Statistical Radial Binary Patterns (SRBP) for Bark Texture Identification

2017 ◽  
pp. 101-113 ◽  
Author(s):  
Safia Boudra ◽  
Itheri Yahiaoui ◽  
Ali Behloul
Keyword(s):  
Bark Texture

scholarly journals Correction to: Genome-wide association studies of bark texture in Populus trichocarpa

2019 ◽  
Vol 15 (6) ◽  
Author(s):  
Roba Bdeir ◽  
Wellington Muchero ◽  
Yordan Yordanov ◽  
Gerald A. Tuskan ◽  
Victor Busov ◽  
...  
Keyword(s):  
Association Studies ◽  
Populus Trichocarpa ◽  
Genome Wide Association ◽  
Genome Wide Association Studies ◽  
Genome Wide ◽  
Bark Texture

scholarly journals Successional changes in epiphytic rainforest lichens: implications for the management of rainforest communities

2010 ◽  
Vol 42 (3) ◽  
pp. 311-321 ◽  
Author(s):  
Sharon E. MORLEY ◽  
Maria GIBSON
Keyword(s):  
Species Richness ◽  
Lichen Species ◽  
Size Classes ◽  
Number Of Species ◽  
Cool Temperate ◽  
Bark Texture ◽  
Old Trees ◽  
Temperate Rainforests ◽  
Stand Characteristics ◽  
Lichen Flora

AbstractWe explored lichen species richness and patterns of lichen succession on rough barked Nothofagus cunninghamii trees and on smooth barked Atherosperma moschatum trees in cool temperate rainforests in Victoria, Australia. Nothofagus cunninghamii trees from the Yarra Ranges, and A. moschatum trees from Errinundra were ranked into size classes (small, medium, large and extra-large), and differences in species richness and composition were compared between size classes for each tree species. Nothofagus cunninghamii supported a rich lichen flora (108 trees, 52 lichen species), with the largest trees supporting a significantly higher number of species, including many uncommon species. This success was attributed to varying bark texture, stand characteristics and microhabitat variations as the trees age. Atherosperma moschatum supported a comparable number of species (120 trees, 54 lichen species). Indeed on average, this host supported more lichen species than N. cunninghamii. However, successional patterns with increasing girth were not as clear for A. moschatum, possibly due to the more stable microclimate that this smooth barked host provided. Victorian cool temperate rainforests exist primarily as small, often isolated pockets within a sea of Eucalypt-dominated, fire-prone forest. Many are regenerating from past disturbance. We find that protection of Victoria's oldest rainforest pockets is crucial, as they represent sources of rare, potentially threatened lichen species, and may be acting as reservoirs for propagules for nearby ageing rainforests. Indeed, even single, large old trees have conservation importance, as they may provide exceptional microhabitats, not found elsewhere in the regenerating rainforest environment.

scholarly journals Distinctness, Uniformity and Stability (DUS) Characterization of Neolamarckia Cadamba Genetic Resources

2019 ◽  
Vol 7 (2) ◽  
pp. 268-275
Author(s):  
R. Thirunirai Selvan ◽  
K. T. Parthiban ◽  
B. Palanikumaran
Keyword(s):  
Genetic Resources ◽  
Leaf Shape ◽  
Morphological Characters ◽  
Leaf Length ◽  
Leaf Margin ◽  
Leaf Venation ◽  
Leaf Petiole ◽  
New Varieties ◽  
Bark Texture

Neolamarckia cadamba (Kadam) genetic resources were characterised Distinctness, Uniformity and Stability (DUS) traits based on International Union for the Protection of New Varieties of Plants12 guidelines. Twenty-five clones of kadam were characterised based on the morphological characters of leaf and bark with 12 descriptors. Among these 12 descriptors, 9 were qualitative traits viz., leaf shape, Leaf base shape, apex shape, leaf margin, leaf venation, base symmetry, Waxiness in upper side of leaf, bark colour and bark texture and 3 were quantitative characters viz., leaf length, leaf breath, leaf petiole length. The study exhibited significant variations among the genetic resources investigated for various DUS traits, which could act as reference traits for developing variety to protect the genetic resources through Intellectual Property Rights.

scholarly journals INDIVIDUAL TREE SPECIES CLASSIFICATION BASED ON TERRESTRIAL LASER SCANNING USING CURVATURE ESTIMATION AND CONVOLUTIONAL NEURAL NETWORK

2019 ◽  
Vol XLII-2/W13 ◽  
pp. 1077-1082
Author(s):  
T. Mizoguchi ◽  
A. Ishii ◽  
H. Nakamura
Keyword(s):  
Neural Network ◽  
Convolutional Neural Network ◽  
Tree Species ◽  
Point Cloud ◽  
Superior Performance ◽  
Depth Image ◽  
Species Classification ◽  
Individual Tree ◽  
Curvature Estimation ◽  
Bark Texture

