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Hinterreiter, S.* ; Budde, M.* ; Schäfer, K.* ; Riesterer, J.* ; Riedel, T.* ; Köpke, M.* ; Cyrys, J. ; Emeis, S.* ; Gratza, T.* ; Hank, M.* ; Philipp, A.* ; Petersen, E.* ; Redelstein, J.* ; Schnelle-Kreis, J. ; Young, D.* ; Kowalski, M. ; Ziegler, V.* ; Beigl, M.*

SmartAQnet – neuer smarter Weg zur räumlichen Erfassung von Feinstaub.

Smartaqnet – new smart way for spatial detection of fine dust.

AGIT J. Angew. Geoinfo. 4, 394-403 (2018)
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Open Access Gold
Creative Commons Lizenzvertrag
The SmartAQnet research project is investigating a smart way of determining the spatial distribution of fine dust, prototyped at a demonstration site in Augsburg, Germany. The research approach is the collection of different qualities of fine dust measurement data and its combination with remote sensing data. Measured fine dust data can be fed into the data architecture by anyone, ranging from end users (e. g. with ultra-low-cost sensors) to official measuring networks (with high-precision measuring technology). A novel Internet of Things analysis platform will provide data for applications by both planners and citizens, which can be used for sustainable health care (e. g. app for air quality-related navigation).
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Publication type Article: Journal article
Document type Scientific Article
Corresponding Author
Keywords Air Quality Monitoring ; Big Data Management ; Fine Dust ; Remote Sensing
ISSN (print) / ISBN 2364-9283
e-ISSN 2509-713x
Quellenangaben Volume: 4, Issue: , Pages: 394-403 Article Number: , Supplement: ,
Publisher VDE Verlag
Non-patent literature Publications
Reviewing status Peer reviewed