Trunk volume estimation of irregular shaped Populus euphratica riparian forest using TLS point cloud data and multivariate prediction models

Yusup, Asadilla; Halik, Ümüt; Keyimu, Maierdang; Aishan, Tayierjiang; Abliz, Abdulla; Dilixiati, Babierjiang; Wei, Jianxin

doi:10.1016/j.fecs.2022.100082

Cited by 6 publications

(2 citation statements)

References 57 publications

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“…Stem volume, which is closely related to tree biomass and carbon stock, is one of the most important forest features of forest inventory and carbon storage [1][2][3]. Accurate calculation of stem volume is the basis for reliable estimation of stand volume, forest biomass, and carbon storage [2,4].…”

Section: Introductionmentioning

confidence: 99%

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Volume Estimation of Stem Segments Based on a Tetrahedron Model Using Terrestrial Laser Scanning Data

You,

Chang,

Sun

et al. 2023

Remote Sensing

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Stem volume is a very important parameter in forestry inventory and carbon storage. The stem volume estimated by most existing methods deviates from its true value because the irregularity of the stem is usually overlooked. In this study, we propose a stem segment volume estimation based on the tetrahedron model using TLS data. First, the initial stem segment surface model, including the lower, upper, and outer triangular surface models, was gradually reconstructed. Next, the outer surface model was subdivided based on the edge subdivision. Then, a closed triangular surface model without self-intersection was obtained. Afterward, a tetrahedron model of the stem segment was generated using TetGen software (Version 1.6.0) for the triangular surface model. Finally, the stem segment volume was calculated by summing the volumes of all the tetrahedrons in the tetrahedron model. An experiment with 76 stem segments from different tree species with different parameters showed that the reconstructed stem segment surface model effectively reflected the geometrical features of the stem segment surface. Compared to the volume based on the simulated sectional measurement, the MAPE of the volume based on the tetrahedron model was 2.12%. The results demonstrated the validity of the presented method for stem surface reconstruction and stem volume estimation, and the volume based on the tetrahedron model was closer to the true value than that based on the sectional measurement.

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Section: Introductionmentioning

confidence: 99%

“…(c) Regular geometry model: Ref. [2] estimated the stem volume of Euphrates poplar (Populus euphratica) by a definite integration using a stem diameter retrieved by a Hough transform at every 10 cm along the stem from TLS, and established a stem volume regression model represented by DBH, height, and basal area. Ref.…”

Section: Introductionmentioning

confidence: 99%

Volume Estimation of Stem Segments Based on a Tetrahedron Model Using Terrestrial Laser Scanning Data

You,

Chang,

Sun

et al. 2023

Remote Sensing

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Dynamic changes in stand structure, diversity, and stability of desert riparian forests in Northwestern China over nearly 20 years

Ma,

Halik,

Eziz

et al. 2024

J. For. Res.

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A Review of Software Solutions to Process Ground-based Point Clouds in Forest Applications

Murtiyoso,

Cabo,

Singh

et al. 2024

Curr. For. Rep.

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Purpose of Review In recent years, the use of 3D point clouds in silviculture and forest ecology has seen a large increase in interest. With the development of novel 3D capture technologies, such as laser scanning, an increasing number of algorithms have been developed in parallel to process 3D point cloud data into more tangible results for forestry applications. From this variety of available algorithms, it can be challenging for users to decide which to apply to fulfil their goals best. Here, we present an extensive overview of point cloud acquisition and processing tools as well as their outputs for precision forestry. We then provide a comprehensive database of 24 algorithms for processing forest point clouds obtained using close-range techniques, specifically ground-based platforms. Recent Findings Of the 24 solutions identified, 20 are open-source, two are free software, and the remaining two are commercial products. The compiled database of solutions, along with the corresponding technical guides on installation and general use, is accessible on a web-based platform as part of the COST Action 3DForEcoTech. The database may serve the community as a single source of information to select a specific software/algorithm that works for their requirements. Summary We conclude that the development of various algorithms for processing point clouds offers powerful tools that can considerably impact forest inventories in the future, although we note the necessity of creating a standardisation paradigm.

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Trunk volume estimation of irregular shaped Populus euphratica riparian forest using TLS point cloud data and multivariate prediction models

Cited by 6 publications

References 57 publications

Volume Estimation of Stem Segments Based on a Tetrahedron Model Using Terrestrial Laser Scanning Data

Volume Estimation of Stem Segments Based on a Tetrahedron Model Using Terrestrial Laser Scanning Data

Dynamic changes in stand structure, diversity, and stability of desert riparian forests in Northwestern China over nearly 20 years

A Review of Software Solutions to Process Ground-based Point Clouds in Forest Applications

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