Abstract
In this paper, an advanced self-organized monitoring sensor network in earth management is presented and an appropriate evaluation concept for the safety state of slopes based on data fusion and data mining methods to minimize false alarms and improve the criteria under which an early warning can be issued.
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Arnhardt, C., Fernandez-Steeger, T.M., Walter, K., Kallash, A., Niemeyer, F., Aazzam, R., Bill, R.: Usage of wireless sensor networks in a service based spatial infrastructure for landslide monitoring and early warning. In: American Geophysical Union Fall Meeting 2007, 10–14 December 2007, San Francisco (USA), Abstract IN 11A – 0101 (2007)
Fernandez-Steeger, T.M., Arnhardt, C., Niemeyer, F., Haß, S., Walter K., Homfeld, S.D., Nakaten, B., Post, C., Asch, K., Azzam, R., Bill, R., Ritter, H., Toloczyki, M.: Current status of SLEWS - a sensor based landslide early warning system. In: GEOTECHNOLOGIEN – Early Warning Systems in Earth Management, Status-Seminar, Osnabrück, 8–9 October (2008)
Bill, R., Niemeyer, F., Walter, K.: Konzeption einer Geodaten- und Geodiensteinfrastruktur als Frühwarnsystem für Hangrutschungen unter Einbeziehung von Echtzeit-Sensorik. In: GIS - Zeitschrift für Geoinformatik 2008, Nr. 1, S. 26–35 (2008)
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Azzam, R., Hu, H., Klapperich, H. (2018). Monitoring and Early Warning System in Earth Management - Based on Self-organized Fusion Sensor Networks. In: Wu, W., Yu, HS. (eds) Proceedings of China-Europe Conference on Geotechnical Engineering. Springer Series in Geomechanics and Geoengineering. Springer, Cham. https://doi.org/10.1007/978-3-319-97112-4_150
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DOI: https://doi.org/10.1007/978-3-319-97112-4_150
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