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Relevant bibliographies by topics / Tree crown

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Academic literature on the topic 'Tree crown'

Author: Grafiati

Published: 4 June 2021

Last updated: 26 July 2025

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Journal articles on the topic "Tree crown"

1

Clatterbuck, Wayne K., Tyler M. L. Brannon, and Edward C. Yost. "Branch Elongation, Bud Durability, and Wind-Generated Crown Movement Associated with Crown Abrasion in Deciduous Trees." Forests 15, no. 2 (2024): 247. http://dx.doi.org/10.3390/f15020247.

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Trees that grow in close proximity to other trees are subject to crown and branch abrasion, causing mechanical injury. The loss of branch tips and buds through abrasion can affect the architecture and growth of tree crowns. This research quantifies the impacts of crown abrasion between neighboring trees of several deciduous species and how crown abrasion may influence stand dynamics. Tree interactions were evaluated during the dormant and growing seasons to determine how wind-generated movement affects crowns under foliated and un-foliated conditions. Branch elongation was measured in tree cro

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Tahar, K. N., M. A. Asmadin, S. A. H. Sulaiman, N. Khalid, A. N. Idris, and M. H. Razali. "Individual Tree Crown Detection Using UAV Orthomosaic." Engineering, Technology & Applied Science Research 11, no. 2 (2021): 7047–53. http://dx.doi.org/10.48084/etasr.4093.

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Unmanned Aerial Vehicles (UAVs) are increasingly used in forestry as they are economical and flexible. This study aims to present the advantages of the drone photogrammetry method in collecting individual tree crowns, as individual tree crown detection could deliver essential ecological and economic information. The referred accuracy for individual tree crown extraction is 79.2%. Only crowns that were clearly visible were selected and manually delineated on the image because the distribution of the true crown size is significantly different from the segmented crowns. The aim of this study is t

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Zeide, Boris, and Peter Pfeifer. "A Method for Estimation of Fractal Dimension of Tree Crowns." Forest Science 37, no. 5 (1991): 1253–65. http://dx.doi.org/10.1093/forestscience/37.5.1253.

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Abstract A method is proposed for estimating fractal dimension of tree crowns from measurements of foliage mass and crown volume. Because fractal dimensions for each of the ten investigated species were greater than two, crown surface and volume depend on the unit of measurement. The power relationship between foliage mass and crown volume reflects self-similarity of tree crowns. In all studied cases, fractal dimensions of dominant trees were greater than those of intermediate trees of the same species. Fractal dimension can be used as an indicator of tolerance, crown class, and foliage distri

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Power, Hugues, Valerie LeMay, Frank Berninger, Derek Sattler, and Daniel Kneeshaw. "Differences in crown characteristics between black (Picea mariana) and white spruce (Picea glauca)." Canadian Journal of Forest Research 42, no. 9 (2012): 1733–43. http://dx.doi.org/10.1139/x2012-106.

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Black spruce ( Picea mariana (Mill.) Britton, Sterns & Poggenb.) and white spruce ( Picea glauca (Moench) Voss) are phylogenetically proximal species that differ in productivity. Crown characteristics of these two species have not been extensively studied, in spite of the importance of these two species to the Canadian boreal forest and the importance of tree crowns for understanding and modelling tree growth. In this paper, we characterize and compare the crown lengths, crown profiles (i.e., radii), shapes, and surface areas of these two species using 65 white spruce and 57 black spruce t

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Boivin, Frédéric, Alain Paquette, Pierre Racine, and Christian Messier. "A fast and reliable method for the delineation of tree crown outlines for the computation of crown openness values and other crown parameters." Canadian Journal of Forest Research 41, no. 9 (2011): 1827–35. http://dx.doi.org/10.1139/x11-107.

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Numerous crown parameters (e.g., leaf area index, diameter, height, volume) can be obtained via the analysis of tree crown photographs. In all cases, parameter values are functions of the position of the crown outline. However, no standardized method to delineate crowns exists. To explore the effect of different outlines on tree crown descriptors, in this case crown openness (CO), and facilitate the adoption of a standard method free of user bias, we developed the program Crown Delineator that automatically delineates any outline around tree crowns following predetermined sensibility settings.

