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  • Books  (5)
  • Journals
  • Space Sciences (including Extraterrestrial Physics, Space Exploration and Astronautics)  (5)
  • Physics  (5)
  • Electrical Engineering, Measurement and Control Technology
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  • Books  (5)
  • Journals
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  • Physics  (5)
  • Electrical Engineering, Measurement and Control Technology
  • 1
    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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    E-BOOK
  • 2
    Unknown
    Solar Particle Radiation Storms Forecasting and Analysis : The HESPERIA HORIZON 2020 Project and Beyond (2018)
    Cham : Springer
    Details
    Keywords: Solar system ; Geology ; Astrophysics ; Solar and Heliospheric Physics ; Natural Hazards ; Space Sciences (including Extraterrestrial Physics, Space Exploration and Astronautics) ; Atmospheric Sciences
    Description / Table of Contents: Solar energetic particles (SEPs) emitted from the Sun are a major space weather hazard motivating the development of predictive capabilities. This book presents the results and findings of the HESPERIA (High Energy Solar Particle Events forecasting and Analysis) project of the EU HORIZON 2020 programme. It discusses the forecasting operational tools developed within the project, and presents progress to SEP research contributed by HESPERIA both from the observational as well as the SEP modelling perspective. Using multi-frequency observational data and simulations HESPERIA investigated the chain of processes from particle acceleration in the corona, particle transport in the magnetically complex corona and interplanetary space, to the detection near 1 AU. The book also elaborates on the unique software that has been constructed for inverting observations of relativistic SEPs to physical parameters that can be compared with spac e-borne measurements at lower energies. Introductory and pedagogical material included in the book make it accessible to students at graduate level and will be useful as background material for Space Physics and Space Weather courses with emphasis on Solar Energetic Particle Event Forecasting and Analysis. This book is published with open access under a CC BY 4.0 license
    Pages: Online-Ressource (XIII, 203 pages) , 73 illustrations, 54 illustrations in color
    ISBN: 9783319600512
    URL: https://link.springer.com/openurl?genre=book&isbn=978-3-319-60051-2
    Language: English
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    E-BOOK
  • 3
    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
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
    E-BOOK
  • 4
    Unknown
    Solar Particle Radiation Storms Forecasting and Analysis : The HESPERIA HORIZON 2020 Project and Beyond (2018)
    Cham : Springer
    Details
    Keywords: Solar system ; Geology ; Astrophysics ; Solar and Heliospheric Physics ; Natural Hazards ; Space Sciences (including Extraterrestrial Physics, Space Exploration and Astronautics) ; Atmospheric Sciences
    Description / Table of Contents: Solar energetic particles (SEPs) emitted from the Sun are a major space weather hazard motivating the development of predictive capabilities. This book presents the results and findings of the HESPERIA (High Energy Solar Particle Events forecasting and Analysis) project of the EU HORIZON 2020 programme. It discusses the forecasting operational tools developed within the project, and presents progress to SEP research contributed by HESPERIA both from the observational as well as the SEP modelling perspective. Using multi-frequency observational data and simulations HESPERIA investigated the chain of processes from particle acceleration in the corona, particle transport in the magnetically complex corona and interplanetary space, to the detection near 1 AU. The book also elaborates on the unique software that has been constructed for inverting observations of relativistic SEPs to physical parameters that can be compared with spac e-borne measurements at lower energies. Introductory and pedagogical material included in the book make it accessible to students at graduate level and will be useful as background material for Space Physics and Space Weather courses with emphasis on Solar Energetic Particle Event Forecasting and Analysis. This book is published with open access under a CC BY 4.0 license
    Pages: Online-Ressource (XIII, 203 pages) , 73 illustrations, 54 illustrations in color
    ISBN: 9783319600512
    URL: https://link.springer.com/openurl?genre=book&isbn=978-3-319-60051-2
    Language: English
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
    E-BOOK
  • 5
    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
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
    E-BOOK
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