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"Innovation Strategies in Environmental Science introduces and examines economically viable innovations to optimize performance and sustainability. By exploring short and long-term strategies for the development of networks and platform development, along with suggestions for open innovation, chapters discuss sustainable development ideas in key areas such as urban management/eco-design and conclude with case studies of end-user-inclusive strategies for the water supply sector. This book is an important resource for environmental and sustainability scientists interested in introducing innovative practices into their work to minimize environmental impacts"--
Environmental sciences. --- Environmental science --- Science
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Environmental sciences. --- Environmental science --- Science
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Environmental sciences. --- Environmental science --- Science
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Environmental sciences --- Environmental science --- Science
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Environmental sciences --- Research --- Methodology. --- Environmental science --- Science
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A free ebook version of this title is available through Luminos, University of California Press's Open Access publishing program. Visit www.luminosoa.org to learn more.Muddy Thinking in the Mississippi River Delta uses the story of mud to answer a deceptively simple question: How can a place uniquely vulnerable to sea level rise be one of the nation's most promiscuous producers and consumers of fossil fuels? Organized around New Orleans and South Louisiana as a case study, this book examines how the unruly Mississippi River and its muddy delta shaped the people, culture, and governance of the region. It proposes a framework of ";muddy thinking"; to gum the wheels of extractive capitalism and pollution that have brought us to the precipice of planetary collapse. Muddy Thinking calls upon our dirty, shared histories to address urgent questions of mutual survival and care in a rapidly changing world.
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Mathematical Models in Environmental Problems
Environmental protection --- Environmental sciences. --- Mathematical models. --- Environmental science --- Science
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Advanced Remote Sensing: Terrestrial Information Extraction and Applications, Second Edition, is a thoroughly updated application-based reference that provides a single source on the mathematical concepts necessary for remote sensing data gathering and assimilation. It presents state-of-the-art techniques for estimating land surface variables from a variety of data types, including optical sensors like RADAR and LIDAR. The book provides scientists in a number of different fields, including geography, geophysics, geology, atmospheric science, environmental science, planetary science and ecology with access to critically-important data extraction techniques and their virtually unlimited applications. While rigorous enough for the most experienced of scientists, the techniques presented are well designed and integrated, making the book's content intuitive and practical in its implementation. Provides a comprehensive overview of many practical methods and algorithms Offers descriptions of the principles and procedures of the state-of-the-art in remote sensing Includes real-world case studies and end-of-chapter exercises Contains thoroughly revised chapters, newly developed applications and updated examples.
Earth sciences --- Environmental sciences --- Remote sensing. --- Environmental science --- Science
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The complex and multidisciplinary nature of environmental problems requires that they are dealt with in an integrated manner. Modeling and software have become key instruments used to promote sustainability and improve environmental decision processes, especially through systematic integration of various knowledge and data and their ability to foster learning and help make predictions. This book presents the current state-of-the-art in environmental modeling and software and identifies the future challenges in the field.* State-of-the-art in environmental modeling and software theory a
Environmental sciences --- Environmental sciences. --- Computer simulation. --- Environmental science --- Science
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