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Author: Zhenlong Li Publisher: Routledge ISBN: 1000261530 Category : Social Science Languages : en Pages : 233
Book Description
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.
Author: Zhenlong Li Publisher: Routledge ISBN: 1000261530 Category : Social Science Languages : en Pages : 233
Book Description
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.
Author: Shailesh Nayak Publisher: Springer Science & Business Media ISBN: 3540792597 Category : Science Languages : en Pages : 270
Book Description
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.
Author: Matthew Lauer Publisher: Univ of California Press ISBN: 0520392051 Category : Disaster relief Languages : en Pages : 291
Book Description
"In 2007, a tsunami slammed a small island in the western Solomon Islands, wreaking havoc on its coastal communities and ecosystems. Drawing on over ten years of ethnographic and environmental science research, Matthew Lauer provides an intimate account of this catastrophic event that explores how a century of colonization, Christianity, and increasing entanglement with capitalism prefigured the local response and the tumultuous recovery process. Despite near total destruction of several villages, few people lost their lives, as nearly everyone fled to high ground before the tsunami struck. To understand their astonishing, lifesaving response, Lauer argues that we need to rethink the popular portrayals of indigenous ecological knowledge that inform environmental research and contemporary disaster mitigation strategies so as to avoid displacing those aspects of indigenous knowing and being that tend to be overlooked. In an increasingly disaster-prone era of ecological crises, this important study challenges readers to expand their thinking about the causes and consequences of calamities, the effects of disaster relief and recovery efforts, and the nature of local knowledge"--
Author: Matthew Lauer Publisher: Univ of California Press ISBN: 0520392078 Category : Disaster relief Languages : en Pages : 291
Book Description
"In 2007, a tsunami slammed a small island in the western Solomon Islands, wreaking havoc on its coastal communities and ecosystems. Drawing on over ten years of ethnographic and environmental science research, Matthew Lauer provides an intimate account of this catastrophic event that explores how a century of colonization, Christianity, and increasing entanglement with capitalism prefigured the local response and the tumultuous recovery process. Despite near total destruction of several villages, few people lost their lives, as nearly everyone fled to high ground before the tsunami struck. To understand their astonishing, lifesaving response, Lauer argues that we need to rethink the popular portrayals of indigenous ecological knowledge that inform environmental research and contemporary disaster mitigation strategies so as to avoid displacing those aspects of indigenous knowing and being that tend to be overlooked. In an increasingly disaster-prone era of ecological crises, this important study challenges readers to expand their thinking about the causes and consequences of calamities, the effects of disaster relief and recovery efforts, and the nature of local knowledge"--
Author: Kazuya Kaku Publisher: Cambridge Scholars Publishing ISBN: 1527541614 Category : Science Languages : en Pages : 315
Book Description
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.
Author: Adil Denizli Publisher: Elsevier ISBN: 0323998283 Category : Technology & Engineering Languages : en Pages : 352
Book Description
Nanotechnology-Based Smart Remote Sensing Networks for Disaster Prevention outlines how nanotechnology and space technology could be applied for the detection of disaster risks in early stages, using cheap sensors, cheap constellations of low Earth orbit (LEO) satellites, and smart wireless networks with artificial intelligence (AI) tools. Nanomaterial-based sensors (nanosensors) can offer several advantages over their micro-counterparts, such as lower power or self-powered consumption, high sensitivity, lower concentration of analytes, and smaller interaction distances between the object and the sensor. Besides this, with the support of AI tools, such as fuzzy logic, genetic algorithms, neural networks, and ambient intelligence, sensor systems are becoming smarter when a large number of sensors are used. This book is an important reference source for materials scientists, engineers, and environmental scientists who are seeking to understand how nanotechnology-based solutions can help mitigate natural disasters. Shows how nanotechnology-based solutions can be combined with space technology to provide more effective disaster management solutions Explores the best materials for manufacturing different types of nanotechnology-based remote sensing devices Assesses the challenges of creating a nanotechnology-based disaster mitigation system in a cost-effective way
Author: Zhenlong Li Publisher: Routledge ISBN: 1000261492 Category : Social Science Languages : en Pages : 205
Book Description
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.
Author: Eric C Barrett Publisher: CRC Press ISBN: 9782881248092 Category : Technology & Engineering Languages : en Pages : 272
Book Description
Concern for environment hazards, plus the real or potential disasters they may prompt, is growing fast as populations and living standards rise. Fortunately, at the same time both the science and technology of space-based mapping and monitoring of our terrestrial environment are maturing fast. This book explores the principles and practices of environmental remote sensing, especially the techniques available for data processing, interpretation and analysis. The applicability of remotely sensed data to marine and coastal hazard monitoring and disaster assessment is described and discussed with special reference to problems endemic to he Mediterranean region, including earthquakes, vulcanicity, soil erosion and degradation, vegetation and crop damage, severe weather phenomena, marine conditions, and air and water pollution. This book will be of particular interest to graduate students, scientists and technical officers involved in environmental protection and management, and to national international relief agencies, both in the Mediterranean region itself and elsewhere.
Author: Jungho Im Publisher: MDPI ISBN: 3039433229 Category : Science Languages : en Pages : 232
Book Description
Remote sensing data and techniques have been widely used for disaster monitoring and assessment. In particular, recent advances in sensor technologies and artificial intelligence-based modeling are very promising for disaster monitoring and readying responses aimed at reducing the damage caused by disasters. This book contains eleven scientific papers that have studied novel approaches applied to a range of natural disasters such as forest fire, urban land subsidence, flood, and tropical cyclones.
Author: Kazuya Kaku Publisher: Cambridge Scholars Publishing ISBN: 152757458X Category : Technology & Engineering Languages : en Pages : 303
Book Description
This book brings together a number of holistic case-studies focusing on the application of satellite remote sensing to disaster management. It highlights the human factors behind such application, and explores the various fields in which it can be used.
Author: Zhenlong Li
Author: Zhenlong Li
Author: Shailesh Nayak
Author: Matthew Lauer
Author: Matthew Lauer
Author: Kazuya Kaku
Author: Adil Denizli
Author: Zhenlong Li
Author: Eric C Barrett
Author: Jungho Im
Author: Kazuya Kaku