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Road Traffic Noise (AI Prediction) - Germany, 2017

All Themes
Anthroposphere

DLR
EOC
Road Traffic
Noise
Exposure
Residential environment
Health
2002/49/EC
Germany

This dataset includes a road traffic noise estimation using ensemble learning and multimodal geodata.

The official noise indicator, Lden (Day-Evening-Night Level), mapped according to the European Noise Directive (2002/49/EC) for large urban agglomerations is extrapolated to suburban areas and beyond. This novel information closes previous data gaps and is herewith available for environmental noise assessments evaluating the impact of road traffic noise on human health and well-being at a spatial resolution of 10 x 10m nation-wide.

References:

  • Jeroen Staab, Matthias Weigand, Arthur Schady, Ariane Droin, Donatella Cea, Marco Dallavalle, Nikolaos Nikolaou, Mahyar Valizadeh, Kathrin Wolf, Michael Wurm, Tobia Lakes, Hannes Taubenböck. 2025. National road traffic noise estimation with ensemble learning and multimodal geodata, Transportation Research Part D: Transport and Environment. 149, 105063. DOI: 10.1016/j.trd.2025.105063

Contacts:

  • Jeroen Staab (Producer, Processor) DLR/EOC Land Surface Dynamics

Properties:

Links:

Items:

Noise - Road Traffic Lden (AI Prediction) - Germany, 2017

This dataset includes a road traffic noise estimation using ensemble learning and multimodal geodata.

Title: STAC
Endpoint: https://geoservice.dlr.de/eoc/ogc/stac/v1
Collection: N2N_NOISE_AI_DE_2017
Request: Collection (JSON)
Preview: Collection (HTML)
Items: Request (JSON)

Title: EOC Land Map Service
Endpoint: https://geoservice.dlr.de/eoc/land/wms
Layer: N2N_NOISE_AI_DE_2017
Capabilities: GetCapabilities (XML)
Preview: GetMap (Openlayers)

Related Datasets:

Road Traffic Noise - Germany, 2017

2024-10-25