A Visual Simulation Study for an Individual Tree Based on OpenGL: Mongolian Scots Pine Plantations

2011 ◽  
Author(s):  
Lingbo Dong ◽  
Zhaogang Liu ◽  
Chao Li
Keyword(s):  
Scots Pine ◽  
Simulation Study ◽  
Pine Plantations ◽  
Visual Simulation ◽  
Individual Tree

Estimating individual tree leaf area in loblolly pine plantations using LiDAR-derived measurements of height and crown dimensions

2005 ◽  
Vol 213 (1-3) ◽  
pp. 54-70 ◽  
Author(s):  
Scott D. Roberts ◽  
Thomas J. Dean ◽  
David L. Evans ◽  
John W. McCombs ◽  
Richard L. Harrington ◽  
...  
Keyword(s):  
Leaf Area ◽  
Loblolly Pine ◽  
Pine Plantations ◽  
Individual Tree ◽  
Tree Leaf ◽  
Crown Dimensions

scholarly journals Individual tree and stand-level carbon and nutrient contents across one rotation of loblolly pine plantations on a reclaimed surface mine

New Forests ◽  
2018 ◽  
Vol 50 (5) ◽  
pp. 733-753 ◽  
Author(s):  
Hannah Z. Angel ◽  
Jeremy S. Priest ◽  
Jeremy P. Stovall ◽  
Brian P. Oswald ◽  
Yuhui Weng ◽  
...  
Keyword(s):  
Loblolly Pine ◽  
Pine Plantations ◽  
Individual Tree ◽  
Surface Mine ◽  
Nutrient Contents

Fertilized Midrotation-Aged Slash Pine Plantations—Stand Structure and Yield Prediction Models

1989 ◽  
Vol 13 (2) ◽  
pp. 76-80 ◽  
Author(s):  
Robert L. Bailey ◽  
Thomas M. Burgan ◽  
Eric J. Jokela
Keyword(s):  
Prediction Models ◽  
Stand Structure ◽  
Basal Area ◽  
Slash Pine ◽  
Pine Plantations ◽  
Individual Tree ◽  
Investment Opportunities ◽  
User Friendly ◽  
Volume Equations ◽  
Soil Groups

Abstract Data from 263 plots in a regional fertilization study of midrotation-aged slash pine plantations were used to fit prediction equations for basal area, trees per acre, stand average dominant height, diameter distributions, and individual tree heights. The equations include N and P fertilizationrates and CRIFF soil groups as predictor variables. The survival model also accounts for the accelerating effect of fusiform rust on mortality rate. Using published tree volume equations, the prediction of volumes by dbh class for fertilized slash pine plantations is now possible. This integratedsystem of equations is available as a user-friendly computer program that can calculate expected yields by diameter class and aid the forester in evaluating investment opportunities that include forest fertilization. South. J. Appl. For. 13(2):76-80.

scholarly journals Do individual-tree growth models correctly represent height:diameter ratios of Norway spruce and Scots pine?

2010 ◽  
Vol 260 (10) ◽  
pp. 1735-1753 ◽  
Author(s):  
Sonja Vospernik ◽  
Robert A. Monserud ◽  
Hubert Sterba
Keyword(s):  
Norway Spruce ◽  
Scots Pine ◽  
Tree Growth ◽  
Growth Models ◽  
Individual Tree ◽  
Individual Tree Growth

scholarly journals Individual Tree Crown Segmentation and Classification of 13 Tree Species Using Airborne Hyperspectral Data

2018 ◽  
Vol 10 (8) ◽  
pp. 1218 ◽  
Author(s):  
Julia Maschler ◽  
Clement Atzberger ◽  
Markus Immitzer
Keyword(s):  
Random Forest ◽  
Scots Pine ◽  
Tree Species ◽  
Near Infrared ◽  
Mean Shift ◽  
Hyperspectral Data ◽  
Tree Crown ◽  
Individual Tree ◽  
Tree Crowns

