Generating 3D city models without elevation data
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Building heights can be predicted without elevation data from real estate records, census data and features characterizing the neighborhood of each building.
“Recent research showed that heights can be predicted even without such elevation data, as demonstrated by [77,537], who predicted these from real estate records, census data and features characterizing the neighborhood of each building.”
From Tackling climate change with machine learning (2023) · cites this paper as [77]
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References 157 · Cited by 165
Research works printed but not linked: 2
- Chen, K.W., Norford, L., 2016. Workflow for Generating 3D Urban Models from Open City Data for Performance-Based Urban Design, in: Proceedings of the Asim 2016 IBPSA Asia Conference, Jeju, Korea.
- Olivares García, J.M., Virgós Soriano, L.I., Velasco Martín-Varés, A., 2011. 3D Modeling and Representation of the Spanish Cadastral Cartography, in: Proceedings of the 2nd International Workshop on 3D Cadastres, Delft, the Netherlands. pp. 209-222.
- Authors
- Biljecki, F., Ledoux, H., & Stoter, J.
- Affiliations
- Delft University of Technology (NL)
- Corresponding author
- Biljecki, Filip
- Venue
- Computers, Environment and Urban Systems
- Publisher
- Elsevier BV
- Published
- 2017-07
- Volume
- 64
- Pages
- 1-18
- ISSN
- 0198-9715 (ISSN-L)
- OpenAlex
- W2571712648
- Cited by
- 165
- References
- 157
- Citations by year
- 2026: 18 · 2025: 17 · 2024: 18 · 2023: 27 · 2022: 17 · 2021: 14 · 2020: 16 · 2019: 19 · 2018: 11 · 2017: 8
- FWCI
- 12.99
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- Locations
- Computers Environment and Urban Systems (publishedVersion)
- National University of Singapore (submittedVersion, cc-by-nc-nd)
- Research Repository (Delft University of Technology) (submittedVersion)
- Data Archiving and Networked Services (DANS) (submittedVersion)
- Data Archiving and Networked Services (DANS) (submittedVersion, other-oa)
- Funders
- Nederlandse Organisatie voor Wetenschappelijk Onderzoek
- Stichting voor de Technische Wetenschappen
- Ministerie van Economische Zaken (11300)
- Topics
- Physical Sciences › Engineering › Building and Construction › 3D Modeling in Geospatial Applications
- Physical Sciences › Engineering › Ocean Engineering › Automated Road and Building Extraction
- Social Sciences › Geography, Planning and Development › Geographic Information Systems Studies
- Keywords
- 3D city model, building height estimation, building footprints, random forest, CityGML, cadastre
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