Seller: Universitätsbuchhandlung Herta Hold GmbH, Berlin, Germany
xvi, 212p. Hardcover. Versand aus Deutschland / We dispatch from Germany via Air Mail. Einband bestoßen, daher Mängelexemplar gestempelt, sonst sehr guter Zustand. Imperfect copy due to slightly bumped cover, apart from this in very good condition. Stamped. Stamped. Sprache: Englisch.
Language: English
Published by Dordrecht, Springer., 2014
ISBN 10: 9401786410 ISBN 13: 9789401786416
Seller: Universitätsbuchhandlung Herta Hold GmbH, Berlin, Germany
xv, 266 p. Hardcover. Versand aus Deutschland / We dispatch from Germany via Air Mail. Einband bestoßen, daher Mängelexemplar gestempelt, sonst sehr guter Zustand. Imperfect copy due to slightly bumped cover, apart from this in very good condition. Stamped. Sprache: Englisch.
Seller: GreatBookPrices, Columbia, MD, U.S.A.
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Seller: Ria Christie Collections, Uxbridge, United Kingdom
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Seller: Ria Christie Collections, Uxbridge, United Kingdom
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Language: English
Published by Springer Netherlands, 2016
ISBN 10: 940240239X ISBN 13: 9789402402391
Seller: moluna, Greven, Germany
Condition: New.
Language: English
Published by Springer Netherlands, 2014
ISBN 10: 9401786410 ISBN 13: 9789401786416
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Seller: Books Puddle, New York, NY, U.S.A.
Condition: New. pp. xvi + 212.
Language: English
Published by Elsevier Science Publishing Co Inc, 2020
ISBN 10: 0128123621 ISBN 13: 9780128123621
Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
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Seller: Ria Christie Collections, Uxbridge, United Kingdom
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Seller: Revaluation Books, Exeter, United Kingdom
Hardcover. Condition: Brand New. 2014 edition. 200 pages. 9.25x6.25x0.75 inches. In Stock.
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Taschenbuch. Condition: Neu. Computational Intelligence Techniques in Earth and Environmental Sciences | Tanvir Islam (u. a.) | Taschenbuch | xv | Englisch | 2016 | Springer | EAN 9789402402391 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
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Taschenbuch. Condition: Neu. Remote Sensing Applications in Environmental Research | Prashant K. Srivastava (u. a.) | Taschenbuch | Society of Earth Scientists Series | xvi | Englisch | 2016 | Springer | EAN 9783319359410 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
Seller: Revaluation Books, Exeter, United Kingdom
Hardcover. Condition: Brand New. 2014 edition. 266 pages. 9.25x6.25x1.00 inches. In Stock.
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Published by LAP LAMBERT Academic Publishing, 2017
ISBN 10: 3659635294 ISBN 13: 9783659635298
Seller: Revaluation Books, Exeter, United Kingdom
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Published by Springer International Publishing, 2016
ISBN 10: 331935941X ISBN 13: 9783319359410
Seller: AHA-BUCH GmbH, Einbeck, Germany
Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - Remote Sensing Applications in Environmental Research is the basis for advanced Earth Observation (EO) datasets used in environmental monitoring and research. Now that there are a number of satellites in orbit, EO has become imperative in today's sciences, weather and natural disaster prediction. This highly interdisciplinary reference work brings together diverse studies on remote sensing and GIS, from a theoretical background to its applications, represented through various case studies and the findings of new models. The book offers a comprehensive range of contributions by well-known scientists from around the world and opens a new window for students in presenting interdisciplinary and methodological resources on the latest research. It explores various key aspects and offers state-of-the-art research in a simplified form, describing remote sensing and GIS studies for those who are new to the field, as well as for established researchers.
Language: English
Published by Springer International Publishing, 2014
ISBN 10: 331905905X ISBN 13: 9783319059051
Seller: AHA-BUCH GmbH, Einbeck, Germany
Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - Remote Sensing Applications in Environmental Research is the basis for advanced Earth Observation (EO) datasets used in environmental monitoring and research. Now that there are a number of satellites in orbit, EO has become imperative in today's sciences, weather and natural disaster prediction. This highly interdisciplinary reference work brings together diverse studies on remote sensing and GIS, from a theoretical background to its applications, represented through various case studies and the findings of new models. The book offers a comprehensive range of contributions by well-known scientists from around the world and opens a new window for students in presenting interdisciplinary and methodological resources on the latest research. It explores various key aspects and offers state-of-the-art research in a simplified form, describing remote sensing and GIS studies for those who are new to the field, as well as for established researchers.
Seller: Mispah books, Redhill, SURRE, United Kingdom
Hardcover. Condition: Like New. LIKE NEW. SHIPS FROM MULTIPLE LOCATIONS. book.
Language: English
Published by Springer Netherlands, Springer Netherlands, 2014
ISBN 10: 9401786410 ISBN 13: 9789401786416
Seller: AHA-BUCH GmbH, Einbeck, Germany
Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - Computational intelligence techniques have enjoyed growing interest in recent decades among the earth and environmental science research communities for their powerful ability to solve and understand various complex problems and develop novel approaches toward a sustainable earth. This book compiles a collection of recent developments and rigorous applications of computational intelligence in these disciplines. Techniques covered include artificial neural networks, support vector machines, fuzzy logic, decision-making algorithms, supervised and unsupervised classification algorithms, probabilistic computing, hybrid methods and morphic computing. Further topics given treatment in this volume include remote sensing, meteorology, atmospheric and oceanic modeling, climate change, environmental engineering and management, catastrophic natural hazards, air and environmental pollution and water quality. By linking computational intelligence techniques with earth and environmental science oriented problems, this book promotes synergistic activities among scientists and technicians working in areas such as data mining and machine learning. We believe that a diverse group of academics, scientists, environmentalists, meteorologists and computing experts with a common interest in computational intelligence techniques within the earth and environmental sciences will find this book to be of great value.