OnoM@p: a Spatial Data Infrastructure dedicated to noise monitoring based on volunteers measurements

July 2016

Name of the scientific publication: PeerJ Preprints 4

Title of the article: OnoM@p: a Spatial Data Infrastructure dedicated to noise monitoring based on volunteers measurements

Authors: Bocher E, Petit G, Fortin N, Picaut J, Guillaume G, Palominos S.

 

PeerJ Preprints 4:e2273v1

July 2016.

DOI: https://doi.org/10.7287/peerj.preprints.2273v1

 

Abstract: 

The present paper proposes an ideal Spatial Data Infrastructure (SDI) dedicated to noise monitoring based on volunteers measurements. Called OnoM@P, it takes advantage of the geospatial standards and open source tools to build an integrated platform to manage the whole knowledge about a territory and to observe its dynamics. It intends also to diffuse good practices to organize, collect, represent and process geospatial data in field of acoustic researches. OnoM@p falls within the framework of the Environmental Noise Directive (END) 2002/49/CE. The system relies on the NoiseCapture Android application developed for allowing each citizen to estimate its own noise exposure with its smartphone.

 

URL: https://peerj.com/preprints/2273v1/

Please reload