Timber Volume Increments in the Woodlots of Guadalcanal Island

2021 ◽  
pp. 253-277
Author(s):  
David Lopez Cornelio
Keyword(s):  
Timber Volume

Timber Volume in Nebraska, 1983

1984 ◽  
Author(s):  
Ronald L. Hackett
Keyword(s):  
Timber Volume

scholarly journals Investigation of Feller-Buncher Performance Using Weibull Distribution

Forests ◽  
2021 ◽  
Vol 12 (3) ◽  
pp. 284
Author(s):  
Ebru Bilici
Keyword(s):  
Weibull Distribution ◽  
Shape Parameter ◽  
B Value ◽  
Productivity Analysis ◽  
Volume Data ◽  
Estimation Model ◽  
Distribution Method ◽  
Timber Volume ◽  
C Value ◽  
The Right

With the advancement of technology in forestry, the utilization of advanced machines in forest operations has been increasing in the last decades. Due to their high operating costs, it is crucial to select the right machinery, which is mostly done by using productivity analysis. In this study, a productivity estimation model was developed in order to determine the timber volume cut per unit time for a feller-buncher. The Weibull distribution method was used to develop the productivity model. In the study, the model of the theoretical (estimated) volume distributions obtained with the Weibull probability density function was generated. It was found that the c value was 1.96 and the b value was 0.58 (i.e., b is the scale parameter, and c is the shape parameter). The model indicated that the frequency of the volume data had moved away from 0 as the shape parameter of the Weibull distribution increased. Thus, it was revealed that the shape parameter gives preliminary information about the distribution of the volume frequency. The consistency of the measured timber volume with the estimated timber volume strongly indicated that this approach can be effectively used by decision makers as a key tool to predict the productivity of a feller-buncher used in harvesting operations.

scholarly journals GEOSTATISTICAL MODELING OF TIMBER VOLUME SPATIAL VARIABILITY FOR Tectona grandis L. F. PRECISION FORESTRY

CERNE ◽  
2017 ◽  
Vol 23 (1) ◽  
pp. 115-122 ◽  
Author(s):  
Allan Libanio Pelissari ◽  
Marcelo Roveda ◽  
Sidney Fernando Caldeira ◽  
Carlos Roberto Sanquetta ◽  
Ana Paula Dalla Corte ◽  
...  
Keyword(s):  
Spatial Variability ◽  
Spatial Dependence ◽  
Tectona Grandis ◽  
Wood Products ◽  
Geostatistical Modeling ◽  
Timber Volume ◽  
Silvicultural Treatments ◽  
Punctual Kriging ◽  
Precision Forestry ◽  
Taper Models

ABSTRACT Considering the hypothesis that the wood volumes present spatial dependence, whose knowledge contributes for the precision forestry, the aim of this work was to estimate the volume spatial variability for timber assortments and identify their spatial patterns on Tectona grandis stands. A dataset of 1,038 trees was used to fit taper models and estimate the total stem, sawlog, and firewood volumes in 273 plots allocated on T. grandis stands at eight years old, which represents the second thinning that enables commercial volumes. Semivariograms models was applied to fit the spatial dependence, and punctual kriging was used to compose volume maps. Geostatistical modeling allowed us to estimate the T. grandis spatial variability and develop timber volume maps. Thus, silvicultural treatments, such as thinning and pruning, as well as for planning spatial interventions, are possible to be recommended for aimed wood products.

scholarly journals Species composition and growth performance of mangrove forest at the coast of Tanah Merah, East Nusa Tenggara

2020 ◽  
Vol 21 (12) ◽  
Author(s):  
Ronggo Sadono ◽  
DJOKO SOEPRIJADI ◽  
ARI SUSANTI ◽  
PANDU YUDHA ADI PUTRA WIRABUANA ◽  
Jeriels Matatula
Keyword(s):  
Species Composition ◽  
Growth Performance ◽  
Mangrove Forest ◽  
Life Stage ◽  
Average Height ◽  
Wood Biomass ◽  
Timber Volume ◽  
Mean Diameter ◽  
High Level ◽  
Important Value Index

