Knowledge Discovery in Big Data from Astronomy and Earth Observation

Astrogeoinformatics
Erscheinungsjahr 2020
ISBN: 978-0-12-819154-5
Verlag: Elsevier Science Publishing Co Inc

Buch, Englisch, 472 Seiten, Format (B × H): 191 mm x 235 mm, Gewicht: 950 g

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.

Zielgruppe

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

Autoren/Hrsg.

Skoda, Petr

Adam, Fathalrahman

Fachgebiete

• Naturwissenschaften Astronomie Astronomische Beobachtung: Observatorien, Instrumente, Methoden

Inhaltsverzeichnis

Part I: Data

1. Methodologies for Knowledge Discovery Processes in Context of AstroGeoInformatics

Peter Butka, Peter Bednár, Juliana Ivancáková

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 Vujcic, Darko Jevremovic

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

Über Autor(innen)

Adam, Fathalrahman
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.

Skoda, Petr
Petr Skoda 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.