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
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 (UMR 3192), Lab-STICC - Laboratoire des sciences et techniques de l'information, de la communication et de la connaissance
Abstract : 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.
Keywords : OGC STANDARDS GIS SDI NOISE VGI
Type de document :
Communication dans un congrès
Open Source Geospatial Research & Education Symposium, Oct 2016, PERUGIA, Italy. 2016, 〈http://2016.ogrs-community.org/〉
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https://halshs.archives-ouvertes.fr/halshs-01381803
Contributeur : Erwan Bocher <>
Soumis le : lundi 17 octobre 2016 - 18:09:03
Dernière modification le : vendredi 7 décembre 2018 - 01:51:38

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  • HAL Id : halshs-01381803, version 1

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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. 2016, 〈http://2016.ogrs-community.org/〉. 〈halshs-01381803〉

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