Remote Sensing And Gis Technologies For Monitoring And Prediction Of Disasters

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.

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.

Disasters refer to severe disruptions that affect the functioning of a community, to an extent which is beyond its coping capacity using its own resources. Technical, natural, and man-made risks, along with a number of other factors make a community vulnerable and exposed to disasters. Remote sensing is a technique of gathering data about the Earth through the use of satellites and drones. Remote sensing data is helpful in monitoring, predicting, and managing disasters. Satellites contain sensors that are capable of taking measurements at regular intervals and at different wavelengths. All the data collected by these sensors can be used for disaster monitoring. It can also be utilized to estimate the rate of recovery in disaster-affected regions, based on signs such as reconstruction, vegetation regrowth, and debris removal. The topics covered in this extensive book deal with the application of remote sensing technologies for monitoring and prediction of disasters. It will provide comprehensive knowledge to the readers.

A comprehensive guide to managing and mitigating natural disasters Recent years have seen a surge in the number, frequency, and severity of natural disasters, with further increases expected as the climate continues to change. However, advanced computational and geospatial technologies have enabled the development of sophisticated early warning systems and techniques to predict, manage, and mitigate disasters.Techniques for Disaster Risk Management and Mitigation explores different approaches to forecasting disasters and provides guidance on mitigation and adaptation strategies. Volume highlights include: Review of current and emerging technologies for disaster prediction Different approaches to risk management and mitigation Strategies for implementing disaster plans and infrastructure improvements Guidance on integrating artificial intelligence with GIS and earth observation data Examination of the regional and global impacts of disasters under climate variability

Geo-information technology can be of considerable use in disaster management, but with considerable challenge in integrating systems, interoperability and reliability. This book provides a broad overview of geo-information technology, software, systems needed, currently used and to be developed for disaster management. The text invites discussion on systems and requirements for use of geo-information under time and stress constraints and unfamiliar situations, environments and circumstances.

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.

Modern Technologies for Landslide Investigation and Prediction presents eleven contributed chapters from Chinese and Italian authors, as a follow-up of a bilateral workshop held in Shanghai on September 2013. Chapters are organized in three main parts: ground-based monitoring techniques (photogrammetry, terrestrial laser scanning, ground-based InSAR, infrared thermography, and GNSS networks), geophysical (passive seismic sensor networks) and geotechnical methods (SPH and SLIDE), and satellite remote-sensing techniques (InSAR and optical images). Authors of these contributes are internationally-recognized experts in their respective research fields. Marco Scaioni works in the college of Surveying and Geo-Informatics at Tongji University, Shanghai (P.R. China). His research fields are mainly Close-range Photogrammetry, Terrestrial Laser Scanning, and other ground-based sensors for metrological and deformation monitoring applications to structural engineering and geosciences. In the period 2012-2016 he is chairman of the Working Group V/3 in the International Society for Photogrammetry and Remote Sensing, focusing on ‘Terrestrial 3D Imaging and Sensors’.

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.

"The success of natural disaster study depends on updated, accurate, and exact information. This information should be collected and arranged logically to enable appropriate authorities of all levels, such as state officials and urban planners, to address crises before, during, and after the event. Modern technologies, including remote sensing methods and geographic information systems, enable the collection of information that satisfies the requirements of natural disaster studies. Computer systems provide for the collecting, saving, retrieving, processing, and analyzing of data, and can produce visual outputs such as tables and graphs. Such systems also give authorities access to information like routes to damaged areas, health care stations, police, firefighters, auxiliary forces, possible landing spots for helicopters and airplanes, places for reserving food and rescue devices, and urban infrastructure as well as addresses, phone numbers, and email addresses of residents or communication facilities. Remote sensing and geographic information system development can integrate all this information by organizing it into layers and creating maps in both digital and physical formats. Data represented by geographic information systems are linked to geographical coordinate systems, enabling ease of access. Such resources are critical for analyzing, comparing, and fully understanding crises. The archival of previously processed information opens opportunities for decision makers to solve problems more effectively. These are the main concepts explored in this book"--