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Knowledge Discovery in Big Data from Astronomy and Earth Observation
Astrogeoinformatics
1st Edition - April 9, 2020
Editors: Petr Skoda, Fathalrahman Adam
Paperback ISBN:
9 7 8 - 0 - 1 2 - 8 1 9 1 5 4 - 5
eBook ISBN:
9 7 8 - 0 - 1 2 - 8 1 9 1 5 5 - 2
Knowledge Discovery in Big Data from Astronomy and Earth Observation: Astrogeoinformatics bridges the gap between astronomy and geoscience in the context of applications,… Read more
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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.
- 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
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
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
- No. of pages: 472
- Language: English
- Published: April 9, 2020
- Imprint: Elsevier
- Paperback ISBN: 9780128191545
- eBook ISBN: 9780128191552
PS
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 RepublicFA
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