The structural and radiative consistency of three-dimensional tree reconstructions from terrestrial lidar

By Jean-François Côté, J. Widlowski, Richard A. Fournier, Michel M. Verstraete. 2009

321 citations recorded by the source corpus.

A novel methodology is proposed to reconstruct 3D tree architectures from terrestrial LiDAR (TLiDAR) scans. The methodology is robust and relatively insensitive to wind- and occlusion-induced artefacts in the 3D TLiDAR point clouds. A quantitative evaluation of structural attributes, like the vertical foliage and wood area profiles, as well as the shoot orientation distribution, was performed. Due to the difficulties of acquiring reliable and accurate estimates of these parameters in the field, an original evaluation approach was chosen that reproduces the TLiDAR scanning and subsequent tree reconstruction process in a virtual environment. In a second step the reconstructed tree models were ingested in a validated 3D radiative transfer model to simulate both their reflectance signatures (observable by space borne instruments) and directional transmission properties (measurable during field campaigns) under various spectral, illumination and tree density scenarios. The results of these evaluations confirm the appropriateness of the proposed tree reconstruction model for the generation of structurally and radiatively faithful copies of existing plant and canopy architectures.

Subfields: Ecology, Environmental Engineering, Nature and Landscape Conservation

View Paper: https://www.semanticscholar.org/paper/23d4e3e5ba45a72e3fdad57dd7178219cd8ffa29

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In Ecology

In Environmental Engineering

In Nature and Landscape Conservation

Citations in the corpus

RAMI4PILPS: An intercomparison of formulations for the partitioning of solar radiation in land surface models (2011, methodology): “For example, the approach of Côté et al. [2009] enables the faithful reconstructions of individual tree architectures on the basis of terrestrial lidar scans.”
Fast Automatic Precision Tree Models from Terrestrial Laser Scanner Data (2013, background): “Skeletons can be defined also using a neighborhood graph and checking the connected components of the level sets of the graph [17,24].”
International benchmarking of terrestrial laser scanning approaches for forest inventories (2018, background): “The past two decades have witnessed steady progress in these types of studies (Henning and Radtke, 2006; Hosoi and Omasa, 2006; Lefsky and McHale, 2008; Maas et al., 2008; Strahler et al., 2008; Côté et al., 2009; Jupp et al., 2009; Tansey et al., 2009).”
Estimation of 3D vegetation density with Terrestrial Laser Scanning data using voxels. A sensitivity analysis of influencing parameters (2017, methodology): “Also, Côté et al. (2009), Côté et al. (2011), Hosoi et al. (2013), Hosoi and Omasa (2006) and Xu et al. (2007) used TLS scans in order to reconstruct trees or stands using the simulation of tree architecture (stem, branch, and foliar elements).”
Quantifying the impact of woody material on leaf area index estimation from hemispherical photography using 3D canopy simulations (2016, unknown): “New 67 developments with accurate 3D reconstruction of trees gives rise to another potential α 68 estimation method, e.g. (Calders et al., 2015; Côté et al., 2009; Raumonen et al., 2013).”
3-D voxel-based solid modeling of a broad-leaved tree for accurate volume estimation using portable scanning lidar (2013, methodology): “D point cloud data for parts occluded by other branches, surrounding trees, and understory) which causes estimates of tree structural properties to be inaccurate (Côté et al., 2009, 2011; Dassot et al., 2011; Delagrange and Rochon, 2011; Hosoi and Omasa, 2007).”