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 Gwenaël Guillaume 3 Sylvain Palominos 1
1 Lab-STICC_CNRS_CID_DECIDE
Lab-STICC - Laboratoire des sciences et techniques de l'information, de la communication et de la connaissance
2 Lab-STICC_UBS_CID_DECIDE
Lab-STICC - Laboratoire des sciences et techniques de l'information, de la communication et de la connaissance
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.
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Communication dans un congrès
OGRS2016, Open Source Geospatial Research & Education Symposium, Oct 2016, PEROUSE, Italy. OGRS2016, Open Source Geospatial Research & Education Symposium, 11p, 2016, 〈10.7287/peerj.preprints.2273v2〉
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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. OGRS2016, Open Source Geospatial Research & Education Symposium, 11p, 2016, 〈10.7287/peerj.preprints.2273v2〉. 〈hal-01373694〉

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