Knowledge Discovery in Big Data from Astronomy and Earth Observation

Knowledge Discovery in Big Data from Astronomy and Earth Observation

Astrogeoinformatics

1st Edition - April 9, 2020

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  • Editors: Petr Skoda, Fathalrahman Adam
  • eBook ISBN: 9780128191552
  • Paperback ISBN: 9780128191545

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Description

Knowledge Discovery in Big Data from Astronomy and Earth Observation: Astrogeoinformatics bridges the gap between astronomy and geoscience in the context of applications, techniques and key principles of big data. Machine learning and parallel computing are increasingly becoming cross-disciplinary as the phenomena of Big Data is becoming common place. This book provides insight into the common workflows and data science tools used for big data in astronomy and geoscience. After establishing similarity in data gathering, pre-processing and handling, the data science aspects are illustrated in the context of both fields. Software, hardware and algorithms of big data are addressed. Finally, the book offers insight into the emerging science which combines data and expertise from both fields in studying the effect of cosmos on the earth and its inhabitants.

Key Features

  • Addresses both astronomy and geosciences in parallel, from a big data perspective
  • Includes introductory information, key principles, applications and the latest techniques
  • Well-supported by computing and information science-oriented chapters to introduce the necessary knowledge in these fields

Readership

Researchers and data scientists with focus on Geoscience, Remote sensing, and Astronomy. Computer scientists involved in astronomical and geoscience projects. Graduate students in astronomy and geoscience fields who are interested in a high level coverage of big data handling in these two fields

Table of Contents

  • Part I: Data

    1. Methodologies for Knowledge Discovery Processes in Context of AstroGeoInformatics

    Peter Butka, Peter Bednár, Juliana Ivančáková

    2. Historical Background of Big Data in Astro and Geo Context

    Christian Muller
     

    Part II: Information

    3. AstroGeoInformatics: From Data Acquisition to Further Application

    Bianca Schoen-Phelan

    4. Synergy in Astronomy and Geosciences

    Mikhail Minin, Angelo Pio Rossi

    5. Surveys, Catalogues, Databases, and Archives of Astronomical Data

    Irina Vavilova, Ludmila Pakuliak, Iurii Babyk, Andrii Elyiv, Daria Dobrycheva, Olga Melnyk

    6. Surveys, Catalogues, Databases/Archives, and State-of-the-Art Methods for Geoscience Data Processing

    Lachezar Filchev, Lyubka Pashova, Vasil Kolev, Stuart Frye

    7. High-Performance Techniques for Big Data Processing

    Philipp Neumann, Julian Kunkel

    8. Query Processing and Access Methods for Big Astro and Geo Databases

    Karine Zeitouni, Mariem Brahem, Laurent Yeh, Atanas Hristov

    9. Real-Time Stream Processing in Astronomy

    Veljko Vujčić, Darko Jevremović
     

    Part III: Knowledge

    10. Time Series

    Ashish Mahabal

    11. Advanced Time Series Analysis of Generally Irregularly Spaced Signals: Beyond the Oversimplified Methods

    Ivan L. Andronov

    12. Learning in Big Data: Introduction to Machine Learning

    Khadija El Bouchefry, Rafael S. de Souza

    13. Deep Learning – an Opportunity and a Challenge for Geo- and Astrophysics

    Christian Reimers, Christian Requena-Mesa

    14. Astro- and Geoinformatics – Visually Guided Classification of Time Series Data

    Roman Kern, Tarek Al-Ubaidi, Vedran Sabol, Sarah Krebs, Maxim Khodachenko, Manuel Scherf

    15. When Evolutionary Computing Meets Astro- and Geoinformatics

    Zaineb Chelly Dagdia, Miroslav Mirchev
     

    Part IV: Wisdom

    16. Multiwavelength Extragalactic Surveys: Examples of Data Mining

    Irina Vavilova, Daria Dobrycheva, Maksym Vasylenko, Andrii Elyiv, Olga Melnyk

    17. Applications of Big Data in Astronomy and Geosciences: Algorithms for Photographic Images Processing and Error Elimination

    Ludmila Pakuliak, Vitaly Andruk

    18. Big Astronomical Datasets and Discovery of New Celestial Bodies in the Solar System in Automated Mode by the CoLiTec Software

    Sergii Khlamov, Vadym Savanevych

    19. Big Data for the Magnetic Field Variations in Solar-Terrestrial Physics and Their Wavelet Analysis

    Bozhidar Srebrov, Ognyan Kounchev, Georgi Simeonov

    20. International Database of Neutron Monitor Measurements: Development and Applications

    D. Sapundjiev, T. Verhulst, S. Stankov

    21. Monitoring the Earth Ionosphere by Listening to GPS Satellites

    Liubov Yankiv-Vitkovska, Stepan Savchuk

    22. Exploitation of Big Real-Time GNSS Databases for Weather Prediction

    Nataliya Kablak, Stepan Savchuk

    23. Application of Databases Collected in Ionospheric Observations by VLF/LF Radio Signals

    Aleksandra Nina

    24. Influence on Life Applications of a Federated Astro-Geo Database

    Christian Muller

Product details

  • No. of pages: 472
  • Language: English
  • Copyright: © Elsevier 2020
  • Published: April 9, 2020
  • Imprint: Elsevier
  • eBook ISBN: 9780128191552
  • Paperback ISBN: 9780128191545

About the Editors

Petr Skoda

Petr Škoda has been involved in astroinformatics and has a long-term experience in using and lecturing the astronomical Virtual observatory. One of the proposers of COST BigSkyEarth Action and its MC member. BigSkyEarth is the working group behind the idea of the book and a conference about the same topic.

Affiliations and Expertise

Stellar Department, Astronomical Institute CAS, Czech Republic

Fathalrahman Adam

Fathalrahman Adam has good understanding of classical machine learning and new concepts, along with hands-on experience and published papers. He is involved in large scale applications using satellite data for earth observation, mainly multi-spectral data. He is a member of BigSkyEarth COST Action.

Affiliations and Expertise

Deutsches Zentrum für Luft- und Raumfahrt (DLR) German Aerospace Center Earth Observation Center, German Remote Sensing Data Center, Land Surface Oberpfaffenhofen, Germany

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