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Early Warning for Geological Disasters electronic resource Scientific Methods and Current Practice / edited by Friedemann Wenzel, Jochen Zschau.

Contributor(s): Wenzel, Friedemann [editor.] | Zschau, Jochen [editor.] | SpringerLink (Online service)Material type: TextTextSeries: Advanced Technologies in Earth SciencesPublication details: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2014Description: XV, 379 p. 143 illus., 114 illus. in color. online resourceContent type: text Media type: computer Carrier type: online resourceISBN: 9783642122330Subject(s): geography | Physical geography | geology | Ecology | earth sciences | Geophysics/Geodesy | Geotechnical Engineering & Applied Earth Sciences | Natural Hazards | Geoecology/Natural ProcessesDDC classification: 550 | 526.1 LOC classification: QC801-809Online resources: Click here to access online In: Springer eBooksSummary: The past years have seen new technologies that could be utilized for early warning and real-time loss estimation. They include self-organizing sensor networks, new satellite imagery with high resolution, multi-sensor observational capacities, and crowd sourcing. From this and improved physical models, data processing and communication methodologies a significant step towards better early warning technologies has been achieved by research. At the same time, early warning systems became part of the disaster management practice for instance in Japan and Indonesia. This book marks the important point where: Research activities continue to improve early warning Experience with applications is expanding At this critical point in development of early warning for geological disasters it is timely to provide a volume that documents the state-of-the-art, provides an overview on recent developments and serves as knowledge resource for researcher and practitioners.
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The past years have seen new technologies that could be utilized for early warning and real-time loss estimation. They include self-organizing sensor networks, new satellite imagery with high resolution, multi-sensor observational capacities, and crowd sourcing. From this and improved physical models, data processing and communication methodologies a significant step towards better early warning technologies has been achieved by research. At the same time, early warning systems became part of the disaster management practice for instance in Japan and Indonesia. This book marks the important point where: Research activities continue to improve early warning Experience with applications is expanding At this critical point in development of early warning for geological disasters it is timely to provide a volume that documents the state-of-the-art, provides an overview on recent developments and serves as knowledge resource for researcher and practitioners.

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