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Lars Harrie

Professor

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Influence of land cover on noise simulation output – A case study in Malmö, Sweden

Författare

  • Karolina Pantazatou
  • Kristoffer Mattisson
  • Per-Ola Olsson
  • Erik Telldén
  • Anders Kettisen
  • Soraya Hosseinvash Azari
  • Wenjing Liu
  • Lars Harrie

Summary, in English

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 km2 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.

Avdelning/ar

  • Institutionen för naturgeografi och ekosystemvetenskap
  • Planetär hälsa
  • Avdelningen för arbets- och miljömedicin
  • eSSENCE: The e-Science Collaboration
  • BECC: Biodiversity and Ecosystem services in a Changing Climate
  • Centrum för geografiska informationssystem (GIS-centrum)

Publiceringsår

2025-04-21

Språk

Engelska

Publikation/Tidskrift/Serie

Noise Mapping

Volym

12

Issue

1

Dokumenttyp

Artikel i tidskrift

Förlag

De Gruyter

Ämne

  • Multidisciplinary Geosciences
  • Other Computer and Information Science
  • Physical Geography
  • Artificial Intelligence

Nyckelord

  • Noise Simulations
  • Nord2000
  • Convolutional Neural Networks (CNN)
  • Land Cover
  • Semantic 3D city models
  • sustainable urban planning

Aktiv

Published

Forskningsgrupp

  • Planetary Health