Sensing Disaster

Sensing Disaster

Author: Dr. Matthew Lauer

Publisher: Univ of California Press

Published: 2023-03-07

Total Pages: 291

ISBN-13: 0520392086

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In 2007, a three-story-high tsunami slammed the small island of Simbo in the western Solomon Islands. Drawing on over ten years of research, Matthew Lauer provides a vivid and intimate account of this calamitous event and the tumultuous recovery process. His stimulating analysis surveys the unpredictable entanglements of the powerful waves with colonization, capitalism, human-animal communication, spirit beings, ancestral territory, and technoscientific expertise that shaped the disaster’s outcomes. Although the Simbo people had never experienced another tsunami in their lifetimes, nearly everyone fled to safety before the destructive waves hit. To understand their astonishing response, Lauer argues that we need to rethink popular and scholarly portrayals of Indigenous knowledge to avert epistemic imperialism and improve disaster preparedness strategies. In an increasingly disaster-prone era of ecological crises, this provocative book brings new possibilities into view for understanding the causes and consequences of calamity, the unintended effects of humanitarian recovery and mitigation efforts, and the nature of local knowledge.


Remote Sensing and GIS Technologies for Monitoring and Prediction of Disasters

Remote Sensing and GIS Technologies for Monitoring and Prediction of Disasters

Author: Shailesh Nayak

Publisher: Springer Science & Business Media

Published: 2008-07-16

Total Pages: 270

ISBN-13: 3540792597

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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.


Social Sensing and Big Data Computing for Disaster Management

Social Sensing and Big Data Computing for Disaster Management

Author: Zhenlong Li

Publisher: Routledge

Published: 2020-12-17

Total Pages: 233

ISBN-13: 1000261530

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Social Sensing and Big Data Computing for Disaster Management captures recent advancements in leveraging social sensing and big data computing for supporting disaster management. Specifically, analysed within this book are some of the promises and pitfalls of social sensing data for disaster relevant information extraction, impact area assessment, population mapping, occurrence patterns, geographical disparities in social media use, and inclusion in larger decision support systems. Traditional data collection methods such as remote sensing and field surveying often fail to offer timely information during or immediately following disaster events. Social sensing enables all citizens to become part of a large sensor network which is low cost, more comprehensive, and always broadcasting situational awareness information. However, data collected with social sensing is often massive, heterogeneous, noisy, and unreliable in some aspects. It comes in continuous streams, and often lacks geospatial reference information. Together, these issues represent a grand challenge toward fully leveraging social sensing for emergency management decision making under extreme duress. Meanwhile, big data computing methods and technologies such as high-performance computing, deep learning, and multi-source data fusion become critical components of using social sensing to understand the impact of and response to the disaster events in a timely fashion. This book was originally published as a special issue of the International Journal of Digital Earth.


Remote Sensing of Water Resources, Disasters, and Urban Studies

Remote Sensing of Water Resources, Disasters, and Urban Studies

Author: Ph.D., Prasad S. Thenkabail

Publisher: CRC Press

Published: 2015-10-02

Total Pages: 695

ISBN-13: 1482217929

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This book is the most comprehensive documentation of the scientific and methodological advances that have taken place in understanding remote sensing data, methods, and applications over last 50 years. In a very practical way it demonstrates the experience, utility, methods and models used in studying a wide array of water applications. There are more than 100 leading global experts in the field contributing to this work.


An Introduction to Applying Satellite Remote Sensing to Disaster Management

An Introduction to Applying Satellite Remote Sensing to Disaster Management

Author: Kazuya Kaku

Publisher: Cambridge Scholars Publishing

Published: 2019-10-15

Total Pages: 315

ISBN-13: 1527541614

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This study on the application of satellite remote sensing in disaster management is unique in the sense that it is based on 13 years of empirical study, takes human factors (users) into account. It provides an overview of satellite remote sensing, detailing how it works and for what fields of disaster management it can be used. This book will particularly appeal to practitioners (such as disaster responders, policy makers, and administrative officials) and researchers in the field of disaster management, as well as researchers in the satellite-remote-sensing field.


