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

Erwan Bocher (1) , Gwendall Petit (2) , Nicolas Fortin (3) , Judicaël Picaut (3) , Gwenael Guillaume (3) , Sylvain Palominos (1)

1 Lab-STICC_CNRS_CID_DECIDE
2 Lab-STICC_UBS_CID_DECIDE
3 IFSTTAR/AME - Département Aménagement, Mobilités et Environnement

This talk presents 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.

Mots clés: VGI; NOISE; OGC; STANDARDS; GIS; SDI

Domaines: Géographie

Erwan Bocher, Gwendall Petit, Nicolas Fortin, Judicaël Picaut, Gwenael Guillaume, et al.. OnoM@p : a Spatial Data Infrastructure dedicated to noise monitoring based on volunteers measurements. Open Source Geospatial Research & Education Symposium, Oct 2016, PERUGIA, Italy. ⟨halshs-01381803⟩