The availability information about species composition and growth performance of mangrove forest are required to determine the best strategies for sustainable ecosystems management, particularly at the coastal area. This study aimed to quantify the number of species composition and growth performance of mangrove stand that established at the coast of Tanah Merah, East Nusa Tenggara. Forest inventory was conducted using nine permanent sampling plot which evenly distributed in every zonation of mangrove. Data were collected in each life stage of vegetation, namely seedling, sapling, pole, and tree. Several parameters were calculated to describe species composition, including important value index, richness, heterogeneity, and evenness. Four indicators were selected to assess the growth performance of mangrove stand in this location, i.e. mean diameter, average height, timber volume, and wood biomass. Results demonstrated the species composition of mangrove forest consisted of 9 different plants. The highest important value index of seedling was noted in A. marina (124.09) while the greatest important value index of sapling, pole, and tree were recorded in S. alba by approximately 86.57, 130.01, 118.58 respectively. This location had low level of richness (1.22) and heterogeneity (0.88) but having high level of evenness (0.99). The mean diameter and height of mangrove stand in this area was 15.2 cm and 8.3 m with an average timber volume and wood biomass around 90.7 m3 ha-1 and 65.1 Mg ha-1 respectively. Based on these findings, we suggested to conduct enrichment planting for improving plant biodiversity of mangrove forest at the coast of Tanah Merah.

scholarly journals Combination of Multi-Temporal Sentinel 2 Images and Aerial Image Based Canopy Height Models for Timber Volume Modelling

Forests ◽  
2019 ◽  
Vol 10 (9) ◽  
pp. 746 ◽  
Author(s):  
Johannes Schumacher ◽  
Margret Rattay ◽  
Melanie Kirchhöfer ◽  
Petra Adler ◽  
Gerald Kändler
Keyword(s):  
Forest Inventory ◽  
Point Clouds ◽  
Support Vector ◽  
Timber Volume ◽  
Volume Model ◽  
Broadleaf Tree ◽  
Multi Temporal ◽  
Conifer Trees ◽  
Volume Models ◽  
Sentinel 2

Multi-temporal Sentinel 2 optical images and 3D photogrammetric point clouds can be combined to enhance the accuracy of timber volume models on large spatial scale. Information on the proportion of broadleaf and conifer trees improves timber volume models obtained from 3D photogrammetric point clouds. However, the broadleaf-conifer information cannot be obtained from photogrammetric point clouds alone. Furthermore, spectral information of aerial images is too inconsistent to be used for automatic broadleaf-conifer classification over larger areas. In this study we combined multi-temporal Sentinel 2 optical satellite images, 3D photogrammetric point clouds from digital aerial stereo photographs, and forest inventory plots representing an area of 35,751 km2 in south-west Germany for (1) modelling the percentage of broadleaf tree volume (BL%) using Sentinel 2 time series and (2) modelling timber volume per hectare using 3D photogrammetric point clouds. Forest inventory plots were surveyed in the same years and regions as stereo photographs were acquired (2013–2017), resulting in 11,554 plots. Sentinel 2 images from 2016 and 2017 were corrected for topographic and atmospheric influences and combined with the same forest inventory plots. Spectral variables from corrected multi-temporal Sentinel 2 images were calculated, and Support Vector Machine (SVM) regressions were fitted for each Sentinel 2 scene estimating the BL% for corresponding inventory plots. Variables from the photogrammetric point clouds were calculated for each inventory plot and a non-linear regression model predicting timber volume per hectare was fitted. Each SVM regression and the timber volume model were evaluated using ten-fold cross-validation (CV). The SVM regression models estimating the BL% per Sentinel 2 scene achieved overall accuracies of 68%–75% and a Root Mean Squared Error (RMSE) of 21.5–26.1. The timber volume model showed a RMSE% of 31.7%, a mean bias of 0.2%, and a pseudo-R2 of 0.64. Application of the SVM regressions on Sentinel 2 scenes covering the state of Baden-Württemberg resulted in predictions of broadleaf tree percentages for the entire state. These predicted values were used as additional predictor in the timber volume model, allowing for predictions of timber volume for the same area. Spatially high-resolution information about growing stock is of great practical relevance for forest management planning, especially when the timber volume of a smaller unit is of interest, for example of a forest stand or a forest district where not enough terrestrial inventory plots are available to make reliable estimations. Here, predictions from remote-sensing based models can be used. Furthermore, information about broadleaf and conifer trees improves timber volume models and reduces model errors and, thereby, prediction uncertainties.