<p><strong>Abstract.</strong> In this paper, we propose a new method for specifying individual tree species based on depth and curvature image creation from point cloud captured by terrestrial laser scanner and Convolutional Neural Network (CNN). Given a point cloud of an individual tree, the proposed method first extracts the subset of points corresponding to a trunk at breast-height. Then branches and leaves are removed from the extracted points by RANSAC -based circle fitting, and the depth image is created by globally fitting a cubic polynomial surface to the remaining trunk points. Furthermore, principal curvatures are estimated at each scanned point by locally fitting a quadratic surface to its neighbouring points. Depth images clearly capture the bark texture involved by its split and tear-off, but its computation is unstable and may fail to acquire bark shape in the resulting images. In contrast, curvature estimation enables stable computation of surface concavity and convexity, and thus it can well represent local geometry of bark texture in the curvature images. In comparison to the depth image, the curvature image enables accurate classification for slanted trees with many branches and leaves. We also evaluated the effectiveness of a multi-modal approach for species classification in which depth and curvature images are analysed together using CNN and support vector machine. We verified the superior performance of our proposed method for point cloud of Japanese cedar and cypress trees.</p>

An Overview of Tree Species Identification from T-LiDAR Data

2015 ◽  
pp. 342-359
Author(s):  
Alice Ahlem Othmani
Keyword(s):  
Tree Species ◽  
Forest Inventory ◽  
Species Recognition ◽  
Automatic Measurement ◽  
Lidar Data ◽  
3D Point Cloud ◽  
Terrestrial Lidar ◽  
Single Tree ◽  
Depth Images ◽  
Bark Texture

Due to the increasing use of the Terrestrial LiDAR Scanning (TLS also called T-LiDAR) technology in the forestry domain, many researchers and forest management organizations have developed several algorithms for the automatic measurement of forest inventory attributes. However, to the best of our knowledge not much has been done regarding single tree species recognition based on T-LiDAR data despite its importance for the assessment of the forestry resource. In this paper, we propose to put the light on the few works reported in the literature. The various algorithms presented in this paper uses the bark texture criteria and can be categorized into three families of approaches: those how combine T-LiDAR technology and photogrammetry, those based on depth images generated from T-LiDAR data and those based on raw 3D point cloud.

scholarly journals Genome-wide association studies of bark texture in Populus trichocarpa

2019 ◽  
Vol 15 (1) ◽  
Author(s):  
Roba Bdeir ◽  
Wellington Muchero ◽  
Yordan Yordanov ◽  
Gerald A. Tuskan ◽  
Victor Busov ◽  
...  
Keyword(s):  
Association Studies ◽  
Populus Trichocarpa ◽  
Genome Wide Association ◽  
Genome Wide Association Studies ◽  
Genome Wide ◽  
Bark Texture

Genotype variation in bark texture drives lichen community assembly across multiple environments

Ecology ◽  
2015 ◽  
Vol 96 (4) ◽  
pp. 960-971 ◽  
Author(s):  
L. J. Lamit ◽  
M. K. Lau ◽  
R. Reese Næsborg ◽  
T. Wojtowicz ◽  
T. G. Whitham ◽  
...  
Keyword(s):  
Community Assembly ◽  
Lichen Community ◽  
Genotype Variation ◽  
Multiple Environments ◽  
Bark Texture

Effect of gap harvesting on epiphytes and bark-dwelling arthropods in the Acadian forest of central Maine

2007 ◽  
Vol 37 (11) ◽  
pp. 2175-2187 ◽  
Author(s):  
Kathryn M. Miller ◽  
Robert G. Wagner ◽  
Stephen A. Woods
Keyword(s):  
Canonical Correlation ◽  
Acer Rubrum ◽  
Positive Association ◽  
Stem Bark ◽  
Red Maple ◽  
Arthropod Communities ◽  
Undisturbed Forest ◽  
Bark Texture ◽  
The Relationship

Using a long-term silvicultural experiment, we (i) investigated how epiphyte and arthropod communities were affected by height on the stem, bark texture, and stem diameter of red maple ( Acer rubrum L.) trees, (ii) examined how harvest gaps influenced epiphyte and arthropod communities on red maple boles, and (iii) explored whether these effects influenced the relationship between the epiphyte and arthropod communities. Arthropod and epiphyte assemblages dwelling on the bark of red maple trees located in undisturbed forest and harvest gaps varied with height. Bryophytes, Cladonia spp., and cyanolichens were most abundant near the base of the tree, while noncyano, foliose lichens and fruticose lichens were most abundant 4–6 m above the ground. Acari, Araneae, and Collembola were most abundant near the base of the tree, while Diptera were most abundant above 2 m. A previously undocumented assemblage of dipterans (flies), primarily in the suborder Nematocera, was found. Gap harvesting reduced the abundance of bryophytes, Collembola (springtails), Araneae (spiders), and total arthropods on the bark of red maple. Canonical correlation analysis revealed a positive association between bryophytes, Collembola, and Araneae. A strong correlation between Collembola and Araneae suggested a possible trophic interaction that may be affected by gap harvesting through a reduction in bryophyte abundance.

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