Knowledge of the distribution of tree species within a forest is key for multiple economic and ecological applications. This information is traditionally acquired through time-consuming and thereby expensive field work. Our study evaluates the suitability of a visible to near-infrared (VNIR) hyperspectral dataset with a spatial resolution of 0.4 m for the classification of 13 tree species (8 broadleaf, 5 coniferous) on an individual tree crown level in the UNESCO Biosphere Reserve ‘Wienerwald’, a temperate Austrian forest. The study also assesses the automation potential for the delineation of tree crowns using a mean shift segmentation algorithm in order to permit model application over large areas. Object-based Random Forest classification was carried out on variables that were derived from 699 manually delineated as well as automatically segmented reference trees. The models were trained separately for two strata: small and/or conifer stands and high broadleaf forests. The two strata were delineated beforehand using CHM-based tree height and NDVI. The predictor variables encompassed spectral reflectance, vegetation indices, textural metrics and principal components. After feature selection, the overall classification accuracy (OA) of the classification based on manual delineations of the 13 tree species was 91.7% (Cohen’s kappa (κ) = 0.909). The highest user’s and producer’s accuracies were most frequently obtained for Weymouth pine and Scots Pine, while European ash was most often associated with the lowest accuracies. The classification that was based on mean shift segmentation yielded similarly good results (OA = 89.4% κ = 0.883). Based on the automatically segmented trees, the Random Forest models were also applied to the whole study site (1050 ha). The resulting tree map of the study area confirmed a high abundance of European beech (58%) with smaller amounts of oak (6%) and Scots pine (5%). We conclude that highly accurate tree species classifications can be obtained from hyperspectral data covering the visible and near-infrared parts of the electromagnetic spectrum. Our results also indicate a high automation potential of the method, as the results from the automatically segmented tree crowns were similar to those that were obtained for the manually delineated tree crowns.

GLAZE DAMAGE IN RED AND SCOTS PINE PLANTATIONS IN SOUTHEASTERN MANITOBA

1961 ◽  
Vol 37 (1) ◽  
pp. 16-21 ◽  
Author(s):  
J. H. Cayford ◽  
R. A. Haig
Keyword(s):  
Scots Pine ◽  
Red Pine ◽  
Pine Plantations ◽  
Ice Storm ◽  
Forest Reserve ◽  
Permanent Damage

In November 1958, an ice storm caused severe bending of stems in young red and Scots pine plantations on the Sandilands Forest Reserve in southeastern Manitoba. A study was carried out to investigate the recovery of bent trees and to determine the extent of permanent damage in the plantations.Between 50 and 100 per cent of the trees in young red pine plantations were bent so severely that their tops were touching the ground. Scots pine plantations were less severely affected. However, both species showed considerable recovery and little or no permanent damage has occurred in plantations younger than 14 or older than 25 years of age. Approximately one quarter of the trees growing in two dense red pine plantations, 16 and 22 years of age, were judged to have been permanently damaged.

The influence of fertilizers on the occurrence of Armillaria mellea in Scots pine plantations.

1981 ◽  
Vol 11 (1-2) ◽  
pp. 108-119 ◽  
Author(s):  
K. Rykowski
Keyword(s):  
Scots Pine ◽  
Pine Plantations ◽  
Armillaria Mellea

Individual tree models for the crown biomass distribution of Scots pine, Norway spruce and birch in Finland

2008 ◽  
Vol 255 (3-4) ◽  
pp. 455-467 ◽  
Author(s):  
Timo Tahvanainen ◽  
Eero Forss
Keyword(s):  
Norway Spruce ◽  
Scots Pine ◽  
Biomass Distribution ◽  
Individual Tree ◽  
Tree Models ◽  
Crown Biomass

scholarly journals Determining an Accurate and Cost-Effective Individual Height-Diameter Model for Mongolian Pine on Sandy Land

Forests ◽  
2021 ◽  
Vol 12 (9) ◽  
pp. 1144
Author(s):  
Yangang Han ◽  
Zeyong Lei ◽  
Albert Ciceu ◽  
Yanping Zhou ◽  
Fengyan Zhou ◽  
...  
Keyword(s):  
Management Practice ◽  
Predictor Variable ◽  
Tree Height ◽  
Cost Effective ◽  
Northern China ◽  
Mixed Effects ◽  
Pine Plantations ◽  
Sampling Effort ◽  
Individual Tree ◽  
D Model

Height-diameter (H-D) models are important tools for forest management practice. Sandy Mongolian pine plantations (Pinus sylvestris var. mongolica) are a major component of the Three-North Afforestation Shelterbelt in Northern China. However, few H-D models are available for Mongolian pine plantations. In this paper we compared different equations found in the literature for predicting tree height, using diameter at breast height and additional stand-level predictor variables. We tested if the additional stand-level predictor variable is necessary to produce more accurate results. The dominant height was used as a stand-level predictor variable to describe the variation of the H-D relationship among plots. We found that the basic mixed-effects H-D model provided a similar predictive accuracy as the generalized mixed-effects H-D model. Moreover, it had the advantage of reducing the sampling effort. The basic mixed-effects H-D model calibration, in which the heights of the two thickest trees in the plot were included to calibrate the random effects, resulted in accurate and reliable individual tree height estimations. Thus, the basic mixed-effects H-D model with the above-described calibration design can be an accurate and cost-effective solution for estimating the heights of Mongolian pine trees in northern China.

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