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Communication Dans Un Congrès Année : 2016

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

Résumé

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 and to contribute to the production of community noisemaps.

Domaines

Géographie
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Dates et versions

hal-01373694 , version 1 (29-09-2016)

Identifiants

Citer

Erwan Bocher, Gwendall Petit, Nicolas Fortin, Judicaël Picaut, Gwenaël Guillaume, et al.. OnoM@p : a Spatial Data Infrastructure dedicated to noise monitoring based on volunteers measurements. OGRS2016, Open Source Geospatial Research & Education Symposium, Oct 2016, PEROUSE, Italy. 11p, ⟨10.7287/peerj.preprints.2273v2⟩. ⟨hal-01373694⟩
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