ICT-ENSURE Information System on Literature in the Field of ICT for Environmental Sustainability

ICT-ENSURE Information System on Literature in the Field of ICT for Environmental Sustainability ICT-ENSURE Information System on Literature in the Field of ICT for Environmental Sustainability European Commission European Commission CORDIS Seventh Framework Programme KIT - Karlsruhe Institute of Technology Graz University of Technology, Knowledge Management Institute International Society for Environmental Protection
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Environmental Monitoring of Continuous Phenomena by Sensor Data Streams: A System Approach Based on Kriging

Authors
Lorkowski, Peter (Institute for Applied Photogrammetry and Geoinformatics, Jade University of Applied Sciences)
Search for Peter Lorkowski in Research Programmes Information System
Brinkhoff, Thomas (Institute for Applied Photogrammetry and Geoinformatics, Jade University of Applied Sciences)
Search for Thomas Brinkhoff in Research Programmes Information System
Chapter ConverStation I
Volume EnviroInfo & ICT4S, Conference Proceedings (Part 1)
Conference Building the knowledge base for environmental action and sustainability
Copenhagen, 2015
Year 2015
Abstract of the Article
Environmental monitoring as technological endeavor has to deal with limitations in respect to transmission capacities, computational resources and storage space. Despite the progress in ICT, those limitations remain significant because of rising demands like real-time monitoring on the one hand and increased amount of observations on the other. The geostatistic method of kriging, originally developed to manage spatial uncertainty, provides elaborate means for spatio-temporal interpolation and is therefore the method of choice wherever continuous phenomena are to be monitored by discrete observations. With its associated confidence estimation, the method can also be exploited to solve other problems like fusion of sub-models for continuous real-time updates or filtering massive sensor streams. In this work, we suggest a system, substantially based on kriging, to filter, process, interpolate, monitor and archive sensor data streams. We incorporate several algorithmic and technical solutions into this system and evaluate them by simulated and real data.
Pages 27 - 36
Additional Information 10.2991/ict4s-env-15.2015.4
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