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Remote Sensing and GIS Technologies for Monitoring and Prediction of Disasters 2008 ed. [Hardback]

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  • Formāts: Hardback, 272 pages, height x width: 235x155 mm, weight: 594 g, 96 Illustrations, black and white; X, 272 p. 96 illus., 1 Hardback
  • Sērija : Environmental Science
  • Izdošanas datums: 25-Jul-2008
  • Izdevniecība: Springer-Verlag Berlin and Heidelberg GmbH & Co. K
  • ISBN-10: 3540792589
  • ISBN-13: 9783540792581
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  • Hardback
  • Cena: 136,16 €*
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  • Formāts: Hardback, 272 pages, height x width: 235x155 mm, weight: 594 g, 96 Illustrations, black and white; X, 272 p. 96 illus., 1 Hardback
  • Sērija : Environmental Science
  • Izdošanas datums: 25-Jul-2008
  • Izdevniecība: Springer-Verlag Berlin and Heidelberg GmbH & Co. K
  • ISBN-10: 3540792589
  • ISBN-13: 9783540792581
Citas grāmatas par šo tēmu:

Lessons learned in the last several years have given clear indications that the prediction and efficient monitoring of disasters is one of the critical factors in decision-making process. In this respect space-based technologies have the great potential of supplying information in near real time. Earth observation satellites have already demonstrated their flexibility in providing data to a wide range of applications: weather forecasting, person and vehicle tracking, alerting to disaster, forest fire and flood monitoring, oil spills, spread of desertification, monitoring of crop and forestry damages.

This book focuses on a wider utilisation of remote sensing in disaster management. The discussed aspects comprise data access/delivery to the users, information extraction and analysis, management of data and its integration with other data sources (airborne and terrestrial imagery, GIS data, etc.), data standardization, organisational and legal aspects of sharing remote sensing information.



Lessons recently learned have given clear indications that the prediction and efficient monitoring of disasters is one of the critical factors in decision-making process. This book focuses on a wider utilisation of remote sensing in disaster management.

Recenzijas

From the reviews:

The book has brought together a wide variety of remote sensing and GIS applications and their integrations with other techniques for disaster management and emergency response handling. Inclusion of practical examples drawn from case studies makes it easier for the reader to understand the theoretical concepts. a basic guide for the beginners who are interested in gaining technical expertise in the field of remote sensing and GIS applications for disaster management and emergency response handling. (Ranjani Wasantha Kulawardhana, International Journal of Digital Earth, Vol. 4 (6), November, 2011)

Use of Geo-Information technology in large disasters.-
Geoinformation-Based Response to the 27 May Indonesia Earthquake an Initial
Assessment.- The Application of Geo-Technologies after Hurricane Katrina.-
Application of Remote Sensing for Damage Assessment of Coastal Ecosystems in
India due to the December 2004 Tsunami.- Increasing the Use of Geospatial
Technologies for Emergency Response and Disaster Rehabilitation in Developing
Countries.- Remote Sensing Technology for Disaster Monitoring.- Adopting
Multisensor Remote Sensing Datasets and Coupled Models for Disaster
Management.- Nearshore Coastal Processes Between Karwar and Bhatal, Central
West Coast of India: Implications for Pollution Dispersion.- Landslide Hazard
Zonation in Darjeeling Himalayas: a Case Study on Integration of IRS and SRTM
Data.- Monitoring and Interpretation of Urban Land Subsidence Using Radar
Interferometric Time Series and Multi-Source GIS Database.- Extending the
Functionality of the Consumer-Grade GPS for More Efficient GIS and Mapping
Applications.- System Architectures for Access of Geo-Information.-
Interoperable Access Control for Geo Web Services in Disaster Management.-
Spatial Data Infrastructure for Emergency Response in Netherlands.-
Geocollaboration in Hazard, Risk and Response: Practical Experience with
Real-Time Geocollaboration at Québec Civil Security.- On-line Street Network
Analysis for Flood Evacuation Planning.- Multi-user tangible interfaces for
effective decision-making in disaster management.