COLLABORATIVE NOISE MAPPING USING SMARTPHONE

10 citations as recorded by crossref.

1. Reducing Data Requirements for Simple and Effective Noise Mapping: A Case Study of Noise Mapping Using Computational Methods and GIS for the Raebareli City Intersection M. Zafar et al. 10.3390/acoustics5040061
2. A Novel Method to Determine the Optimal Location for a Cellular Tower by Using LiDAR Data S. Bharadwaj et al. 10.3390/asi5020030
3. Smartphones, a tool for noise monitoring and noise mapping: an overview A. Padilla-Ortiz et al. 10.1007/s13762-022-04240-6
4. Investigating Noise Mapping in Cities to Associate Noise Levels with Sources of Noise Using Crowdsourcing Applications E. Othman et al. 10.3390/urbansci8010013
5. Use of noise prediction models for road noise mapping in locations that do not have a standardized model: a short systematic review G. Meller et al. 10.1007/s10661-023-11268-9
6. Using a Clustering Method to Detect Spatial Events in a Smartphone-Based Crowd-Sourced Database for Environmental Noise Assessment A. Boumchich et al. 10.3390/s22228832
7. A Smartphone-Based Crowd-Sourced Database for Environmental Noise Assessment J. Picaut et al. 10.3390/ijerph18157777
8. GIS Based Road Traffic Noise Mapping and Assessment of Health Hazards for a Developing Urban Intersection M. Zafar et al. 10.3390/acoustics5010006
9. Determination of Point-to-Point 3D Routing Algorithm Using LiDAR Data for Noise Prediction S. Bharadwaj et al. 10.3390/asi5030058
10. Acoustic contamination assessment during the transition between the COVID-19 restrictions and reactivation: A exploratory analysis in Guayaquil A. Velastegui-Montoya et al. 10.1016/j.geosus.2023.02.001