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  • Earth Sciences  (5)
  • Cham : Springer  (5)
  • [s.l.]
  • English  (5)
  • Bulgarian
  • Chinese
  • 2015-2019  (5)
  • 1985-1989
  • 2018  (5)
  • 1
    Unknown
    Observing the Volcano World : Volcano Crisis Communication (2018)
    Cham : Springer
    Details
    Keywords: Earth sciences ; Geology ; Natural disasters ; Environmental management ; Communication ; Earth Sciences ; Natural Hazards ; Geology ; Environmental Management ; Communication Studies
    Description / Table of Contents: Part I: Bill McGuire --- Volcano Crisis Communication: Challenges and Solutions in the 21st Century --- Volcanic Gases: Silent Killers --- The Communication and Risk Management of Volcanic Ballistic Hazards --- Part One Summary: Adapting Warnings for Volcanic Hazards --- Part II: Gill Jolly --- Volcanic Unrest and Hazard Communication in Long Valley Volcanic Region, California --- Organisational Response to the 2007 Ruapehu Crater Lake Dam-Break Lahar in New Zealand: Use of Communication in Creating an Effective Response --- Social Representation of Human Resettlement Associated with Risk from Volcán de Colima, Mexico --- Part Two Summary: Observing Volcanic Crises --- Part III: Deanne Bird and Kat Haynes --- Communicating Information on Eruptions and Their Impacts from the Earliest Times Until the Late Twentieth Century --- “There’s no Plastic in Our Volcano”: A Story About Losing and Finding a Path to Participatory Volcanic Risk Management in Colombia --- Challenges of Volcanic Crises on Small Islands States --- Living with an Active Volcano: Informal and Community Learning for Preparedness in South of Japan --- Part Three Summary: Communicating into the Future. Volcanic Crisis Communication: Where Do We Go from Here?
    Pages: Online-Ressource (XV, 771 pages)
    ISBN: 9783319440972
    URL: https://link.springer.com/openurl?genre=book&isbn=978-3-319-44097-2
    Language: English
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  • 2
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    Earth Observation Open Science and Innovation (2018)
    Cham : Springer
    Details
    Keywords: Earth sciences ; Remote sensing ; Environmental management ; Earth Sciences ; Earth Sciences, general ; Big Data ; Remote Sensing/Photogrammetry ; Environmental Management ; Space Sciences (including Extraterrestrial Physics, Space Exploration and Astronautics)
    Description / Table of Contents: This book is published open access under a CC BY 4.0 license. Over  the  past  decades,  rapid developments in digital and sensing technologies, such  as the Cloud, Web and Internet of Things, have dramatically changed the way we live and work. The digital transformation is revolutionizing our ability to monitor our planet and transforming the  way we access, process and exploit Earth Observation data from satellites. This book reviews these megatrends and their implications for the Earth Observation community as well as the wider data economy. It provides insight into new paradigms of Open Science and Innovation applied to space data, which are characterized by openness, access to large volume of complex data, wide availability of new community tools, new techniques for big data analytics such as Artificial Intelligence, unprecedented level of computing power, and new types of collaboration among researchers, innovators, entrepreneurs and citizen scientists. In addition, this book aims to provide readers with some reflections on the future of Earth Observation, highlighting through a series of use cases not just the new opportunities created by the New Space revolution, but also the new challenges that must be addressed in order to make the most of the large volume of complex and diverse data delivered by the new generation of satellites.  
    Pages: Online-Ressource (VIII, 332 pages) , 116 illustrations, 111 illustrations in color
    ISBN: 9783319656335
    URL: https://link.springer.com/openurl?genre=book&isbn=978-3-319-65633-5
    Language: English
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  • 3
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    Earth Observation Open Science and Innovation (2018)
    Cham : Springer
    Details
    Keywords: Earth sciences ; Remote sensing ; Environmental management ; Earth Sciences ; Earth Sciences, general ; Big Data ; Remote Sensing/Photogrammetry ; Environmental Management ; Space Sciences (including Extraterrestrial Physics, Space Exploration and Astronautics)
    Description / Table of Contents: This book is published open access under a CC BY 4.0 license. Over  the  past  decades,  rapid developments in digital and sensing technologies, such  as the Cloud, Web and Internet of Things, have dramatically changed the way we live and work. The digital transformation is revolutionizing our ability to monitor our planet and transforming the  way we access, process and exploit Earth Observation data from satellites. This book reviews these megatrends and their implications for the Earth Observation community as well as the wider data economy. It provides insight into new paradigms of Open Science and Innovation applied to space data, which are characterized by openness, access to large volume of complex data, wide availability of new community tools, new techniques for big data analytics such as Artificial Intelligence, unprecedented level of computing power, and new types of collaboration among researchers, innovators, entrepreneurs and citizen scientists. In addition, this book aims to provide readers with some reflections on the future of Earth Observation, highlighting through a series of use cases not just the new opportunities created by the New Space revolution, but also the new challenges that must be addressed in order to make the most of the large volume of complex and diverse data delivered by the new generation of satellites.  
