Written for a broad audience this book offers a comprehensive account of early warning systems for hydro meteorological disasters such as floods and storms, and for geological disasters such as earthquakes. One major theme is the increasingly important role in early warning systems played by the rapidly evolving fields of space and information technology. The authors, all experts in their respective fields, offer a comprehensive and in-depth insight into the current and future perspectives for early warning systems. The text is aimed at decision-makers in the political arena, scientists, engineers and those responsible for public communication and dissemination of warnings.

More than 90% of wildfires are caused by human activity, but other causes include lighting, drought, wind and changing weather conditions, underground coal fires, and even volcanic activity. Wildfire Hazards, Risks, and Disasters, one of nine volumes in the Elsevier Hazards and Disasters series, provides a close and detailed examination of wildfires and measures for more thorough and accurate monitoring, prediction, preparedness, and prevention. It takes a geo-scientific and environmental approach to the topic while also discussing the impacts of human-induced causes such as deforestation, debris burning and arson—underscoring the multi-disciplinary nature of the topic. It presents several international case studies that discuss the historical, social, cultural and ecological aspects of wildfire risk management in countries with a long history of dealing with this hazard (e.g., USA, Australia) and in countries (e.g., Taiwan) where wildfire hazards represent a new and growing threat to the social and ecological landscape. - Puts the contributions of environmental scientists, social scientists, climatologists, and geoscientists at your fingertips - Arms you with the latest research on causality, social and societal impacts, economic impacts, and the multi-dimensional nature of wildfire mitigation, preparedness, and recovery - Features a broad range of tables, figures, diagrams, illustrations, and photographs to aid in the retention of key concepts - Discusses steps for prevention and mitigation of wildfires, one of the most expensive and complex geo-hazards in the world.

Introduction to Satellite Remote Sensing: Atmosphere, Ocean and Land Applications is the first reference book to cover ocean applications, atmospheric applications, and land applications of remote sensing. Applications of remote sensing data are finding increasing application in fields as diverse as wildlife ecology and coastal recreation management. The technology engages electromagnetic sensors to measure and monitor changes in the earth's surface and atmosphere. The book opens with an introduction to the history of remote sensing, starting from when the phrase was first coined. It goes on to discuss the basic concepts of the various systems, including atmospheric and ocean, then closes with a detailed section on land applications. Due to the cross disciplinary nature of the authors' experience and the content covered, this is a must have reference book for all practitioners and students requiring an introduction to the field of remote sensing. - Provides study questions at the end of each chapter to aid learning - Covers all satellite remote sensing technologies, allowing readers to use the text as instructional material - Includes the most recent technologies and their applications, allowing the reader to stay up-to-date - Delves into laser sensing (LIDAR) and commercial satellites (DigitalGlobe) - Presents examples of specific satellite missions, including those in which new technology has been introduced

"This Ebook brings together the latest developments and studies of Mobile Ad Hoc Networks (MANETs) and Wireless Sensor Networks (WSNs), which should provide a seedbed for new breakthroughs. It focuses on the most representative topics in MANETs and WSNs, s"

The 1st Industrial Artificial Intelligence(IAI 2019) Conference will be held Tuesday through Saturday, July 23 27, 2019 in Shenyang, China The conference will bring together researchers and practitioners from all over the world to facilitate discussions of recent developments in the artificial intelligence driven modeling, control, and optimization of industrial processes