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Recommendation for Vegetation Information in Semantic 3D City Models Used in Urban Planning Applications

Pantazatou, Karolina LU orcid ; Kanters, Jouri LU ; Mattisson, Kristoffer LU orcid ; Olsson, Per-Ola LU and Harrie, Lars LU orcid (2024) The 18th 3DGeoInfo conference In Lecture Notes in Geoinformation and Cartography p.3-30
Abstract
Cities are growing in size and becoming increasingly dense. This situation calls for strategic planning of green infrastructure in the urban planning process. Safeguarding the green infrastructure is important for maintaining urban ecosystem services and increasing the well-being of urban populations. To facilitate appropriate urban planning that enables cities to grow sustainably, it is important that the geospatial community provides adequate vegetation information. In this study, we investigate the need for vegetation information in urban planning applications such as modelling ecosystem services and noise, as well as performing case studies of using vegetation information in daylight and solar energy simulations. Based on these... (More)
Cities are growing in size and becoming increasingly dense. This situation calls for strategic planning of green infrastructure in the urban planning process. Safeguarding the green infrastructure is important for maintaining urban ecosystem services and increasing the well-being of urban populations. To facilitate appropriate urban planning that enables cities to grow sustainably, it is important that the geospatial community provides adequate vegetation information. In this study, we investigate the need for vegetation information in urban planning applications such as modelling ecosystem services and noise, as well as performing case studies of using vegetation information in daylight and solar energy simulations. Based on these investigations, we formulate a recommendation of how vegetation information should be included in 3D city models. The study is focused on the development of a Swedish national profile of CityGML, but many of the conclusions are general and universally applicable. In short, the recommendations are that: (1) the vegetation theme should follow CityGML 3.0 with some additional attributes (e.g., popular name of tree species) added as an application domain extension, (2) no LOD division is required for the vegetation information stored (but rather derived if necessary), (3) the vegetation theme should only contain 3D vegetation objects while the 2D vegetation is part of the land cover theme, and (4) the building specification (and city furniture specification) must include the possibility to store information on whether building roofs or facades (and walls) are covered with vegetation. (Less)
Please use this url to cite or link to this publication:
author
; ; ; and
organization
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
keywords
3D city models, vegetation, land cover, Solar energy simulations, Daylight simulations, sustainable urban planning
host publication
Recent Advances in 3D Geoinformation Science : Proceedings of the 18th 3D GeoInfo Conference - Proceedings of the 18th 3D GeoInfo Conference
series title
Lecture Notes in Geoinformation and Cartography
editor
Kolbe, Thomas ; Donaubauer, Andreas and Beil, Christof
edition
1
pages
3 - 30
publisher
Springer
conference name
The 18th 3DGeoInfo conference
conference location
Munich, Germany
conference dates
2023-09-12 - 2023-09-14
external identifiers
  • scopus:85188270866
ISSN
1863-2351
1863-2246
ISBN
978-3-031-43698-7
978-3-031-43699-4
DOI
10.1007/978-3-031-43699-4_1
language
English
LU publication?
yes
id
f7050641-fc1d-4269-aef6-d5f19a917a0e
date added to LUP
2024-02-21 14:01:00
date last changed
2024-04-18 11:49:47
@inbook{f7050641-fc1d-4269-aef6-d5f19a917a0e,
  abstract     = {{Cities are growing in size and becoming increasingly dense. This situation calls for strategic planning of green infrastructure in the urban planning process. Safeguarding the green infrastructure is important for maintaining urban ecosystem services and increasing the well-being of urban populations. To facilitate appropriate urban planning that enables cities to grow sustainably, it is important that the geospatial community provides adequate vegetation information. In this study, we investigate the need for vegetation information in urban planning applications such as modelling ecosystem services and noise, as well as performing case studies of using vegetation information in daylight and solar energy simulations. Based on these investigations, we formulate a recommendation of how vegetation information should be included in 3D city models. The study is focused on the development of a Swedish national profile of CityGML, but many of the conclusions are general and universally applicable. In short, the recommendations are that: (1) the vegetation theme should follow CityGML 3.0 with some additional attributes (e.g., popular name of tree species) added as an application domain extension, (2) no LOD division is required for the vegetation information stored (but rather derived if necessary), (3) the vegetation theme should only contain 3D vegetation objects while the 2D vegetation is part of the land cover theme, and (4) the building specification (and city furniture specification) must include the possibility to store information on whether building roofs or facades (and walls) are covered with vegetation.}},
  author       = {{Pantazatou, Karolina and Kanters, Jouri and Mattisson, Kristoffer and Olsson, Per-Ola and Harrie, Lars}},
  booktitle    = {{Recent Advances in 3D Geoinformation Science : Proceedings of the 18th 3D GeoInfo Conference}},
  editor       = {{Kolbe, Thomas and Donaubauer, Andreas and Beil, Christof}},
  isbn         = {{978-3-031-43698-7}},
  issn         = {{1863-2351}},
  keywords     = {{3D city models; vegetation; land cover; Solar energy simulations; Daylight simulations; sustainable urban planning}},
  language     = {{eng}},
  month        = {{02}},
  pages        = {{3--30}},
  publisher    = {{Springer}},
  series       = {{Lecture Notes in Geoinformation and Cartography}},
  title        = {{Recommendation for Vegetation Information in Semantic 3D City Models Used in Urban Planning Applications}},
  url          = {{http://dx.doi.org/10.1007/978-3-031-43699-4_1}},
  doi          = {{10.1007/978-3-031-43699-4_1}},
  year         = {{2024}},
}