Ecosense - Smart Sensors Alone in the Forest
Climate change threatens ecosystems and forests worldwide. Understanding the ecosystem processes across spatial and temporal scales is essential for a timely fore-casting of changes of ecosystem functioning. Here, we present a distributed sensor network as it is currently being developed in the ECOSENSE project in a joint activity of engineering and environmental sciences. The miniaturized sensors and sampling devices for CO2, VOC, PAR, PAM need to be minimally invasive in order not to disturb the system we want to investigate, yet robust and reliably fixed to the leaves. First experiences in bringing those sensors out into the rough environment of a naturally grown remote forest underlined the need for anti-soiling coatings and water-proof packaging.
Authors
- Peter Woias (ORCID: https://orcid.org/0000-0002-4715-6032)
- Christiane Werner (ORCID: https://orcid.org/0000-0002-7676-9057)
- Johannes Klüppel (ORCID: https://orcid.org/0000-0002-6370-9522)
- Oswald Prucker (ORCID: https://orcid.org/0000-0001-8683-7730)
- Ulrike Wallrabe (ORCID: https://orcid.org/0000-0003-0532-1519)
- Katrin Schmitt (ORCID: https://orcid.org/0000-0002-4646-8990)
- Yasmina Frey (ORCID: https://orcid.org/0000-0001-5118-1268)
- Laura Maria Comella (ORCID: https://orcid.org/0000-0001-8283-1454)
- Stefan J. Rupitsch (ORCID: https://orcid.org/0000-0002-4806-9838)
- Till Steinmann (ORCID: https://orcid.org/0000-0002-0890-5184)
- Johannes Kapp (ORCID: https://orcid.org/0000-0002-2208-0633)
- Uttunga G. Shinde (ORCID: https://orcid.org/0000-0002-7868-8787)
- Samaneh Baghbani (ORCID: https://orcid.org/0009-0005-2503-3655)
- Jürgen Rühe (ORCID: https://orcid.org/0000-0002-2534-8228)
- Jürgen Wöllenstein
- Sanam Kumari Rajak (ORCID: https://orcid.org/0009-0004-1822-1239)
Institutions
- University of Freiburg (DE)
- Cicor (Germany) (DE)
- Embedded Systems (United States) (US)
Publication Details
- Published
- 2025-06-29
- DOI
- https://doi.org/10.1109/transducers61432.2025.11111503
- Citations
- 1
- Primary Topic
- Water Quality Monitoring Technologies
- Type
- article
- Field-Weighted Citation Impact
- 0.82
Funders
- Deutsche Forschungsgemeinschaft