scholarly journals Estimating forest resources using airbone LiDAR-Application of model for estimating the stem volume of Sugi (Cryptomeria japonica D. Don) and Hinoki (Chamaecyparis obtusa Endl.) by the tree height and the parameter of crown-

2008 ◽  
Vol 47 (1) ◽  
pp. 26-35 ◽  
Author(s):  
Takuya ITOH ◽  
Keigo MATSUE ◽  
Kenji NAITO
Keyword(s):  
Cryptomeria Japonica ◽  
Tree Height ◽  
Chamaecyparis Obtusa ◽  
Forest Resources ◽  
Stem Volume

scholarly journals Comparison of interferometric and stereo-radargrammetric 3D metrics in mapping of forest resources

2015 ◽  
Vol XL-7/W3 ◽  
pp. 425-431
Author(s):  
K. Karila ◽  
M. Karjalainen ◽  
X. Yu ◽  
M. Vastaranta ◽  
M. Holopainen ◽  
...  
Keyword(s):  
Forest Inventory ◽  
Forest Canopy ◽  
Basal Area ◽  
Tree Height ◽  
Forest Resources ◽  
Canopy Height ◽  
Stem Diameter ◽  
Stem Volume ◽  
Test Plot ◽  
3D Data

Accurate forest resources maps are needed in diverse applications ranging from the local forest management to the global climate change research. In particular, it is important to have tools to map changes in forest resources, which helps us to understand the significance of the forest biomass changes in the global carbon cycle. In the task of mapping changes in forest resources for wide areas, Earth Observing satellites could play the key role. In 2013, an EU/FP7-Space funded project “Advanced_SAR” was started with the main objective to develop novel forest resources mapping methods based on the fusion of satellite based 3D measurements and in-situ field measurements of forests. During the summer 2014, an extensive field surveying campaign was carried out in the Evo test site, Southern Finland. Forest inventory attributes of mean tree height, basal area, mean stem diameter, stem volume, and biomass, were determined for 91 test plots having the size of 32 by 32 meters (1024 m<sup>2</sup>). Simultaneously, a comprehensive set of satellite and airborne data was collected. Satellite data also included a set of TanDEM-X (TDX) and TerraSAR-X (TSX) X-band synthetic aperture radar (SAR) images, suitable for interferometric and stereo-radargrammetric processing to extract 3D elevation data representing the forest canopy. In the present study, we compared the accuracy of TDX InSAR and TSX stereo-radargrammetric derived 3D metrics in forest inventory attribute prediction. First, 3D data were extracted from TDX and TSX images. Then, 3D data were processed as elevations above the ground surface (forest canopy height values) using an accurate Digital Terrain Model (DTM) based on airborne laser scanning survey. Finally, 3D metrics were calculated from the canopy height values for each test plot and the 3D metrics were compared with the field reference data. The Random Forest method was used in the forest inventory attributes prediction. Based on the results InSAR showed slightly better performance in forest attribute (i.e. mean tree height, basal area, mean stem diameter, stem volume, and biomass) prediction than stereo-radargrammetry. The results were 20.1% and 28.6% in relative root mean square error (RMSE) for biomass prediction, for TDX and TSX respectively.

scholarly journals Estimation of Genetic Parameters and Wood Yield Selection Index in a Clonal Trial of Korean Pine (Pinus koraiensis) in Northeastern China

2021 ◽  
Vol 13 (8) ◽  
pp. 4167
Author(s):  
David Kombi Kaviriri ◽  
Huan-Zhen Liu ◽  
Xi-Yang Zhao
Keyword(s):  
Selection Index ◽  
Tree Height ◽  
Stem Volume ◽  
Korean Pine ◽  
Branch Number ◽  
Basal Diameter ◽  
Diameter At Breast Height ◽  
Breast Height ◽  
Stem Straightness ◽  
Clonal Trial

In order to determine suitable traits for selecting high-wood-yield Korean pine materials, eleven morphological characteristics (tree height, basal diameter, diameter at breast height, diameter at 3 meter height, stem straightness degree, crown breadth, crown height, branch angle, branch number per node, bark thickness, and stem volume) were investigated in a 38-year-old Korean pine clonal trial at Naozhi orchard. A statistical approach combining variance and regression analysis was used to extract appropriate traits for selecting elite clones. Results of variance analysis showed significant difference in variance sources in most of the traits, except for the stem straightness degree, which had a p-value of 0.94. Moderate to high coefficients of variation and clonal repeatability ranged from 10.73% to 35.45% and from 0.06% to 0.78%, respectively. Strong significant correlations on the phenotypic and genotypic levels were observed between the straightness traits and tree volume, but crown breadth was weakly correlated to the volume. Four principal components retaining up to 80% of the total variation were extracted, and stem volume, basal diameter, diameter at breast height, diameter at 3 meter height, tree height, and crown height displayed high correlation to these components (r ranged from 0.76 to 0.98). Based on the Type III sum of squares, tree height, diameter at breast height, and branch number showed significant information to explain the clonal variability based on stem volume. Using the extracted characteristics as the selection index, six clones (PK105, PK59, PK104, PK36, PK28, and K101) displayed the highest Qi values, with a selection rate of 5% corresponding to the genetic gain of 42.96% in stem volume. This study provides beneficial information for the selection of multiple traits for genetically improved genotypes of Korean pine.

Estimating Pinus palustris tree diameter and stem volume from tree height, crown area and stand-level parameters

2014 ◽  
Vol 25 (1) ◽  
pp. 43-52 ◽  
Author(s):  
C. A. Gonzalez-Benecke ◽  
Salvador A. Gezan ◽  
Lisa J. Samuelson ◽  
Wendell P. Cropper ◽  
Daniel J. Leduc ◽  
...  
Keyword(s):  
Pinus Palustris ◽  
Tree Height ◽  
Stem Volume ◽  
Crown Area ◽  
Tree Diameter

scholarly journals A predictive nondestructive model for the covariation of tree height, diameter and stem volume scaling relationships

2016 ◽  
Vol 6 (1) ◽  
Author(s):  
Zhongrui Zhang ◽  
Quanlin Zhong ◽  
Karl J. Niklas ◽  
Liang Cai ◽  
Yusheng Yang ◽  
...  
Keyword(s):  
Tree Height ◽  
Stem Volume ◽  
Scaling Relationships

Effects of residual trees on tree height of 18- and 19-year-old Cryptomeria japonica planted in group selection openings

2006 ◽  
Vol 11 (4) ◽  
pp. 227-234 ◽  
Author(s):  
Kenichi Yamashita ◽  
Nobuya Mizoue ◽  
Satoshi Ito ◽  
Akio Inoue ◽  
Hideaki Kaga
Keyword(s):  
Cryptomeria Japonica ◽  
Group Selection ◽  
Tree Height
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