Early Warning for Geological Disasters

Scientific Methods and Current Practice

Nonfiction, Science & Nature, Science, Earth Sciences, Geophysics
Cover of the book Early Warning for Geological Disasters by , Springer Berlin Heidelberg
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Author: ISBN: 9783642122330
Publisher: Springer Berlin Heidelberg Publication: August 13, 2013
Imprint: Springer Language: English
Author:
ISBN: 9783642122330
Publisher: Springer Berlin Heidelberg
Publication: August 13, 2013
Imprint: Springer
Language: English

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:

  1. Research activities continue to improve early warning
  2. 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.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

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:

  1. Research activities continue to improve early warning
  2. 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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