Merchantable timber volume estimation using cross-sectional photogrammetric and densitometric methods

1984 ◽  
Vol 14 (6) ◽  
pp. 803-810 ◽  
Author(s):  
Gordon A. Maclean ◽  
George L. Martin
Keyword(s):  
Volume Estimation ◽  
Aerial Photographs ◽  
Volume Data ◽  
High Precision Measurement ◽  
Cross Sectional ◽  
Timber Volume ◽  
Film Density ◽  
Density Values ◽  
Independent Variable ◽  
Profile Area

A procedure is described for estimating timber volume from high-precision measurement of the cross-sectional area of a canopy profile on medium-scale vertical aerial photographs. Timber volume data were obtained from 75 data points in a study area containing several forest types, and canopy profile areas were measured with a stereoplotter at the corresponding points on the aerial photographs. Film density values were also measured along each profile using a scanning microdensitometer. Canopy profile area was found to be independent of the direction of the profile relative to the flight line of the photography. The relation between timber volume and profile area was found to be highly significant, semilogarithmic, and species dependent, with regression R2 values ranging from 0.67 to 0.79. The area under a curve obtained by plotting film density values is not sufficiently correlated with timber volume to be a significant independent variable, either alone or with profile area. However, film density information was found to be of significant value in correcting the profile areas for canopy microopenings too small to be measured with a stereoplotter. With the area of microopenings included as a separate independent variable, regression R2 values range from 0.82 to 0.88.

scholarly journals Yield and crown structure characteristics in a black locust (Robinia pseudoacacia L.) stand: A case study – Short Communication

2018 ◽  
Vol 64 (No. 2) ◽  
pp. 96-100 ◽  
Author(s):  
Rédei Károly ◽  
Bakti Beatrix ◽  
Kiss Tamás ◽  
Takács Marianna ◽  
Keserű Zsolt
Keyword(s):  
Black Locust ◽  
Robinia Pseudoacacia ◽  
Tree Height ◽  
Class Iii ◽  
Timber Volume ◽  
Crown Diameter ◽  
Crown Length ◽  
Linear Relationships ◽  
The Mean ◽  
Robinia Pseudoacacia L

The paper provides the results of a detailed analysis of timber volume and the most important crown variables of black locust (Robinia pseudoacacia Linnaeus) based on an experimental plot in southern Hungary. At the age of 20 years the crop trees belonged to different height classes. If the volume of the mean tree from height class I is considered as 100%, the volume of the mean tree of class II is 44.0%, and the mean tree of class III is only 30.3%. In case of timber volume per 1 m<sup>2</sup> crown surface, the values are 72.9 and 61.7%. The DBH of trees showed a positive linear correlation with crown diameter (r = 0.942). Additionally, there were also positive linear relationships between crown diameter and volume (r = 0.901), between crown length and volume (r = 0.721) as well as tree height and crown length (r = 0.661). The variation of crown indices is height even within the same stand and indicates the importance of following a selective thinning operation method.

Reducing sample size through the use of a composite estimator: an application to timber volume estimation

1986 ◽  
Vol 16 (5) ◽  
pp. 1116-1118 ◽  
Author(s):  
Edwin J. Green ◽  
William E. Strawderman
Keyword(s):  
Sample Size ◽  
Prior Knowledge ◽  
Prior Information ◽  
Volume Estimation ◽  
Timber Volume ◽  
Percent Error ◽  
Sample Information ◽  
Sample Data ◽  
Composite Estimator

A method for determining the appropriate sample size to produce an estimate with a stated allowable percent error when the sample data is to be combined with prior information is presented. Application of the method in the case where the objective is to estimate volume per acre and prior knowledge is represented by a yield equation demonstrates that this method can reduce the amount of sample information that would be required if the yield equation were to be ignored.

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