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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)
Verlagsversion DOI
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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Publikationstyp Artikel: Journalartikel
Dokumenttyp Wissenschaftlicher Artikel
Korrespondenzautor
Schlagwörter Air Quality Monitoring ; Big Data Management ; Fine Dust ; Remote Sensing
ISSN (print) / ISBN 2364-9283
e-ISSN 2509-713x
Zeitschrift AGIT Journal für Angewandte Geoinformatik
Quellenangaben Band: 4, Heft: , Seiten: 394-403 Artikelnummer: , Supplement: ,
Verlag VDE Verlag
Nichtpatentliteratur Publikationen
Begutachtungsstatus Peer reviewed
Institut(e) Institute of Epidemiology II (EPI2)
Cooperation Group Comprehensive Molecular Analytics (CMA)