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Geological disaster monitoring based...

Durrani, Tariq S.

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Geological disaster monitoring based on sensor networks

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Geological disaster monitoring based on sensor networks/ edited by Tariq S. Durrani, Wei Wang, Sheila M Forbes.
其他作者:	Durrani, Tariq S.
出版者:	Singapore :Springer Singapore : : 2019.,
面頁冊數:	vi, 214 p. :ill., digital ;24 cm.
內容註:	Preface -- Introduction -- Application of Dense Offshore Tsunami Observations from Ocean Bottom Pressure Gauges (OBPGs) for Tsunami Research and Early Warnings -- Remote Sensing for Natural or Man-made Disasters and Environmental Changes -- Classification of Post-Earthquake High Resolution Images using Adaptive Dynamic Region Merging and Gravitational Self-Organizing Maps -- A Survey on the Role of Wireless Sensor Networks and IoT in Disaster Management -- Modelling of Earthquake Hazard and Secondary Effects for Loss Assessment in Marmara (Turkey) -- Unmanned Aerial Vehicles for Disaster Management -- Human Detection based on Radar Sensor Network in Natural Disaster -- Real-time Wind Velocity Monitoring based on Acoustic Tomography -- Intelligent Sub-meter Localization Based on OFDM Modulation Signal -- Conclusions and Final Comments.
Contained By:	Springer eBooks
標題:	Natural disasters. -
電子資源:	http://dx.doi.org/10.1007/978-981-13-0992-2
ISBN:	9789811309922

Geological disaster monitoring based on sensor networks
Geological disaster monitoring based on sensor networks[electronic resource] /edited by Tariq S. Durrani, Wei Wang, Sheila M Forbes. - Singapore :Springer Singapore :2019. - vi, 214 p. :ill., digital ;24 cm. - Springer natural hazards,2365-0656. - Springer natural hazards..

Preface -- Introduction -- Application of Dense Offshore Tsunami Observations from Ocean Bottom Pressure Gauges (OBPGs) for Tsunami Research and Early Warnings -- Remote Sensing for Natural or Man-made Disasters and Environmental Changes -- Classification of Post-Earthquake High Resolution Images using Adaptive Dynamic Region Merging and Gravitational Self-Organizing Maps -- A Survey on the Role of Wireless Sensor Networks and IoT in Disaster Management -- Modelling of Earthquake Hazard and Secondary Effects for Loss Assessment in Marmara (Turkey) -- Unmanned Aerial Vehicles for Disaster Management -- Human Detection based on Radar Sensor Network in Natural Disaster -- Real-time Wind Velocity Monitoring based on Acoustic Tomography -- Intelligent Sub-meter Localization Based on OFDM Modulation Signal -- Conclusions and Final Comments.

This book presents the outcomes of the workshop sponsored by the National Natural Sciences Foundation of China and the UK Newton Fund, British Council Researcher Links. The Workshop was held in Harbin, China, from 14 to 17 July 2017, and brought together some thirty young (postdoctoral) researchers from China and the UK specializing in geosciences, sensor signal networks and their applications to natural disaster recovery. The Workshop presentations covered the state of the art in the area of disaster recovery and blended wireless sensor systems that act as early warning systems to mitigate the consequences of disasters and function as post-disaster recovery vehicles. This book promotes knowledge transfer and helps readers explore and identify research opportunities by highlighting research outcomes in the internationally relevant area of disaster recovery and mitigation.

ISBN: 9789811309922

Standard No.: 10.1007/978-981-13-0992-2doiSubjects--Topical Terms:

539084
Natural disasters.

LC Class. No.: GB5014

Dewey Class. No.: 551

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520 $a This book presents the outcomes of the workshop sponsored by the National Natural Sciences Foundation of China and the UK Newton Fund, British Council Researcher Links. The Workshop was held in Harbin, China, from 14 to 17 July 2017, and brought together some thirty young (postdoctoral) researchers from China and the UK specializing in geosciences, sensor signal networks and their applications to natural disaster recovery. The Workshop presentations covered the state of the art in the area of disaster recovery and blended wireless sensor systems that act as early warning systems to mitigate the consequences of disasters and function as post-disaster recovery vehicles. This book promotes knowledge transfer and helps readers explore and identify research opportunities by highlighting research outcomes in the internationally relevant area of disaster recovery and mitigation.
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