3D modelling of forest canopy structure for remote sensing simulations in the optical and microwave domains

Disney, Mathias; Lewis, P.; Saich, P.

doi:10.1016/j.rse.2005.10.003

Cited by 152 publications

(72 citation statements)

References 66 publications

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“…This was done for controlled testing and validation of the method. The 3D structural tree model used here represents a 30-year-old Scots pine tree (see Figure 1 in this paper and Figure 4 in [28]). The model is generated using an empirical growth model parametrized by species-dependent branching statistics in conjunction with specified external environmental conditions [29].…”

Section: Data: Point Cloudsmentioning

confidence: 99%

“…The model is generated using an empirical growth model parametrized by species-dependent branching statistics in conjunction with specified external environmental conditions [29]. TLS point clouds were simulated using the Monte Carlo ray-tracing code which has been used for a wide range of applications [28,[30][31][32]. Simulation parameters were the same as in the scanner used in the measurements (see above).…”

Section: Data: Point Cloudsmentioning

confidence: 99%

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Fast Automatic Precision Tree Models from Terrestrial Laser Scanner Data

et al. 2013

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This paper presents a new method for constructing quickly and automatically precision tree models from point clouds of the trunk and branches obtained by terrestrial laser scanning. The input of the method is a point cloud of a single tree scanned from multiple positions. The surface of the visible parts of the tree is robustly reconstructed by making a flexible cylinder model of the tree. The thorough quantitative model records also the topological branching structure. In this paper, every major step of the whole model reconstruction process, from the input to the finished model, is presented in detail. The model is constructed by a local approach in which the point cloud is covered with small sets corresponding to connected surface patches in the tree surface. The neighbor-relations and geometrical properties of these cover sets are used to reconstruct the details of the tree and, step by step, the whole tree. The point cloud and the sets are segmented into branches, after which the branches are modeled as collections of cylinders. From the model, the branching structure and size properties, such as volume and branch size distributions, for the whole tree or some of its parts, can be approximated. The approach is validated using both measured and modeled terrestrial laser scanner data from real trees and detailed 3D models. The results Remote Sens. 2013, 5 492 show that the method allows an easy extraction of various tree attributes from terrestrial or mobile laser scanning point clouds.

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Section: Data: Point Cloudsmentioning

confidence: 99%

Section: Data: Point Cloudsmentioning

confidence: 99%

Fast Automatic Precision Tree Models from Terrestrial Laser Scanner Data

et al. 2013

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“…The canopy absorption and scattering coefficients, therefore, describe intrinsic canopy properties that determine the partitioning of the incident radiation into its absorbed and canopy leaving portions. One of the uses of these properties is in the interpretation of data acquired by spectroradiometers of different spectral bands and different resolutions (Disney et al, 2006;Knyazikhin et al, 1998; …”

Section: Canopy Spectral Invariant For Interaction Coefficientmentioning

confidence: 99%

Canopy spectral invariants for remote sensing and model applications

Huang

Knyazikhin

Dickinson

et al. 2007

Remote Sensing of Environment

137

109

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“…Increasingly, physically-based radiative transfer models of vegetation canopies have been used to constrain retrieval of land surface biophysical parameters, either by direct inversion or use in algorithm development. For lidar, radiative transfer models have been developed originally for atmospheric simulation (Platt, 1981), and recently several models have been developed for vegetation canopies which treat the light interaction at various degrees of complexity (Govaerts and Verstraete, 1998;Ni-Meister et al, 2001;Kotchenova et al, 2003;Disney et al, 2006).…”

Section: Introductionmentioning

confidence: 99%

A Monte Carlo radiative transfer model of satellite waveform LiDAR

North

Rosette

Suárez

et al. 2010

International Journal of Remote Sensing

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We present a method and initial results for a model of the interaction of waveform lidar with a three-dimensional canopy representation. The model is developed from the FLIGHT radiative transfer model (North, 1996), based on Monte Carlo simulation of photon transport. Foliage is represented by structural properties of leaf area, leaf angle distribution (LAD), crown dimensions and fractional cover, and the optical properties of leaves, branch, shoot and ground components. Important characteristics of the model are that it can represent multiple scattering of light within the canopy and with the ground surface, simulate the return signal efficiently at multiple wavebands, and model the effects of topography. Spatial and temporal sampling characteristics of the lidar instrument are explicitly modelled. A sensitivity analysis gives expected effects of canopy parameters on the waveform, and indicates potential for retrieval of the canopy properties of fractional cover and leaf area, in addition to height.

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3D modelling of forest canopy structure for remote sensing simulations in the optical and microwave domains

Cited by 152 publications

References 66 publications

Fast Automatic Precision Tree Models from Terrestrial Laser Scanner Data

Fast Automatic Precision Tree Models from Terrestrial Laser Scanner Data

Canopy spectral invariants for remote sensing and model applications

A Monte Carlo radiative transfer model of satellite waveform LiDAR

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