3D tree modeling from incomplete point clouds via optimization and <i>L</i><sub>1</sub>-MST

Mei, Jie; Zhang, Liqiang; Wu, Shihao; Wang, Zhen; Zhang, Liang

doi:10.1080/13658816.2016.1264075

Cited by 53 publications

(44 citation statements)

References 24 publications

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“…For about a decade, a growing number of studies have been using three‐dimensional points clouds of trees from Terrestrial Laser Scanning (TLS) technology to estimate above‐ground tree volume (e.g. Bournez, Landes, Saudreau, Kastendeuch, & Najjar, ; Calders et al., ; Côté, Fournier, & Egli, ; Hackenberg, Morhart, Sheppard, Spiecker, & Disney, ; Hackenberg, Spiecker, Calders, Disney, & Raumonen, ; Hackenberg, Wassenberg, Spiecker, & Sun, ; Mei, Zhang, Wu, Wang, & Zhang, ; Raumonen et al., ; Tansey, Selmes, Anstee, Tate, & Denniss, ) based on a variety of tree reconstruction methods like the Quantitative Structure Model (QSM) and Outer Hull Model (Stovall, Vorster, Anderson, Evangelista, & Shugart, ). Tree models volume and derived AGB estimates usually correlates well with validation data (Table ).…”

Section: Introductionmentioning

confidence: 99%

Using terrestrial laser scanning data to estimate large tropical trees biomass and calibrate allometric models: A comparison with traditional destructive approach

et al. 2017

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Calibration of local, regional or global allometric equations to estimate biomass at the tree level constitutes a significant burden on projects aiming at reducing Carbon emissions from forest degradation and deforestation. The objective of this contribution is to assess the precision and accuracy of Terrestrial Laser Scanning (TLS) for estimating volumes and above‐ground biomass (AGB) of the woody parts of tropical trees, and for the calibration of allometric models. We used a destructive dataset of 61 trees, with diameters and AGB of up to 186.6 cm and 60 Mg respectively, which were scanned, felled and weighed in the semi‐deciduous forests of eastern Cameroon. We present an operational approach based on available software allowing the retrieving of TLS volume with low bias and high accuracy for large tropical trees. Edition of the obtained models proved necessary, mainly to account for the complexity of buttressed parts of tree trunks, which were separately modelled through a meshing approach, and to bring a few corrections in the topology and geometry of branches, thanks to the amapstudio‐scan software. Over the entire dataset, TLS‐derived volumes proved highly reliable for branches larger than 5 cm in diameter. The volumes of the remaining woody parts estimated for stumps, stems and crowns as well as for the whole tree proved very accurate (RMSE below 2.81% and R² above of .98) and unbiased. Once converted into AGB using mean local‐specific wood density values, TLS estimates allowed calibrating a biomass allometric model with coefficients statistically undistinguishable from those of a model based on destructive data. The Unedited Quantitative Structure Model (QSM) however leads to systematic overestimations of woody volumes and subsequently to significantly different allometric parameters. We can therefore conclude that a non‐destructive TLS approach can now be used as an operational alternative to traditional destructive sampling to build the allometric equations, although attention must be paid to the quality of QSM model adjustments to avoid systematic bias.

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Section: Introductionmentioning

confidence: 99%

Using terrestrial laser scanning data to estimate large tropical trees biomass and calibrate allometric models: A comparison with traditional destructive approach

et al. 2017

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“…Finally, the terrestrial laser scanning technique seems to be the most adequate solution since Terrestrial Laser Scanning (TLS) allows a fast and accurate acquisition of dense point clouds (van Leeuwen and Nieuwenhuis, 2010). Moreover, a dense point cloud can now be associated with efficient reconstruction methods of the crown branching structure (Boudon et al, 2014;Mei et al, 2017) and foliage characteristics (Béland et al, 2011).…”

Section: 3d Tree Reconstructionmentioning

confidence: 99%

Sensitivity of simulated light interception and tree transpiration to the level of detail of 3D tree reconstructions

Bournez

Landes

Najjar

et al. 2019

Urban Forestry & Urban Greening

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 3D reconstruction of trees can be performed using terrestrial laser scanner data.  The ideal level of detail can be validated thanks to a reference mock-up.  The RATP model can simulate tree transpiration rates from 3D tree mock-ups.  Promising results can be obtained with two different tree mock-ups.  Three main characteristics appear essential for accurate transpiration simulation.

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“…A number of studies have proposed algorithms to model the 3D structure of teees by skeletonization, either for the purpose of phenotyping or for computer graphics. In Livny et al [55] and Mei et al [56] skeletonization of point clouds of trees obtained by terrestrial LiDAR scanning was performed, not to build an accurate 3D representation of the trees for phenotyping, but to generate models of trees with a credible visual appearance for computer graphics. Despite this different perspective, both provide skeletonization methods which should also be suitable for plant phenotyping, when excluding the processing steps which only serve to enhance the visual appearance of the 3D models.…”

Section: Skeletonizationmentioning

confidence: 99%

How to make sense of 3D representations for plant phenotyping: a compendium of processing and analysis techniques

Vandenberghe¹,

Depuydt²,

Messem³

2018

Preprint

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Machine vision technology is moving more and more towards a three-dimensional approach, and plant phenotyping is following this trend. However, despite its potential, the complexity of the analysis of 3D representations has been the main bottleneck hindering the wider deployment of 3D plant phenotyping. In this review we provide an overview of typical steps for the processing and analysis of 3D representations of plants, to offer potential users of 3D phenotyping a first gateway into its application, and to stimulate its further development. We focus on plant phenotyping applications where the goal is to measure characteristics of single plants or crop canopies on a small scale in research settings, as opposed to large scale crop monitoring in the field.

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3D tree modeling from incomplete point clouds via optimization and L₁-MST

Cited by 53 publications

References 24 publications

Using terrestrial laser scanning data to estimate large tropical trees biomass and calibrate allometric models: A comparison with traditional destructive approach

Using terrestrial laser scanning data to estimate large tropical trees biomass and calibrate allometric models: A comparison with traditional destructive approach

Sensitivity of simulated light interception and tree transpiration to the level of detail of 3D tree reconstructions

How to make sense of 3D representations for plant phenotyping: a compendium of processing and analysis techniques

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3D tree modeling from incomplete point clouds via optimization and L1-MST

Cited by 53 publications

References 24 publications

Using terrestrial laser scanning data to estimate large tropical trees biomass and calibrate allometric models: A comparison with traditional destructive approach

Using terrestrial laser scanning data to estimate large tropical trees biomass and calibrate allometric models: A comparison with traditional destructive approach

Sensitivity of simulated light interception and tree transpiration to the level of detail of 3D tree reconstructions

How to make sense of 3D representations for plant phenotyping: a compendium of processing and analysis techniques

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3D tree modeling from incomplete point clouds via optimization and L₁-MST