Data collection methods for forest inventory: a comparison between an integrated conventional equipment and terrestrial laser scanning

Apostol, Bogdan Felix; Chivulescu, Șerban; Ciceu, Albert; Petrila, Marius; Pascu, Ionuț-Silviu; Apostol, Ecaterina Nicoleta; Leca, Ştefan; Lorenţ, Adrian; Tanase, Mihai A.; Badea, Ovidiu

doi:10.15287/afr.2018.1189

Cited by 8 publications

(6 citation statements)

References 23 publications

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“…Although the forest enterprise was managed by the even-aged system (GDF, 2006b), both small-and large-sized trees coexisted on the plots. In another LiDAR study, Apostol et al (2018) obtained similar findings in the Southern Carpathians forests. They observed higher error rates in DBH within the stands that had higher coefficients of variation.…”

Section: Discussionsupporting

confidence: 57%

“…Therefore, easy data processing may be considered another advantage of HMLS compared to other LiDAR instruments. Many studies using TLS instruments, for instance, required high-tech workstations (Yurtseven et al, 2019, among others) or a long time period of up to 10 h (Apostol et al 2018). Considered with the necessary working time in the field-reaching more than one hour per plot in some cases-its operational use in an FI study is minimal, at least for now (Ryding et al, 2015;Oveland et al, 2018;Cabo et al, 2018).…”

Section: Discussionmentioning

confidence: 99%

“…Other limitations embedded within TLS are its weight as well as equipment acquisition cost. Therefore, it is neither a practical nor a cost-effective tool for FI purposes, as already reported by some researchers (Wulder et al, 2008;Ryding et al, 2015;Apostol et al, 2018). Nevertheless, recent studies have suggested that such difficulties could be overcome by using lightweight mobile laser scanning (MLS), an emerging technology in the world (Bauwens et al, 2016;Oveland et al, 2018).…”

Section: Introductionmentioning

confidence: 99%

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Application of handheld laser scanning technology for forest inventory purposes in the NE Turkey

Vatandaşlar¹,

Zeybek²

2020

Turk J Agric For

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Forest inventory (FI) is the most challenging stage of forest management and planning process. Therefore, in situ surveys are often reinforced by modern remote sensing (RS) methods for collecting forestry-related data more efficiently. This study tests a stateof-the-art data collection method for practical use in the Turkish FI system for the first time. To this end, forest sampling plots were conventionally measured to collect dendrometric data from 437 trees in Artvin and Saçınka Forest Enterprises. Then, each plot was scanned using a handheld mobile laser scanning (HMLS) instrument. Finally, HMLS data were compared against ground measurements via basic FI measures. Based on statistical tests, no apparent differences were found between the two datasets at the plot level (P < 0.05). There were also robust correlations for diameter breast height at individual tree level (r > 0.97; P < 0.01). Residual analysis showed that both positive and negative errors had a homogeneous distribution, except for plot 8 where tree stems were in irregular shapes due to anthropogenic pressures. When all plots' data were aggregated, average values for the number of trees, basal area, and timber volume were estimated as 535 trees/ha-1 , 49.6 m 2 /ha-1 , and 499.7 m 3 /ha-1 , respectively. Furthermore, secondary measures such as the number of saplings and slope were successfully retrieved using HMLS method. The highest overestimation was in timber volume with less than 10% difference at the landscape level. The differences were attributed to poor data quality of conventional measurements, as well as marginal site conditions in some plots. We concluded that the HMLS method met the accuracy standards for most FI measures, except for stand height. Thus, the Turkish FI system could benefit from this novel technology, which in turn supports the implementation of sound forest management and planning.

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Section: Discussionsupporting

confidence: 57%

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Application of handheld laser scanning technology for forest inventory purposes in the NE Turkey

Vatandaşlar¹,

Zeybek²

2020

Turk J Agric For

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“…Compared with other scanning studies on broadleaved species in Romania [11,12,38] the shape of the oaks is more complex than beech, with a more detailed level on branches especially due to the thickness, allowing a robust reconstruction of branch level even on level 6 or 7.…”

Section: Discussionmentioning

confidence: 99%

“…This type of input constitutes the foundation of precise modeling such as the national allometric models. With this latest technological advance, TLS has shown the possibility of improving the quality and quantity of the reference data collected in forest inventories [12]. It should be noted that TLS is a popular tool in forest ecology for measuring the leaf area index and the stem curve.…”

Section: Introductionmentioning

confidence: 99%

Tree Shape Variability in a Mixed Oak Forest Using Terrestrial Laser Technology: Implications for Mating System Analysis

Tomșa

Curtu

Niţă

2021

Forests

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The accuracy of the description regarding tree architecture is crucial for data processing. LiDAR technology is an efficient solution for capturing the characteristics of individual trees. The aim of the present study was to analyze tree shape variability in a mixed oak forest consisting of four European white oak species: Quercus petraea, Q. frainetto, Q. pubescens, and Q. robur. Moreover, we tested for association between tree shape and individual heterozygosity and whether oak trees identified as pollen donors in a previous genetic study have a larger size in terms of crown and trunk characteristics than non-donors. The woody structure of a tree was defined by the quantitative structure model (QSM) providing information about topology (branching structure), geometry, and volume. For extracting the 3D point clouds a high-speed 3D scanner (FARO FocusS 70) was used. The crown variables were strongly correlated to each other, the branch volume being influenced by branch length, maximum branch order, and the number of branches but not influenced by diameter at breast height (DBH), trunk length, trunk volume, or tree height. There was no relationship between the individual heterozygosity based on nuclear microsatellite genetic markers and crown and trunk characteristics, respectively. Branch volume, total area, DBH, trunk volume, and the total volume of tree were significantly larger in pollen donors compared to non-donor Q. petraea trees. Thus, the mean branch volume was more than three times higher. Pollen donors had nearly two and half times larger total area in comparison to non-donor individuals. Our results suggest that a thorough characterization of tree phenotype using terrestrial laser scanning may contribute to a better understanding of mating system patterns in oak forests.

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Challenges and Monitoring Methods of Forest Management Through Geospatial Application

Pandey¹,

Kumari²,

Dash³

et al. 2022

Advances in Remote Sensing for Forest Monitoring

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Data collection methods for forest inventory: a comparison between an integrated conventional equipment and terrestrial laser scanning

Abstract: Data collection methods for forest inventory: a comparison between an integrated conventional equipment and terrestrial laser scanning. Ann. For. Res. 61(2): 189-202.

Cited by 8 publications

References 23 publications

Application of handheld laser scanning technology for forest inventory purposes in the NE Turkey

Application of handheld laser scanning technology for forest inventory purposes in the NE Turkey

Tree Shape Variability in a Mixed Oak Forest Using Terrestrial Laser Technology: Implications for Mating System Analysis

Challenges and Monitoring Methods of Forest Management Through Geospatial Application

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