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Shamim, Ahmed, and Pretzsch Hans. "TLidar-based crown shape indicates tree ring pattern in Norway spruce (Picea abies (L.) H. Karst) trees across competition gradients. A modeling and methodological approach." Ecological indicators 2023, no. 148 (2023): 110116. https://doi.org/10.5281/zenodo.7716499.

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Tree crowns and growth rings are physiologically and functionally connected through supporting and resource sharing. Management interventions may strongly influence tree growth by altering this linkage. However, conventional approaches have limited ability to characterize crown shape precisely, thus hindering our understanding of the relationship between crown shape and tree ring patterns. We, thus, aimed to test three hypotheses: (HI) Crown shape (regularity vs. irregularity) and ring patterns (regularity or irregularity) are significantly correlated and (HII) vary across density gradients; i

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Liu, Yao, Haotian You, Xu Tang, Qixu You, Yuanwei Huang, and Jianjun Chen. "Study on Individual Tree Segmentation of Different Tree Species Using Different Segmentation Algorithms Based on 3D UAV Data." Forests 14, no. 7 (2023): 1327. http://dx.doi.org/10.3390/f14071327.

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Individual structural parameters of trees, such as forest stand tree height and biomass, serve as the foundation for monitoring of dynamic changes in forest resources. Individual tree structural parameters are closely related to individual tree crown segmentation. Although three-dimensional (3D) data have been successfully used to determine individual tree crown segmentation, this phenomenon is influenced by various factors, such as the (i) source of 3D data, (ii) the segmentation algorithm, and (iii) the tree species. To further quantify the effect of various factors on individual tree crown

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Kaźmierczak, Katarzyna. "The current growth increment of pine tree stands comprising three different age classes." Forest Research Papers 74, no. 2 (2013): 93–100. http://dx.doi.org/10.2478/frp-2013-0009.

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Abstract The study presents the results of an analysis of the pine tree growth increments (height increment, dbh increment, basal area increment and volume increment) for a 5-year period. The study involved Scots pine trees of Kraft’s class 1, 2 and 3 (dominant stand) in stands of different age classes (II, III, V) growing in fresh mixed coniferous (BMśw) and fresh coniferous (Bśw) forest habitats. The multivariate analysis of variance was performed to assess the statistical significance of age and dominance of trees within a stand on their increment. The dominance position was classified for

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Antos, Joseph A., Roberta Parish, and Gordon D. Nigh. "Effects of neighbours on crown length of Abies lasiocarpa and Picea engelmannii in two old-growth stands in British Columbia." Canadian Journal of Forest Research 40, no. 4 (2010): 638–47. http://dx.doi.org/10.1139/x10-011.

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Crown length is a key aspect of vertical structure in multi-aged, multistrata, mixed-species forests. Crown length, defined as the distance from the tree top to the lowest live branch whorl, was determined for 3169 mapped trees ≥4.0 cm in diameter, in four 0.25 ha plots in each of two old-growth Abies lasiocarpa (Hook.) Nutt. – Picea engelmannii Parry ex Engelm. stands. We randomly selected half the trees to build models and half for validation. Crown length was modelled as a function of tree height, incorporating modifiers to account for neighbouring trees. The inclusion radius and height thr

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Karna, Yogendra K., Trent D. Penman, Cristina Aponte, and Lauren T. Bennett. "Assessing Legacy Effects of Wildfires on the Crown Structure of Fire-Tolerant Eucalypt Trees Using Airborne LiDAR Data." Remote Sensing 11, no. 20 (2019): 2433. http://dx.doi.org/10.3390/rs11202433.

