COVID-19 Update: We are currently shipping orders daily. However, due to transit disruptions in some geographies, deliveries may be delayed. To provide all customers with timely access to content, we are offering 50% off Science and Technology Print & eBook bundle options. Terms & conditions.
Knowledge Discovery in Big Data from Astronomy and Earth Observation - 1st Edition - ISBN: 9780128191545, 9780128191552

Knowledge Discovery in Big Data from Astronomy and Earth Observation

1st Edition

Astrogeoinformatics

Editors: Petr Skoda Fathalrahman Adam
eBook ISBN: 9780128191552
Paperback ISBN: 9780128191545
Imprint: Elsevier
Published Date: 9th April 2020
Page Count: 472
Sales tax will be calculated at check-out Price includes VAT/GST
168.14
105.00
91.95
120.00
84.00
Unavailable
Price includes VAT/GST

Institutional Subscription

Secure Checkout

Personal information is secured with SSL technology.

Free Shipping

Free global shipping
No minimum order.

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

Details

No. of pages:
472
Language:
English
Copyright:
© Elsevier 2020
Published:
9th April 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

Ratings and Reviews