April 18th, 2017  |  Published in Research

Air quality and the associated subjective and health-related quality of life are among the important topics of our time. However, it is very difficult for many cities to take measures that to accommodate today’s needs concerning e.g. mobility, housing and work, because a consistent data base with fine-granular data and information on causal chains is missing. This has the potential to change, as today, both large-scale basic data as well as new promising measuring approaches are becoming available.

Project “SmartAQnet” is based on a pragmatic, data driven approach, which for the first time combines existing data sets with a networked mobile measurement strategy. By connecting open data, such as weather data or development plans, remote sensing of influencing factors, and new mobile measurement approaches, such as participatory with ultra-low sensor technology, “scientific scouts” and demand-oriented measurements by light weight UAVs, a novel measuring and analysis concept is created within the model region of Augsburg. In addition to novel analytics, a prototypical technology stack is planned which, through modern analytics methods and Big Data and IoT technologies, enables application in a scalable way.

Overview image of project "SmarAQnet"

SmartAQnet is funded by the German Federal Ministry of Transport and Digital Infrastructure (BMVI):

Project Website


SmartAQnet organizes a Citizen Science workshop to build fine dust sensor nodes on March 13th, 2019 in Augsburg

Open Data / API

…coming soon

Further Information


  • 04/2017 – 2020 (running)


  • Institute of Meteorology and Climate Research, Atmospheric Environmental Research, Karlsruhe Institute of Technology (IMK-IFU)
  • German Research Center for Environmental Health, Helmholtz Zentrum München (HMGU)
  • Institut of Geography, University of Augsburg
  • GRIMM Aerosol Technik GmbH & Co. KG
  • Aerosol Akademie e.V.
  • Umweltamt, Stadt Augsburg

Research topics

  • Air Quality
  • Environmental Sensing
  • Big Data Analytics
  • Mobile Computing
  • Modeling


  • Till Riedel (email: riedel(at)
  • Matthias Budde (email: budde(at)

Selected Publications

Matthias Budde, Almuth D. Schwarz, Thomas Müller, Bernd Laquai, Norbert Streibl, Gregor Schindler, Marcel Köpke, Till Riedel, Achim Dittler, Michael Beigl (2019) Potenzial und Grenzen des kostengünstigen SDS011 Partikelsensors bei der Überwachung urbaner Luftqualität, Umwelteinflüsse erfassen, simulieren, bewerten - 48. Jahrestagung der GUS 2019, p. 271-280, GUS, pdf

Johannes Riesterer, Sebastian Lerch, Matthias Budde, Julian Bruns, Stanislav Arnaudov, Till Riedel, Michael Beigl (2019) Stochastische Regressionsmodelle zur Verbesserung der Datenqualität, Kalibrierung und Interpolation von Umwelt-und Luftdaten in verteilten Messnetzen aus Low-Cost Sensoren, Umwelteinflüsse erfassen, simulieren, bewerten - 48. Jahrestagung der GUS 2019

Matthias Budde, Simon Leiner, Marcel Köpke, Johannes Riesterer, Till Riedel, Michael Beigl (2019) FeinPhone: Low-cost Smartphone Camera-based 2D Particulate Matter Sensor, Sensors 19(3), p. 749, pdf, doi:10.3390/s19030749

Matthias Budde, Almuth D. Schwarz, Thomas Müller, Bernd Laquai, Norbert Streibl, Gregor Schindler, Marcel Köpke, Till Riedel, Achim Dittler, Michael Beigl (2018) Potential and Limitations of the Low-Cost SDS011 Particle Sensor for Monitoring Urban Air Quality, ProScience 5(3rd International Conference on Atmospheric Dust (DUST2018)), p. 6-12, url, doi:10.14644/dust.2018.002

Matthias Budde, Till Riedel (2018) Challenges in Capturing and Analyzing High Resolution Urban Air Quality Data, International Joint Conference on Pervasive and Ubiquitous Computing (Ubicomp'18), Adjunct Proceedings, doi:10.1145/3267305.3274762

Julian Bruns, Johannes Riesterer, Bowen Wang, Till Riedel, Michael Beigl (2018) Automated Quality Assessment of (Citizen) Weather Stations, GI_Forum, pdf, doi:10.1553/giscience2018_01_s65

Stefan Hinterreiter, Matthias Budde, Klaus Schäfer, Johannes Riesterer, Till Riedel, Marcel Köpke, Josef Cyrys, Stefan Emeis, Thomas Gratza, Marcus Hank, Andreas Philipp, Erik Petersen, Johanna Redelstein, Jürgen Schnelle-Kreis, Duick Young, Michal Kowalski, Volker Ziegler, Michael Beigl (2018) SmartAQnet – Neuer smarter Weg zur räumlichen Erfassung von Feinstaub, AGIT – Journal für Angewandte Geoinformatik 4, pdf

Matthias Budde, Klaus Schäfer, Till Riedel, Josef Cyrys, Stefan Emeis, Thomas Gratza, Hans Grimm, Marcus Hank, Stefan Hinterreiter, Marcel Köpke, Erik Petersen, Andreas Philipp, Johanna Redelstein, Johannes Riesterer, Jürgen Schnelle-Kreis, Duick Young, Volker Ziegler, Michael Beigl (2018) Project SmartAQnet: Combining Existing Datasets and a Mobile Measurement Strategy into a Smart Urban Air Quality Network, Scientific Research Abstracts 8 (DUST 2018), p. 12, pdf

Matthias Budde, Thomas Müller, Bernd Laquai, Norbert Streibl, Almuth D. Schwarz, Gregor Schindler, Till Riedel, Michael Beigl, Achim Dittler (2018) Suitability of the Low-Cost SDS011 Particle Sensor for Urban PM-Monitoring, Scientific Research Abstracts 8 (DUST 2018), p. 11, pdf

Matthias Budde, Till Riedel, Michael Beigl, Klaus Schäfer, Stefan Emeis, Josef Cyrys, Jürgen Schnelle-Kreis, Andreas Philipp, Volker Ziegler, Hans Grimm, Thomas Gratza (2017) SmartAQnet: Remote and In-Situ Sensing of Urban Air Quality, Proc. SPIE 10424, Remote Sensing of Clouds and the Atmosphere XXII, 104240C, pdf, doi:10.1117/12.2282698

Matthias Budde, Andrea Schankin, Julien Hoffmann, Marcel Danz, Till Riedel, Michael Beigl (2017) Participatory Sensing or Participatory Nonsense? — Mitigating the Effect of Human Error on Data Quality in Citizen Science, Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT) 1(3), pdf, doi:10.1145/3131900

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