HR: 0800h
AN: IN11A-0101    [Abstracts]
TI: Usage of Wireless Sensor Networks in a service based spatial data infrastructure for Landslide Monitoring and Early Warning
AU: * Arnhardt, C
EM: arnhardt@lih.rwth-aachen.de
AF: Chair of Engineering Geology and Hydrogeology (LIH), RWTH Aachen University, Lochnerstrasse 4-20, Aachen, 52064, Germany
AU: Fernandez-Steeger, T M
EM: fernandez-steeger@lih.rwth-aachen.de
AF: Chair of Engineering Geology and Hydrogeology (LIH), RWTH Aachen University, Lochnerstrasse 4-20, Aachen, 52064, Germany
AU: Walter, K
EM: kai.walter@uni-rostock.de
AF: Chair of Geodesy and Geoinformatics (GGR), Rostock University, Justus-von-Liebig-Weg 6, Rostock, 18059, Germany
AU: Kallash, A
EM: kallash@lih.rwth-aachen.de
AF: Chair of Engineering Geology and Hydrogeology (LIH), RWTH Aachen University, Lochnerstrasse 4-20, Aachen, 52064, Germany
AU: Niemeyer, F
EM: frank.niemeyer@uni-rostock.de
AF: Chair of Geodesy and Geoinformatics (GGR), Rostock University, Justus-von-Liebig-Weg 6, Rostock, 18059, Germany
AU: Azzam, R
EM: azzam@lih.rwth-aachen.de
AF: Chair of Engineering Geology and Hydrogeology (LIH), RWTH Aachen University, Lochnerstrasse 4-20, Aachen, 52064, Germany
AU: Bill, R
EM: ralf.bill@uni-rostock.de
AF: Chair of Geodesy and Geoinformatics (GGR), Rostock University, Justus-von-Liebig-Weg 6, Rostock, 18059, Germany
AB: The joint project Sensor based Landslide Early Warning System (SLEWS) aims at a systematic development of a prototyping alarm- and early warning system for the detection of mass movements by application of an ad hoc wireless sensor network (WSN). Next to the development of suitable sensor setups, sensor fusion and network fusion are applied to enhance data quality and reduce false alarm rates. Of special interest is the data retrieval, processing and visualization in GI-Systems. Therefore a suitable serviced based Spatial Data Infrastructure (SDI) will be developed with respect to existing and upcoming Open Geospatial Consortium (OGC) standards.The application of WSN provides a cheap and easy to set up solution for special monitoring and data gathering in large areas. Measurement data from different low-cost transducers for deformation observation (acceleration, displacement, tilting) is collected by distributed sensor nodes (motes), which interact separately and connect each other in a self-organizing manner. Data are collected and aggregated at the beacon (transmission station) and further operations like data pre-processing and compression can be performed. The WSN concept provides next to energy efficiency, miniaturization, real-time monitoring and remote operation, but also new monitoring strategies like sensor and network fusion. Since not only single sensors can be integrated at single motes either cross-validation or redundant sensor setups are possible to enhance data quality. The planned monitoring and information system will include a mobile infrastructure (information technologies and communication components) as well as methods and models to estimate surface deformation parameters (positioning systems). The measurements result in heterogeneous observation sets that have to be integrated in a common adjustment and filtering approach. Reliable real-time information will be obtained using a range of sensor input and algorithms, from which early warnings and prognosis may be derived. Implementation of sensor algorithms is an important task to form the business logic. This will be represented in self-contained web-based processing services (WPS). In the future different types of sensor networks can communicate via an infrastructure of OGC services using an interoperable way by standardized protocols as the Sensor Markup Language (SensorML) and Observations & Measurements Schema (O&M). Synchronous and asynchronous information services as the Sensor Alert Service (SAS) and the Web Notification Services (WNS) will provide defined users and user groups with time-critical readings from the observation site. Techniques using services for visualizing mapping data (WMS), meta data (CSW), vector (WFS) and raster data (WCS) will range from high detailed expert based output to fuzzy graphical warning elements.The expected results will be an advancement regarding classical alarm and early warning systems as the WSN are free scalable, extensible and easy to install.
DE: 1241 Satellite geodesy: technical issues (6994, 7969)
DE: 5194 Instruments and techniques
DE: 9805 Instruments useful in three or more fields
SC: Earth and Space Science Informatics [IN]
MN: 2007 Fall Meeting