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The fire-tolerant eucalypt forests of south eastern Australia are assumed to fully recover from even the most intense fires; however, surprisingly, very few studies have quantitatively assessed that recovery. The accurate assessment of horizontal and vertical attributes of tree crowns after fire is essential to understand the fire’s legacy effects on tree growth and on forest structure. In this study, we quantitatively assessed individual tree crowns 8.5 years after a 2009 wildfire that burnt extensive areas of eucalypt forest in temperate Australia. We used airborne LiDAR data validated with

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Dissertations / Theses on the topic "Tree crown"

1

Wang, Yingping. "Crown structure, radiation absorption, photosynthesis and transpiration." Thesis, University of Edinburgh, 1988. http://webex.lib.ed.ac.uk/homes/wang88.html.

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Lai, Can. "Factors affecting tree crown allometries and consequences on forest structure." Doctoral thesis, Università degli studi di Padova, 2019. http://hdl.handle.net/11577/3427298.

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Tree crown architecture is crucial for light capture, it determines the competitive advantage over neighbouring trees and related to the demographic process of forests. Geographic variation of crown architecture is impressive: from flat-top crown in tropical regions to narrow-deep in boreal regions. However, the assessment of crown traits across geographic areas is still lacking. In this research, I would like to figure out the relationship of crown properties with size by the simply effective power law method, namely allometry. With the aim of quantifying the relationship at broad scales, w

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Liu, Haijian. "Automated Treetop Detection and Tree Crown Identification Using Discrete-return Lidar Data." Thesis, University of North Texas, 2013. https://digital.library.unt.edu/ark:/67531/metadc271858/.

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Accurate estimates of tree and forest biomass are essential for a wide range of applications. Automated treetop detection and tree crown discrimination using LiDAR data can greatly facilitate forest biomass estimation. Previous work has focused on homogenous or single-species forests, while few studies have focused on mixed forests. In this study, a new method for treetop detection is proposed in which the treetop is the cluster center of selected points rather than the highest point. Based on treetop detection, tree crowns are discriminated through comparison of three-dimensional shape signat

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Kim, Sooyoung. "Individual tree species identification using LIDAR-derived crown structures and intensity data /." Thesis, Connect to this title online; UW restricted, 2008. http://hdl.handle.net/1773/5548.

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Horváth, Péter. "The "gaz of circles" model and its application to tree crown extraction." Nice, 2007. http://www.theses.fr/2007NICE4068.

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We present the gas of circles (GOC) model, which is a tool to describe a set of circles with an approximately fixed radius. The model is based on the recently introduced `higher-order active contour'(HOAC) framework. For certain ranges of the parameters, the model creates stable circles with an approximately fixed radius instead of networks. We show how to determine this set of parameters. The general gas of circle model has many potential applications in varied domains, but it suffers from a drawback: the local minima corresponding to circles can trap the gradient descent algorithm, thus prod

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Sadeghinaeenifard, Fariba. "Automated Tree Crown Discrimination Using Three-Dimensional Shape Signatures Derived from LiDAR Point Clouds." Thesis, University of North Texas, 2018. https://digital.library.unt.edu/ark:/67531/metadc1157521/.

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Discrimination of different tree crowns based on their 3D shapes is essential for a wide range of forestry applications, and, due to its complexity, is a significant challenge. This study presents a modified 3D shape descriptor for the perception of different tree crown shapes in discrete-return LiDAR point clouds. The proposed methodology comprises of five main components, including definition of a local coordinate system, learning salient points, generation of simulated LiDAR point clouds with geometrical shapes, shape signature generation (from simulated LiDAR points as reference shape sign

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Suzuki, Arata. "Crown architecture development and reproduction in dioecious small tree, Eurya japonica Thunb. (Theaceae)." Kyoto University, 2002. http://hdl.handle.net/2433/149893.

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Kyoto University (京都大学)<br>0048<br>新制・課程博士<br>博士(農学)<br>甲第9601号<br>農博第1229号<br>新制||農||840(附属図書館)<br>学位論文||H14||N3633(農学部図書室)<br>UT51-2002-G359<br>京都大学大学院農学研究科森林科学専攻<br>(主査)教授菊澤喜八郎, 教授杉浦明, 教授藤崎憲治<br>学位規則第4条第1項該当

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Lang, Anne Christina [Verfasser], and Goddert von [Akademischer Betreuer] Oheimb. "The role of tree diversity for individual tree growth, crown architecture and branch demography / Anne Christina Lang. Betreuer: Goddert von Oheimb." Lüneburg : Universitätsbibliothek der Leuphana Universität Lüneburg, 2012. http://d-nb.info/1034147935/34.

