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• W3138922011 abstract "AbstractCreating vegetation contents for a digital twin city entails generating dynamic 3D plant models in a large scale to represent the actual vegetation in the city. To enable high-fidelity environmental simulations and analysis applications, we model individual trees at a species level of detail. The 3D models are generated procedurally based on their botanical species profiles within the constraints of measurements and growth spaces derived from laser-scanned point cloud data. Users can conveniently define the known profile of a species by using a species profile template that we formulated based on species growth processes and patterns. Based on the given species profile and solving for the unknowns within the growth space constraints, a species model will be grown through iterations of our formulated growth rules. We show that this methodology produces structurally-representative species models with respect to their actual physical and species characteristics.KeywordsTree modellingTree species architectureSpecies growthProcedural modellingDigital twinsOptimisation" @default.
• W3138922011 created "2021-03-29" @default.
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• W3138922011 date "2021-01-01" @default.
• W3138922011 modified "2023-10-17" @default.
• W3138922011 title "Tree Species Modelling for Digital Twin Cities" @default.
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• W3138922011 doi "https://doi.org/10.1007/978-3-662-63170-6_2" @default.
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