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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
Total Pages: 270
Release: 2008-07-16
Genre: Science
ISBN: 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.

Remote Sensing of Natural Hazards

Remote Sensing of Natural Hazards
Author: Jay Gao
Publisher: CRC Press
Total Pages: 464
Release: 2023-06-16
Genre: Technology & Engineering
ISBN: 1000856119
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This book presents a comprehensive coverage of remote sensing technology used to gather information on 12 types of natural hazards in the terrestrial sphere, biosphere, hydrosphere, and atmosphere. It clarifies in detail how to yield spatial and quantitative data on a natural hazard, including its spatial distribution, severity, causes, and the likelihood of occurrence. The author explains multiple methods of attaining data, describes the pros and cons of each method, and encourages readers to choose the best method applicable to their case. The author offers a practical approach to data analysis using the most appropriate methods and software. 1. Covers all major natural hazards including hurricanes, tornadoes, wildfires, and avalanches. 2. Studies each natural hazard holistically, ranging from spatial extent, severity, impact assessment, causes, and prediction of occurrence. 3. Explains different remotely sensed data and the most appropriate method used. 4. Compares different ways of sensing and clarifies the pros and cons of any selected data or their analysis. 5. Provides ample examples of each aspect of a natural hazard studied augmented with graphic illustrations and quality assurance information. All professionals working in the field of natural hazards, senior undergraduate, and graduate students, will find in-depth approaches and sufficient information to become knowledgeable in the methods of yielding and analyzing data provided with remote sensing technology, ultimately providing a deeper understanding of natural hazards.

Remote Sensing for Hazard Monitoring and Disaster Assessment

Remote Sensing for Hazard Monitoring and Disaster Assessment
Author: Eric C Barrett
Publisher: CRC Press
Total Pages: 272
Release: 1991-11-28
Genre: Technology & Engineering
ISBN: 9782881248092
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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.

Natural Hazards GIS-Based Spatial Modeling Using Data Mining Techniques

Natural Hazards GIS-Based Spatial Modeling Using Data Mining Techniques
Author: Hamid Reza Pourghasemi
Publisher: Springer
Total Pages: 296
Release: 2018-12-13
Genre: Nature
ISBN: 3319733834
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This edited volume assesses capabilities of data mining algorithms for spatial modeling of natural hazards in different countries based on a collection of essays written by experts in the field. The book is organized on different hazards including landslides, flood, forest fire, land subsidence, earthquake, and gully erosion. Chapters were peer-reviewed by recognized scholars in the field of natural hazards research. Each chapter provides an overview on the topic, methods applied, and discusses examples used. The concepts and methods are explained at a level that allows undergraduates to understand and other readers learn through examples. This edited volume is shaped and structured to provide the reader with a comprehensive overview of all covered topics. It serves as a reference for researchers from different fields including land surveying, remote sensing, cartography, GIS, geophysics, geology, natural resources, and geography. It also serves as a guide for researchers, students, organizations, and decision makers active in land use planning and hazard management.

Interpreting Aerial Photographs to Identify Natural Hazards

Interpreting Aerial Photographs to Identify Natural Hazards
Author: Charles E. Glass
Publisher: Elsevier
Total Pages: 185
Release: 2013-08-14
Genre: Science
ISBN: 0124200281
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Authored by a world-renowned aerial photography and remote sensing expert, Geographic Aerial Photography: Identifying Earth-Surface Hazards Through Image Interpretation is the most practical and authoritative reference available for any professional or student looking for a reference on how to recognize, analyze, interpret and avoid – or successfully plan for – dangerous contingencies. Whether they are related to natural terrain, geology, vegetation, hydrology or land use patterns – it’s critical for you to be able to recognize dangerous conditions when and where they exist. Failure to adequately recognize and characterize geomorphic, geologic, and hydrologic dangers on the ground using aerial photography is one of the major factors contributing to due to natural hazards and disasters, damage to architectural structures, and often the subsequent loss of human life as a result. Aerial photographs provide one of the most prevalent, inexpensive and under-utilized tools to those with the knowledge and expertise to interpret them. Authored by one of the world’s experts in aerial photography and remote sensing, with more than 35 years of experience in research and instruction Features more than 100 color photographs to vividly explore the fundamental principles of aerial photography Chapter tables underscore key concepts including channel size and shape characteristics, image scales, reverse fault values, and strike-slip fault systems

