Application Of Remote Sensing For The Prediction Monitoring And Assessment Of Hazards And Disasters That Impact Transportation

Although remote sensing has been used in predicting, monitoring, and assessing hazards and disasters for over 50 years, its use in the transportation domain is still in its infancy. This study was conducted to identify the research needs involving the use of remote sensing for such applications within the transportation domain. The first step taken was to determine the current state of remote sensing applications in the transportation domain associated with the prediction, monitor, and assessment of hazards and disasters. The second step was to identify the impacts that such events may cause and the information needed to prevent or reduce their impacts. With the knowledge of the required information, remote sensing requirements and technology limitations were defined. Then according to the knowledge of the current state of research and the limitations of remote systems, future research needs were identified. Finally, the Analytic Hierarchy Process (AHP) was used to rank these research needs.

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.

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.

Applications of remote sensing technology for monitoring and predicting water-related hazards Water-related hazards such as floods and droughts have serious impacts on society. Their incidence has increased in recent decades, a trend set to continue with ongoing climate change. Adaptation and mitigation measures require accurate detection, monitoring, and forecasting, much of which comes from remote sensing technologies. Remote Sensing of Water-Related Hazards takes an interdisciplinary approach, presenting recent advances in the available data, sensors, models, and indicators developed for monitoring and prediction. Volume highlights include: Progress in remote sensing of precipitation, storms, and tornados Different techniques for flood mapping, forecasting, and early warning Integrated approach for predicting flood and landslide cascading hazards Satellite monitoring of water cycle variation, water scarcity, and drought conditions Multi-indicator and multi-sensor approaches for quantifying drought impacts The American Geophysical Union promotes discovery in Earth and space science for the benefit of humanity. Its publications disseminate scientific knowledge and provide resources for researchers, students, and professionals.

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.

South Asia represents a region highly prone to natural disasters. Disasters not only disrupt the normal life of the affected communities and the countries but also impede developmental efforts. By and large, the approach of the major stakeholders has been 'reactive' rather than 'proactive'. There is indeed, a dire need for concerted and well-planned efforts to achieve risk reduction through risk identification, and sharing and transfer of information. This edited volume explores how the risk of disasters can be reduced by structural and non-structural measures with detailed, comprehensive and participatory strategies. Twenty-seven contributors, both academicians and practitioners, investigate the challenges that the region faces and how changes can be effected at the community, society, government and non-government levels to foster a culture of preparedness. The overall focus is on risk reduction through prevention, preparedness, mitigation, response, recovery, rehabilitation and reconstruction. Some case studies from different settings dealing with various disasters have also been included. Since disaster risk reduction is an area of great concern and there is absolute dearth of literature addressing this issue with regard to South Asia, this volume will be of immense utility and interest to government departments, NGOs, insurance companies, universities, training institutions, professional associates, media, general public, and students pursuing courses in disaster management.

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.

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.