Over the years, the interactions between land, ocean, biosphere and atmosphere have increased, mainly due to population growth and anthropogenic activities, which have impacted the climate and weather conditions at local, regional and global scales. Thus, natural hazards related to climate changes have significantly impacted human life and health on different spatio-temporal scales and with socioeconomic bearings. To monitor and analyze natural hazards, satellite data have been widely used in recent years by many developed ...
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Over the years, the interactions between land, ocean, biosphere and atmosphere have increased, mainly due to population growth and anthropogenic activities, which have impacted the climate and weather conditions at local, regional and global scales. Thus, natural hazards related to climate changes have significantly impacted human life and health on different spatio-temporal scales and with socioeconomic bearings. To monitor and analyze natural hazards, satellite data have been widely used in recent years by many developed and developing countries. In an effort to better understand and characterize the various underlying processes influencing natural hazards, and to carry out related impact assessments, Natural Hazards: Earthquakes, Volcanoes, and Landslides, presents a synthesis of what leading scientists and other professionals know about the impacts and the challenges when coping with climate change. Combining reviews of theories and methods with analysis of case studies, the book gives readers research information and analyses on satellite geophysical data, radar imaging and integrated approaches. It focuses also on dust storms, coastal subsidence and remote sensing mapping. Some case studies explore the roles of remote sensing related to landslides and volcanoes. Overall, improved understanding of the processes leading to these hazardous events will help scientists predict their occurrence. Features Provides information on the physics and physical processes of natural hazards, their monitoring and the mapping of damages associated with these hazards Explains how natural hazards are strongly associated with coupling between land-ocean-atmosphere Includes a comprehensive overview of the role of remote sensing in natural hazards worldwide Examines risk assessment in urban areas through numerical modelling and geoinformation technologies Demonstrates how data analysis can be used to aid in prediction and management of natural hazards
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Add this copy of Natural Hazards: Earthquakes, Volcanoes, and Landslides to cart. $72.84, new condition, Sold by Booksplease rated 4.0 out of 5 stars, ships from Southport, MERSEYSIDE, UNITED KINGDOM, published 2020 by CRC Press.
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Fine. Contains: Illustrations, black & white, Illustrations, color, Tables, black & white. Includes: illustrations, color, illustrations, black & white, tables, black & white. Intended for professional and scholarly audience. In Stock. 100% Money Back Guarantee. Brand New, Perfect Condition, allow 4-14 business days for standard shipping. To Alaska, Hawaii, U.S. protectorate, P.O. box, and APO/FPO addresses allow 4-28 business days for Standard shipping. No expedited shipping. All orders placed with expedited shipping will be cancelled. Over 3, 000, 000 happy customers.
Add this copy of Natural Hazards: Earthquakes, Volcanoes, and Landslides to cart. $204.07, new condition, Sold by GreatBookPrices rated 4.0 out of 5 stars, ships from Columbia, MD, UNITED STATES, published 2018 by CRC Press.
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New. Contains: Illustrations, black & white, Illustrations, color, Tables, black & white. Includes: illustrations, color, illustrations, black & white, tables, black & white. Intended for professional and scholarly audience. In Stock. 100% Money Back Guarantee. Brand New, Perfect Condition, allow 4-14 business days for standard shipping. To Alaska, Hawaii, U.S. protectorate, P.O. box, and APO/FPO addresses allow 4-28 business days for Standard shipping. No expedited shipping. All orders placed with expedited shipping will be cancelled. Over 3, 000, 000 happy customers.