Remote Sensing of Natural Hazards

Remote Sensing of Natural Hazards
Author: Bayes Ahmed
Publisher:
Total Pages: 0
Release: 2022
Genre:
ISBN: 9783036543079
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Each year, natural hazards such as earthquakes, cyclones, flooding, landslides, wildfires, avalanches, volcanic eruption, extreme temperatures, storm surges, drought, etc., result in widespread loss of life, livelihood, and critical infrastructure globally. With the unprecedented growth of the human population, largescale development activities, and changes to the natural environment, the frequency and intensity of extreme natural events and consequent impacts are expected to increase in the future.Technological interventions provide essential provisions for the prevention and mitigation of natural hazards. The data obtained through remote sensing systems with varied spatial, spectral, and temporal resolutions particularly provide prospects for furthering knowledge on spatiotemporal patterns and forecasting of natural hazards. The collection of data using earth observation systems has been valuable for alleviating the adverse effects of natural hazards, especially with their near real-time capabilities for tracking extreme natural events. Remote sensing systems from different platforms also serve as an important decision-support tool for devising response strategies, coordinating rescue operations, and making damage and loss estimations.With these in mind, this book seeks original contributions to the advanced applications of remote sensing and geographic information systems (GIS) techniques in understanding various dimensions of natural hazards through new theory, data products, and robust approaches.

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
Total Pages: 873
Release: 2018-06-23
Genre: Science
ISBN: 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.

Social Sensing and Big Data Computing for Disaster Management

Social Sensing and Big Data Computing for Disaster Management
Author: Zhenlong Li
Publisher: Routledge
Total Pages: 233
Release: 2020-12-17
Genre: Social Science
ISBN: 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.

Natural Hazards

Natural Hazards
Author: R. P. Singh
Publisher: CRC Press
Total Pages: 506
Release: 2020-06-30
Genre:
ISBN: 9780367571917
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This book addresses relevant aspects of earthquakes, volcanoes, and landslides from a scientific and applied engineering perspective. It aims to provide information on the physics and physical processes, indicators, monitoring, mitigation, and geology of these natural hazards.

Remote Sensing for Natural Hazards Assessment and Control

Remote Sensing for Natural Hazards Assessment and Control
Author: Paolo Mazzanti
Publisher: Mdpi AG
Total Pages: 0
Release: 2023-02-28
Genre: Science
ISBN: 9783036568324
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Each year, natural hazards, such as earthquakes, landslides, avalanches, tsunamis, floods, wildfires, severe storms, and drought, affect humans worldwide, resulting in deaths, suffering, and economic losses. According to insurance broker Aon, 2010-2019 was the worst decade on record for economic losses due to disasters triggered by natural hazards, amounting to USD 3 trillion, which is USD 1 trillion more than for the period of 2000-2009. In 2019, the economic losses from disasters caused by natural hazards were estimated at over USD 200 billion (UNDRR Annual Report, 2019). In this context, remote sensing shows high potential to provide valuable information, at various spatial and temporal scales, concerning natural processes and their associated risks. The recent advances in remote sensing technologies and analysis, in terms of sensors, platforms, and techniques, are strongly contributing to the development of natural hazards research. With this Special Issue titled "Remote Sensing for Natural Hazards Assessment and Control", we proposed state-of-the-art research that specifically addresses multiple aspects on the use of remote sensing (RS) for Natural Hazards (NH). The aim was therefore to collect innovative methodologies, expertise, and capabilities to detect, assess, monitor, and model natural hazards. The present Special Issue of Remote Sensing encompasses 18 open access papers presenting scientific studies based on the exploitation of a broad range of RS data and techniques, as well as focusing on a well-assorted sample of NH types.