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Doruska, Paul F. "Methods for Quantitatively Describing Tree Crown Profiles of Loblolly pine (Pinus taeda L.)." Diss., Virginia Tech, 1998. http://hdl.handle.net/10919/30638.

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Physiological process models, productivity studies, and wildlife abundance studies all require accurate representations of tree crowns. In the past, geometric shapes or flexible mathematical equations approximating geometric shapes were used to represent crown profiles. Crown profile of loblolly pine (<I>Pinus taeda</I> L.) was described using single-regressor, nonparametric regression analysis in an effort to improve crown representations. The resulting profiles were compared to more traditional representations. Nonparametric regression may be applicable when an underlying parametric m

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Erikson, Mats. "Segmentation and classification of individual tree crowns : in high spatial resolution aerial images /." Uppsala : Centre for Image Analysis, Swedish Univ. of Agricultural Sciences, 2004. http://epsilon.slu.se/s320.pdf.

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Books on the topic "Tree crown"

1

Cole, William G. Hardwood tree crown measurement guide. Ministry of Natural Resources, 1995.

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Service, United States Forest. How a tree grows: Leaves, crown, trunk, roots. U.S. Dept. of Agriculture, Forest Service, 1987.

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McMinn, J. W. Derivation of prism factors for quantifying tree crown competition. U.S. Dept. of Agriculture, Forest Service, Southeastern Forest Experiment Station, 1986.

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Gougeon, François A. Forest information extraction from high spatial resolution images using an individual tree crown approach. Natural Resources Canada, Canadian Forest Service, Pacific Forestry Centre, 2003.

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5

Ritchie, Martin W. Equations for predicting height to crown base for fourteen tree species in southwest Oregon. Forest Research Laboratory, College of Forestry, Oregon State University, 1987.

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Randolph, KaDonna C. Descriptive statistics of tree crown condition in the southern United States and impacts on data analysis and interpretation. U.S. Dept. of Agriculture, Forest Service, Southern Research Station, 2006.

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Abdel Azim M. A. Zumrawi. Equations for predicting the height to crown base of six tree species in the central western Willamette Valley of Oregon. Forest Research Lab, College of Forestry, Oregon State University, 1989.

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8

Lewis, Davies. Tree of crows. Parthian Books, 1996.

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J, Shaw Dennis, and United States. Forest Service. Southern Research Station., eds. A tree taper model based on similar triangles and use of crown ratio as a measure of form in taper equations for longleaf pine. U.S. Dept. of Agriculture, Forest Service, Southern Research Station, 2003.

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Kiarostami, Abbas. Trees and crows. Art Advisory Associates Limited, 2009.

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Book chapters on the topic "Tree crown"

1

Roloff, A. "Crown Structure and Tree Vitality." In Acid Deposition. Springer Berlin Heidelberg, 1991. http://dx.doi.org/10.1007/978-3-642-76473-8_13.

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Breidenbach, Johannes, and Rasmus Astrup. "The Semi-Individual Tree Crown Approach." In Forestry Applications of Airborne Laser Scanning. Springer Netherlands, 2013. http://dx.doi.org/10.1007/978-94-017-8663-8_6.

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Ishii, Hiroaki. "How Do Changes in Leaf/Shoot Morphology and Crown Architecture Affect Growth and Physiological Function of Tall Trees?" In Tree Physiology. Springer Netherlands, 2011. http://dx.doi.org/10.1007/978-94-007-1242-3_8.

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Zhu, Chao, Xiaopeng Zhang, Baogang Hu, and Marc Jaeger. "Reconstruction of Tree Crown Shape from Scanned Data." In Technologies for E-Learning and Digital Entertainment. Springer Berlin Heidelberg, 2008. http://dx.doi.org/10.1007/978-3-540-69736-7_79.