Remote Sensing Handbook - Three Volume Set

Remote Sensing Handbook - Three Volume Set

Author: Prasad Thenkabail

Publisher: CRC Press

Published: 2018-10-03

Total Pages: 2262

ISBN-13: 1482282674

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A volume in the three-volume Remote Sensing Handbook series, Remote Sensing of Water Resources, Disasters, and Urban Studies documents the scientific and methodological advances that have taken place during the last 50 years. The other two volumes in the series are Remotely Sensed Data Characterization, Classification, and Accuracies, and Land Reso


Earthquake Hazard, Risk and Disasters

Earthquake Hazard, Risk and Disasters

Author: Rasoul Sorkhabi

Publisher: Academic Press

Published: 2014-06-16

Total Pages: 607

ISBN-13: 0123964725

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Earthquake Hazard, Risk, and Disasters presents the latest scientific developments and reviews of research addressing seismic hazard and seismic risk, including causality rates, impacts on society, preparedness, insurance and mitigation. The current controversies in seismic hazard assessment and earthquake prediction are addressed from different points of view. Basic tools for understanding the seismic risk and to reduce it, like paleoseismology, remote sensing, and engineering are discussed. - Contains contributions from expert seismologists, geologists, engineers and geophysicists selected by a world-renowned editorial board - Presents the latest research on seismic hazard and risk assessment, economic impacts, fatality rates, and earthquake preparedness and mitigation - Includes numerous illustrations, maps, diagrams and tables addressing earthquake risk reduction - Features new insights and reviews of earthquake prediction, forecasting and early warning, as well as basic tools to deal with earthquake risk


Proceedings of International Conference on Remote Sensing for Disaster Management

Proceedings of International Conference on Remote Sensing for Disaster Management

Author: Peddada Jagadeeswara Rao

Publisher: Springer

Published: 2018-06-23

Total Pages: 851

ISBN-13: 3319772767

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The natural disasters are the killer agents which can/can't be predicted even though we have modern technology. Every year, in one place or another, disasters striking which is devastating the area and surroundings, leading to ecological disruption besides huge loss of life and property. India is vulnerable to cyclones, landslides/avalanches, earthquakes, floods, droughts, forest fires, epidemics, etc. The 5700-km long coast of India, with its dense population is vulnerable to cyclones/low depressions, tsunamis, etc. The 2400-km long rugged Himalayan terrain is vulnerable to landslides, avalanches and earthquakes. India is not only vulnerable to natural disasters, it is also experiencing industrial accidents. The Bhopal Gas tragedy is one of the major man-made disasters in the world. The state of Andhra Pradesh has 970-km long coastline with two major rivers, etc. The conference is conducted in Visakhapatnam, is famous for industries and tourism. Recently, several industrial accidents took place, besides major natural disasters like Hud-Hud, etc. Disaster management shall be implemented from the grass root level in vulnerable areas to improve the capacity building, so as to minimize the losses. The capacity building coupled with technology results in reduction of loss of life and property.


Large-Scale Disasters

Large-Scale Disasters

Author: Mohamed Gad-el-Hak

Publisher: Cambridge University Press

Published: 2008-06-23

Total Pages: 569

ISBN-13: 1139472291

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'Extreme' events - including climatic events, such as hurricanes, tornadoes, drought - can cause massive disruption to society, including large death tolls and property damage in the billions of dollars. Events in recent years have shown the importance of being prepared and that countries need to work together to help alleviate the resulting pain and suffering. This volume presents an integrated review of the broad research field of large-scale disasters. It establishes a common framework for predicting, controlling and managing both manmade and natural disasters. There is a particular focus on events caused by weather and climate change. Other topics include air pollution, tsunamis, disaster modeling, the use of remote sensing and the logistics of disaster management. It will appeal to scientists, engineers, first responders and health-care professionals, in addition to graduate students and researchers who have an interest in the prediction, prevention or mitigation of large-scale disasters.


Intelligent Computing Technology and Automation

Intelligent Computing Technology and Automation

Author: Z. Hou

Publisher: IOS Press

Published: 2024-02-08

Total Pages: 1248

ISBN-13: 1643684876

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Artificial Intelligence (AI) is a rapidly developing field of computer science which integrates multiple disciplines such as computer science, psychology, and philosophy. It is a technology that develops theories, methods, technologies, and application systems to simulate, extend, and expand human intelligence by attempting to understand its essence, producing a new, intelligent machine that can respond in a way similar to human intelligence. Artificial intelligence now plays an increasingly important role in the development of global industries and economies, and as such is currently changing our world significantly, making AI research a hot topic worldwide. This book presents the proceedings of ICICTA 2023, the 16th International Conference on Intelligent Computing Technology and Automation, held on 24-25 October 2023 in Xi’an, China. The conference is an annual forum dedicated to emerging and challenging topics in AI and its applications, and its aim is to bring together an international community of researchers and practitioners in the field of AI to share the latest research achievements, discuss recent advances influence future direction, and promote the diffusion of the discipline throughout the scientific community at large. A total of 322 submissions were received for ICICTA 2023, and each paper received at least 2 review reports in a rigorous peer-review procedure. Based on these reports, 141 papers were ultimately accepted and are included in this book. The book offers a current overview of developments in AI technology, and will be of interest to all those working in the field.