based growth trends and assessing tree vitality. ITC segmentation using remote sensing data faces challenges due to crown heterogeneity, overlapping crowns and data quality. Currently, both classical and deep learning methods have been
W. Fan +6 more
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Unsupervised individual tree crown detection in high-resolution satellite imagery
Rapidly and accurately detecting individual tree crowns in satellite imagery is a critical need for monitoring and characterizing forest resources. We present a two-stage semiautomated approach for detecting individual tree crowns using high spatial resolution (0.6 m) satellite imagery.
Alexei N. Skurikhin +2 more
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Aiming at the shortcomings such as low accuracy and poor universality of the current LiDAR method for calculating the crown volume of an individual tree, the study presents a stratified polar coordinate conversion (SPCC) algorithm for estimating the ...
Jianpeng Zhang +6 more
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Accurate mapping and monitoring of forest structure and composition in complex mountainous regions remain challenging because of crown occlusion, crown adhesion, and pronounced topographic variation.
Guangbin Lei +8 more
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Unmanned aerial vehicle–light detection and ranging (UAV-LiDAR) provides a convenient and economical means of forest data acquisition that can penetrate canopy gaps to obtain abundant ground information, offering huge potential in forest inventory ...
Jiao Yu, Lei Lei, Zhenhong Li
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Crown width (CW) is a critical predictor of individual tree development and forest ecosystem function. Effective CW models are well established for plantations and structurally simpler forests, yet their applicability to diverse, species-rich natural ...
Canming He +2 more
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RESUMELa disponibilite d'images numeriques multispectrales aeriennes georeferencees de haute resolution spatiale, telles qu'obtenues par le MEIS-II, pourrait conduire a de nouvelles facons d'acquerir les inventaires d'amenagement forestier. Le potentiel d'une interpretation humaine assistee par ordinateur et faite a l'ecran est un bon exemple des ...
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Trees play a pivotal role in industrial processes by providing raw materials, such as timber and paper, while simultaneously contributing to sustainable practices through carbon dioxide sequestration and biodiversity support.
Xingpei Zhong +5 more
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