    Pages: Online-Ressource (VIII, 332 pages) , 116 illustrations, 111 illustrations in color
    ISBN: 9783319656335
    URL: https://link.springer.com/openurl?genre=book&isbn=978-3-319-65633-5
    Language: English
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  • 4
    Unknown
    Earth Observation Open Science and Innovation (2018)
    Cham : Springer
    Details
    Keywords: Earth sciences ; Remote sensing ; Environmental management ; Earth Sciences ; Earth Sciences, general ; Big Data ; Remote Sensing/Photogrammetry ; Environmental Management ; Space Sciences (including Extraterrestrial Physics, Space Exploration and Astronautics)
    Description / Table of Contents: This book is published open access under a CC BY 4.0 license. Over  the  past  decades,  rapid developments in digital and sensing technologies, such  as the Cloud, Web and Internet of Things, have dramatically changed the way we live and work. The digital transformation is revolutionizing our ability to monitor our planet and transforming the  way we access, process and exploit Earth Observation data from satellites. This book reviews these megatrends and their implications for the Earth Observation community as well as the wider data economy. It provides insight into new paradigms of Open Science and Innovation applied to space data, which are characterized by openness, access to large volume of complex data, wide availability of new community tools, new techniques for big data analytics such as Artificial Intelligence, unprecedented level of computing power, and new types of collaboration among researchers, innovators, entrepreneurs and citizen scientists. In addition, this book aims to provide readers with some reflections on the future of Earth Observation, highlighting through a series of use cases not just the new opportunities created by the New Space revolution, but also the new challenges that must be addressed in order to make the most of the large volume of complex and diverse data delivered by the new generation of satellites.  
    Pages: Online-Ressource (VIII, 332 pages) , 116 illustrations, 111 illustrations in color
    ISBN: 9783319656335
    URL: https://link.springer.com/openurl?genre=book&isbn=978-3-319-65633-5
    Language: English
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  • 5
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    Handbook of Mathematical Geosciences : Fifty Years of IAMG (2018)
    Cham : Springer
    Details
    Keywords: Earth sciences ; Geology ; Statistical methods ; Mathematical physics ; Statistics ; Earth Sciences ; Quantitative Geology ; Mathematical Applications in the Physical Sciences ; Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences ; Statistics and Computing/Statistics Programs ; Applications of Nonlinear Dynamics and Chaos Theory
    Description / Table of Contents: 1. Forward --- 2. Preface --- 3. Introduction --- 4. Part I. Chapter 1 Kriging, Splines, Conditional Simulation, Bayesian In-version and Ensemble Kalman Filtering --- 5. Chapter 2 A Statistical Commentary on Mineral Prospectivity analysis --- 6. Chapter 3 Testing joint conditional independence of categorical random variables with a standard log-likelihood ratio test --- 7. Chapter 4 Modelling Compositional Data. The Sample Space Approach --- 8. Chapter 5 Properties of Sums of Geological Random Variables --- 9. Chapter 6 A Statistical Analysis of the Jacobian in Retrievals of Satellite Data --- 10. Chapter 7 All Realizations All the Time --- 11. Chapter 8 Binary Coefficients Redux --- 12. Chapter 9 Tracking Plurigaussian Simulations --- 13. Chapter 10 Mathematical Geosciences: Local Singularity Analysis of Nonlinear Earth Processes and Extreme Geo-Events --- 14. Chapter 11 Electrofacies in Reservoir Characterization --- 15. Chapter 12 Forecast of Shoreline Variations by Means of Median Sets --- 16. Chapter 13 An Introduction to the Spatio-Temporal Analysis of Sat-ellite Remote Sensing Data for Geostatisticians --- 17. Chapter 14 Flint drinking water crisis: a first attempt to model geo-statistically the space-time distribution of water lead levels --- 18. Chapter 15 Statistical Parametric Mapping for Geoscience Applications --- 19. Chapter 16 Water chemistry: are new challenges possible from CoDA (Compositional Data Analysis) point of view? --- 20. Chapter 17 Analysis of the United States Portion of the North American Soil Geochemical Landscapes Project – A Compositional Framework Approach --- 21. Chapter 18 Quantifying the Impacts of Uncertainty --- 22. Chapter 19. Advances in Sensitivity Analysis of Uncertainty due to Sampling Density for Spatially Correlated Attributes --- 23. Chapter 20 Predicting Molybdenum Deposit Growth --- 24. Chapter 21 General Framework of Quantitative Target Selections --- 25. Chapter 22 Solving the Wrong Resource Assessment Problems Precisely --- 26. Chapter 23 two ideas for analysis of multivariate geochemical survey data: proximity regression and principal component residuals --- 27. Chapter 24 Mathematical minerals: A history of petrophysical petrography --- 28. Chapter 25 Geostatistics for Seismic Characterization of Oil Reservoirs --- 29. Chapter 26 Statistical Modeling of Regional and Worldwide Size-Frequency Distributions of Metal Deposits --- 30. Chapter 27 Bayesianism in the Geosciences --- 31.Chapter 28 Geological Objects and Physical Parameter Fields in the Subsurface: A Review --- 32.Chapter 29 Fifty Years of Kriging --- 33. Chapter 30 Multiple Point Statistics: A Review --- 34. Chapter 31 When Should We Use Multiple-Point Geostatistics? --- 35. Chapter 32 The Origins of the Multiple-Point Statistics (MPS) Algorithm --- 36. Chapter 33 Predictive Geometallurgy: An Interdisciplinary Key Challenge for Mathematical Geosciences? --- 37. Chapter 34 Data Science for Geoscience: Leveraging Mathematical Geosciences with Semantics and Open Data --- 38. Chapter 35 Mathematical Morphology in Geosciences and GISci: An Illustrative Review --- 39. Chapter 36 IAMG: Recollections from the Early Years --- 40. Chapter 37 Forward and Inverse Models over 70 Years --- 41. Chapter 38 From individual personal contacts 1962–1968 to my 50 years of service --- 42. Chapter 39 Andrey Borisovich Vistelius --- 43. Chapter 40 Fifty Years’ Experience with Hidden Errors in Applying Classic Mathematical Geology --- 44. Chapter 41 Mathematical Geology by Example: Teaching and Learning Perspectives.
    Pages: Online-Ressource (XXVIII, 914 pages) , 287 illustrations, 185 illustrations in color
    ISBN: 9783319789996
    URL: https://link.springer.com/openurl?genre=book&isbn=978-3-319-78999-6
    Language: English
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