AmapSim: A Structural Whole-plant Simulator Based on Botanical Knowledge and Designed to Host External Functional Models

Barczi, Jean‐François; Rey, Hervé; Caraglio, Yves; Reffye, Philippe de; Barthélémy, Daniel; Dong, Qiao Xue; Fourcaud, Thierry

doi:10.1093/aob/mcm194

Cited by 79 publications

(44 citation statements)

References 41 publications

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“…The bending and straightening of axes is defined by their material elastic properties, i.e., the shape of an axis bends under simulated selfweight (cf. Barczi et al 2008Barczi et al , 1997.…”

Section: Geometry and Growthmentioning

confidence: 99%

Simulation of Multitemporal and Hyperspectral Vegetation Canopy Bidirectional Reflectance Using Detailed Virtual 3-D Canopy Models

Kuester

Spengler

Barczi

et al. 2014

IEEE Trans. Geosci. Remote Sensing

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The influence of plant and canopy architecture on canopy bidirectional reflectance and the BRDF is subject of this study. To understand BRDF-influenced reflectance signals, this influence must be identified and quantified, which requires detailed knowledge concerning the structure and BRDF of the observed canopies. BRDF measurements of in-situ canopies are time-consuming and depend on the availability of a field goniometer. In contrast to field measurements, computer based simulations of the canopy BRDF offer an alternative approach that considers parameter-driven setups of virtual canopies under constant illumination conditions. This paper presents the HySimCaR system, which has been developed in the context of the EnMAP mission. This spectral, spatial and temporal simulation system consists of detailed virtual 3D cereal canopies of different phenological stages, whose geometries are linked to corresponding spectral information. The system enables the simulation of realistic bidirectional reflectance spectra on the basis of virtual 3D scenarios by incorporating any possible viewing position with ray tracing techniques. The parameterization of a number of canopy structure parameters, such as phenological stage, row distance and row orientation, enables the modeling of the bidirectional reflectance and based on them the approximation of the BRDF for many structurally different cereal canopies. HySimCaR has been validated with respect to structural and spectral accuracy using three cereal types, including wheat, rye and barley, and 13 different phenological stages. The results show that the virtual cereal canopies are recreated in a realistic way, and it is possible to model their detailed canopy bidirectional reflectance and their BRDF using HySimCaR.

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Section: Geometry and Growthmentioning

confidence: 99%

Simulation of Multitemporal and Hyperspectral Vegetation Canopy Bidirectional Reflectance Using Detailed Virtual 3-D Canopy Models

Kuester

Spengler

Barczi

et al. 2014

IEEE Trans. Geosci. Remote Sensing

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“…Semi-spatially explicit models mixing tree and cohort distance-independent models on a landscape (with polygonal compartments and cells grids) have also been integrated (Goreaud et al 2005; Table 2, Ventoux). Growth models have been successfully integrated with other internal models like logging and wood quality models (Dreyfus and Bonnet 1997;de Coligny et al 2005; Table 2, Fagacees, NZ1, PP3), or external models like tree architecture simulation models (Barczi et al 2007; Table 2, Eucalypt, PP3) or forest wind risk models (Cucchi et al 2005; Table 2, PP3). The framework has also been completed with several general purpose libraries like genetics with genotype description Table 2, VentouG;Wernsdörfer et al 2009), spatial structure generation (Goreaud et al 2006; Table 2, Oakpine1), light interception (Courbaud et al 2003; Table 2, Mountain, Samsara, Regelight), tree biomechanics (Ancelin et al 2004; Table 2, Mountain) or economics (Orazio et al 2002;Table 2, PP3, Regix).…”

Section: Models and Usagementioning

confidence: 99%

Capsis: an open software framework and community for forest growth modelling

Dufour-Kowalski

Courbaud

Dreyfus

et al. 2011

Annals of Forest Science

123

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International audienceContext :Forest scientists build models to simulate stand growth and forests dynamics. Dedicated computer tools are often developed to implement these models in order to run silvicultural scenarios and explore simulation results. Aims Our objective was to encourage software reuse and simplify model implementation. Methods The scheme was to develop a framework and methodology allowing to simplify the implementation, integration, simulation and comparison of forest models by providing a set of common and standard tools. Results Capsis provides an open and modular software architecture based on various components, allowing to run forest growth simulations and display the results. The benefits of this framework are shown with the Samsara2 model, an individual-based and spatialised tree model. Capsis has been used successfully in many similar projects. In addition, the Capsis methodology defines how developers, modellers and end-users may interact. Conclusion The Capsis framework facilitates collaborative and shared software development. Moreover, it is a powerful way to support scientific animation in the frame of forest science

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“…al., 2010). Models and platforms are also being designed around these principles (de Reffye & Hu, 2003;Barczi et. al., 2007).…”

Section: D Modelsmentioning

confidence: 99%

An Evaluative Review of Simulated Dynamic Smart 3d Objects

Romeijn

Sheth

Pettit

2012

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci.

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ABSTRACT:Three-dimensional (3D) modelling of plants can be an asset for creating agricultural based visualisation products. The continuum of 3D plants models ranges from static to dynamic objects, also known as smart 3D objects. There is an increasing requirement for smarter simulated 3D objects that are attributed mathematically and/or from biological inputs. A systematic approach to plant simulation offers significant advantages to applications in agricultural research, particularly in simulating plant behaviour and the influences of external environmental factors. This approach of 3D plant object visualisation is primarily evident from the visualisation of plants using photographed billboarded images, to more advanced procedural models that come closer to simulating realistic virtual plants. However, few programs model physical reactions of plants to external factors and even fewer are able to grow plants based on mathematical and/or biological parameters. In this paper, we undertake an evaluation of plant-based object simulation programs currently available, with a focus upon the components and techniques involved in producing these objects. Through an analytical review process we consider the strengths and weaknesses of several program packages, the features and use of these programs and the possible opportunities in deploying these for creating smart 3D plant-based objects to support agricultural research and natural resource management. In creating smart 3D objects the model needs to be informed by both plant physiology and phenology. Expert knowledge will frame the parameters and procedures that will attribute the object and allow the simulation of dynamic virtual plants. Ultimately, biologically smart 3D virtual plants that react to changes within an environment could be an effective medium to visually represent landscapes and communicate land management scenarios and practices to planners and decision-makers.

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AmapSim: A Structural Whole-plant Simulator Based on Botanical Knowledge and Designed to Host External Functional Models

Cited by 79 publications

References 41 publications

Simulation of Multitemporal and Hyperspectral Vegetation Canopy Bidirectional Reflectance Using Detailed Virtual 3-D Canopy Models

Simulation of Multitemporal and Hyperspectral Vegetation Canopy Bidirectional Reflectance Using Detailed Virtual 3-D Canopy Models

Capsis: an open software framework and community for forest growth modelling

An Evaluative Review of Simulated Dynamic Smart 3d Objects

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