Influence of land cover on noise simulation output – A case study in Malmö, Sweden Article Swipe
Karolina Pantazatou
,
Kristoffer Mattisson
,
Per‐Ola Olsson
,
Erik Telldén
,
Anders Kettisen
,
Soraya Hosseinvash Azari
,
Wenjing Liu
,
Lars Harrie
·
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.1515/noise-2025-0016
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.1515/noise-2025-0016
Determining the land cover (LC) data requirements used as input to noise simulations is essential for planning sustainable urban densifications. This study examines how different LC datasets influence simulated environmental noise levels of road traffic using Nord2000 in an urban area of 1 km 2 in southern Sweden. Four LC datasets were used. The first dataset was based on satellite data (spatial resolution 10 m) combined with various other datasets implementing an LC classification algorithm prioritizing vegetation. The second dataset was created by applying an LC majority priority rule over every cell of the first dataset. The third dataset was produced by applying a convolutional neural network over an orthophoto (0.08 m spatial resolution), while the fourth dataset was created by manually digitizing ground surfaces over the same orthophoto also utilizing data from the municipality’s basemap. The results show that LC data impact simulated noise levels, with priority rules in LC classification algorithms having a greater effect than spatial resolution. Statistically significant differences (up to 3 dB(A)) were found when comparing the simulated noise levels generated using the vegetation-prioritizing LC dataset compared to the simulated noise levels of the other LC datasets.
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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1515/noise-2025-0016
- https://www.degruyterbrill.com/document/doi/10.1515/noise-2025-0016/pdf
- OA Status
- gold
- Cited By
- 1
- References
- 45
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4409643646
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4409643646Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1515/noise-2025-0016Digital Object Identifier
- Title
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Influence of land cover on noise simulation output – A case study in Malmö, SwedenWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2025Year of publication
- Publication date
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2025-01-01Full publication date if available
- Authors
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Karolina Pantazatou, Kristoffer Mattisson, Per‐Ola Olsson, Erik Telldén, Anders Kettisen, Soraya Hosseinvash Azari, Wenjing Liu, Lars HarrieList of authors in order
- Landing page
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https://doi.org/10.1515/noise-2025-0016Publisher landing page
- PDF URL
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https://www.degruyterbrill.com/document/doi/10.1515/noise-2025-0016/pdfDirect link to full text PDF
- Open access
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YesWhether a free full text is available
- OA status
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goldOpen access status per OpenAlex
- OA URL
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https://www.degruyterbrill.com/document/doi/10.1515/noise-2025-0016/pdfDirect OA link when available
- Concepts
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Land cover, Cover (algebra), Noise (video), Geography, Environmental science, Land use, Engineering, Civil engineering, Computer science, Mechanical engineering, Image (mathematics), Artificial intelligenceTop concepts (fields/topics) attached by OpenAlex
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1Total citation count in OpenAlex
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2025: 1Per-year citation counts (last 5 years)
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10Other works algorithmically related by OpenAlex
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