The high temporal and spatial granularities recommended
by the European regulation for the purpose
of environmental noise mapping leads to consider new
alternatives to simulations for reaching such information.
While more and more European cities deploy urban
environmental observatories, the ceaseless rising number
of citizens equipped with both a geographical positioning
system and environmental sensors through their
smartphones legitimates the design of outsourced systems
that promote citizen participatory sensing. In this context,
the OnoM@p system aims at offering a framework
for capitalizing on crowd noise data recorded by inexperienced
individuals by means of an especially designed mobile
phone application. The system fully rests upon open
source tools and interoperability standards defined by the
Open Geospatial Consortium. Moreover, the implementation
of the Spatial Data Infrastructure principle enables
to break up as services the various business modules for
acquiring, analysing and mapping sound levels. The proposed
architecture rests on outsourced processes able to
filter outlier sensors and untrustworthy data, to cross- reference
geolocalised noise measurements with both geographical
and statistical data in order to provide higherlevel
indicators, and to map the collected and processed
data based on web services.
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The journal aims to promote and disseminate knowledge on noise mapping through the publication of high quality peer-reviewed papers. The goal of the journal is to be the first and main publishing option for authors writing on noise mapping and related topics, and a hub integrating the relevant research community in the field of environmental noise and soundscape studies.