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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.
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.
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
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.
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.
Effective utilization of satellite positioning, remote sensing, and GIS in disaster monitoring and management requires research and development in numerous areas, including data collection, information extraction and analysis, data standardization, organizational and legal aspects of sharing of remote sensing information. This book provides a solid overview of what is being developed in the risk prevention and disaster management sector.
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.
Extreme weather and climate change aggravate the frequency and magnitude of disasters. Facing atypical and more severe events, existing early warning and response systems become inadequate both in scale and scope. Earth Observation (EO) provides today information at global, regional and even basin scales related to agrometeorological hazards. This book focuses on drought, flood, frost, landslides, and storms/cyclones and covers different applications of EO data used from prediction to mapping damages as well as recovery for each category. It explains the added value of EO technology in comparison with conventional techniques applied today through many case studies.
The beginning of the new millennium has been particularly devastating in terms of natural disasters associated with tectonic plate boundaries, such as earthquakes in Sumatra, Chile, Japan, Tahiti, and Nepal; the Indian Ocean and the Pacific Ocean tsunamis; and volcanoes in Indonesia, Chile, Iceland that have produced large quantities of ash causing major disruption to aviation. In total, half a million people were killed by such natural disasters. These recurring events have increased our awareness of the destructive power of natural hazards and the major risks associated with them. While we have come a long way in the search for understanding such natural phenomena, and although our knowledge of Earth dynamics and plate tectonics has improved enormously, there are still fundamental uncertainties in our understanding of natural hazards. Increased understanding is crucial to improve our capacity for hazard prediction and mitigation. Volume highlights include: Main concepts associated with tectonic plate boundaries Novel studies on boundary-related natural hazards Fundamental concepts that improve hazard prediction and mitigation Plate Boundaries and Natural Hazards will be a valuable resource for scientists and students in the fields of geophysics, geochemistry, plate tectonics, natural hazards, and climate science. Read an interview with the editors to find out more: https://eos.org/editors-vox/plate-boundaries-and-natural-hazards
The Sendai Framework for Disaster Risk Reduction 2015–2030 has identified four priority areas for Disaster Risk Reduction: understanding disaster risk; strengthening disaster risk governance to manage disaster risk; investing in disaster risk reduction for resilience and enhancing disaster preparedness for effective response; and to "Build Back Better" in recovery, rehabilitation and reconstruction. Although tremendous progress has been made in recent decades in understanding the workings of the Earth systems and, in particular, its impacts on and responses to human actions, there remains a continuing and pressing need for knowledge that will allow society to simultaneously reduce exposure to global environmental hazards, while also meeting economic development goals. Exploring Natural Hazards: A Case Study Approach, contributes to the knowledge showcasing advanced practices for the monitoring of natural hazards. Through each case study, the book examines mainly hazards arising from processes within the hydrosphere and atmosphere, triggered or exacerbated by inputs to and transfers of energy between environmental components. It discusses the causes of these phenomena, and ways in which improved policy making, sometimes coupled with the application of appropriate modern technologies, can help to reduce people’s exposure to harm. Discussing challenges, lessons learned and recommendations, this book provides a snapshot of issues related to tropical cyclones and typhoons, desertification, floods, lightning as a hazard and the need for alert systems. It is a valuable resource for practitioners and professionals alike, for researchers, students and others who work at the intersection between environmental hazards, sustainable development and social justice.