GreenTwins individual plant and plant cover type data

This dataset contains materials for visualizing GreenTwins pilot area individual plants and plant cover types for 3D city models and digital twins. The data follow the structure defined in GreenTwins information model on individual plants and plant cover types, which is a draft of a vegetation model extension based on the CityGML 2.0 standard. The modelled species have been selected in order to be able to visualise (the growth of) vegetation of the GreenTwins pilot areas in Tallinn, Estonia, and Helsinki, Finland.

The GreenTwins vegetation data is defined in terms of Individual plants (point data) and larger Plant cover polygons. Individual plants can be either trees or shrubs, whereas each Plant cover polygons can be defined to contain a species composition consisting of trees, shrubs and Herbaceous plants. Trees and shrubs can be visualised in 3D visualisation applications as 3D models, with plant expert-defined growth curves and seasonality information. Herbaceous plants are visualised as billboards, the outlook of which may vary from short-cut (due to modelled maintenance) to full-grown and to seasonal versions.

This package contains materials for the construction of Tree and Shrub growth-series 3D models, from photography instructions to photographs (trees, shrubs and a selection of herbaceous plants), hand-modelled textures and 3D twigs (trees and shrubs), algorithmically modelled 3D branch structures in various Levels-of-Detail (trees and shrubs), example 3D models of a selection of example species (trees) in various ages and Levels-of-Detail, and an example herbaceous plant photograph and billboard. The 3D modelling algorithm used to produce the growth-series of branch 3D models for trees and shrubs) in various Levels-of-Detail is published separately (Fabritius et al. manuscript). The algorithmically created tree branches were connected to hand-made twigs using the GreenTwins web application available at zircon-coal-mechanic.glitch.me. Tree and shrub dimensions were projected into the future using a projection algorithm (not published).