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Deng, Guang, Zengyuan Li, Honggan Wu, and Xu Zhang. "Automated Extracting Tree Crown from Quickbird Stand Image." In Computer and Computing Technologies in Agriculture IV. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-18333-1_36.

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Roslan, Zhafri Hariz, Ji Hong Kim, Roslan Ismail, and Robiah Hamzah. "Tree Crown Detection and Delineation Using Digital Image Processing." In Advances in Intelligent Systems and Computing. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-19063-7_33.

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Grishin, A. M. "Interaction of Shock Waves with Tree Crowns and the Front of Crown Forest Fires." In Shock Waves @ Marseille III. Springer Berlin Heidelberg, 1995. http://dx.doi.org/10.1007/978-3-642-78835-2_70.

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Fu, Wenlong, Bing Xue, Mengjie Zhang, and Jan Schindler. "Evolving U-Nets Using Genetic Programming for Tree Crown Segmentation." In Image and Vision Computing. Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-25825-1_14.

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Silván-Cárdenas, José Luis. "A Segmentation Method for Tree Crown Detection and Modelling from LiDAR Measurements." In Lecture Notes in Computer Science. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-31149-9_7.

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Shashkov, Maxim, Natalya Ivanova, Vladimir Shanin, and Pavel Grabarnik. "Ground Surveys Versus UAV Photography: The Comparison of Two Tree Crown Mapping Techniques." In Springer Proceedings in Earth and Environmental Sciences. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-11720-7_8.

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Conference papers on the topic "Tree crown"

1

Miezit, Olga, Edgars Dubrovskis, Dace Brizga, and Aija Berzina. "NATURAL REGENERATION OF PINUS SYLVESTRIS L. FROM SEED TREES IN POOR MINERAL SOILS." In 24th SGEM International Multidisciplinary Scientific GeoConference 2024. STEF92 Technology, 2024. https://doi.org/10.5593/sgem2024/3.1/s14.45.

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In economic forests, the productivity of forest stands should be increased as much as possible, because the global demand for timber is growing every year. Planted forest trees can be realized using the advantages of selection, naturally regenerated - faster growth can be achieved by improving the growing conditions and limiting factors that reduce or delay the formation of growth. Data were collected in 6-year-old P.sylvestris forest stands Cladinoso-callunosa and Vacciniosa. The plots were established in an area of 17.2 ha (R=7.98 m; S=200 m2), each with a seed tree in the center. The aim of

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Wang, Haoran, Yifan Liu, Zekun Liu, et al. "Dual-Path Tree Crown Detection on Remote Sensing Images." In 2025 8th International Conference on Advanced Algorithms and Control Engineering (ICAACE). IEEE, 2025. https://doi.org/10.1109/icaace65325.2025.11019327.

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Goswami, Anurupa, and Unmesh Khati. "Tree Crown Segmentation and Stock Volume Prediction Using Unoccupied Aerial Vehicle Imagery." In 2024 IEEE India Geoscience and Remote Sensing Symposium (InGARSS). IEEE, 2024. https://doi.org/10.1109/ingarss61818.2024.10984081.

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Tao, Yongtao, Zhuowei Wang, and Genping Zhao. "Shadow-Resilient Tree Crown Detection in UAV Remote Sensing Images Using Deep Learning." In 2024 4th International Conference on Computer Science and Blockchain (CCSB). IEEE, 2024. http://dx.doi.org/10.1109/ccsb63463.2024.10735679.

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Zhu, Ruoning, Guoqi Chai, and Xin Tian. "Individual Tree Crown Segmentation in Subtropical Broadleaf Forests Using UAV-based Ultrahigh-Resolution RGB Data." In IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium. IEEE, 2024. http://dx.doi.org/10.1109/igarss53475.2024.10642737.

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Wang, Ziyi, and Hao Tang. "Individual Tree Crown Extraction from High Resolution Image Based on a Threshold-Improved Watershed Algorithm." In IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium. IEEE, 2024. http://dx.doi.org/10.1109/igarss53475.2024.10642760.

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Shi, Jinzhuang, Hui Li, Yuanyuan Lin, Linhai Jing, and Kongwen Zhang. "Individual Tree Crown Delineation Based on Deep Learning for Arid Areas Using High-Resolution Satellite Imagery." In IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium. IEEE, 2024. http://dx.doi.org/10.1109/igarss53475.2024.10641289.

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Li, Qian, and Baoxin Hu. "A Deep Learning Approach to Individual Tree Crown Detection from Airborne LiDAR Data in a Mixed-Wood Forest." In IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium. IEEE, 2024. http://dx.doi.org/10.1109/igarss53475.2024.10641301.

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Subedi, Prajwol Babu, Hamdi A. Zurqani, Michael A. Blazier, Marco Yáñez, and Kyle Cunningham. "Automated Individual Tree Crown Detection and Segmentation using Simple Non-Iterative Clustering (SNIC) Algorithms and High-Resolution LiDAR." In 2025 IEEE Conference on Technologies for Sustainability (SusTech). IEEE, 2025. https://doi.org/10.1109/sustech63138.2025.11025563.

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Sothe, Camile, Ryan Mccarthy, and Christopher B. Anderson. "An Unsupervised Approach to Build a Training Dataset for Individual Tree Crown Delineation Using Airborne Lidar and Field Observations." In IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium. IEEE, 2024. http://dx.doi.org/10.1109/igarss53475.2024.10642491.

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Reports on the topic "Tree crown"

1

Randolph, KaDonna C., and W. Keith Moser. Tree crown conditions in Missouri, 2000-2003. U.S. Department of Agriculture, Forest Service, Southern Research Station, 2009. http://dx.doi.org/10.2737/srs-gtr-113.

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Randolph, KaDonna C., and W. Keith Moser. Tree crown conditions in Missouri, 2000-2003. U.S. Department of Agriculture, Forest Service, Southern Research Station, 2009. http://dx.doi.org/10.2737/srs-gtr-113.

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Randolph, KaDonna C., Randall S. Morin, and Jim Steinman. Descriptive statistics of tree crown condition in the Northeastern United States. U.S. Department of Agriculture, Forest Service, Southern Research Station, 2010. http://dx.doi.org/10.2737/srs-gtr-124.

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Randolph, KaDonna C., Sally J. Campbell, and Glenn Christensen. Descriptive statistics of tree crown condition in California, Oregon, and Washington. U.S. Department of Agriculture, Forest Service, Southern Research Station, 2010. http://dx.doi.org/10.2737/srs-gtr-126.

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Randolph, KaDonna C., Sally J. Campbell, and Glenn Christensen. Descriptive statistics of tree crown condition in California, Oregon, and Washington. U.S. Department of Agriculture, Forest Service, Southern Research Station, 2010. http://dx.doi.org/10.2737/srs-gtr-126.

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Randolph, KaDonna C., Randall S. Morin, and Jim Steinman. Descriptive statistics of tree crown condition in the Northeastern United States. U.S. Department of Agriculture, Forest Service, Southern Research Station, 2010. http://dx.doi.org/10.2737/srs-gtr-124.

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Randolph, KaDonna C., Randall S. Morin, and Jim Steinman. Descriptive statistics of tree crown condition in the North Central United States. U.S. Department of Agriculture, Forest Service, Southern Research Station, 2010. http://dx.doi.org/10.2737/srs-gtr-125.

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Randolph, KaDonna C., and Mike T. Thompson. Descriptive statistics of tree crown condition in the United States Interior West. U.S. Department of Agriculture, Forest Service, Southern Research Station, 2010. http://dx.doi.org/10.2737/srs-gtr-127.

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Randolph, KaDonna C., Randall S. Morin, and Jim Steinman. Descriptive statistics of tree crown condition in the North Central United States. U.S. Department of Agriculture, Forest Service, Southern Research Station, 2010. http://dx.doi.org/10.2737/srs-gtr-125.

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Randolph, KaDonna C., and Mike T. Thompson. Descriptive statistics of tree crown condition in the United States Interior West. U.S. Department of Agriculture, Forest Service, Southern Research Station, 2010. http://dx.doi.org/10.2737/srs-gtr-127.

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