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An Integrated Solar Database (ISD) with Extended Spatiotemporal Querying Capabilities

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Advances in Spatial and Temporal Databases (SSTD 2017)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 10411))

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Abstract

Over the last decade, the volume of solar big data have increased immensely. However, the availability and standardization of solar data resources has not received much attention primarily due to the scattered structure among different data providers, lack of consensus on data formats and querying capabilities on metadata. Moreover, there is limited access to the derived solar data such as image parameters extracted either from solar images or tracked solar events. In this paper, we introduce the Integrated Solar Database (ISD), which aims to integrate the heterogeneous solar data sources. In ISD, we store solar event metadata, tracked and interpolated solar events, compressed solar images, and texture parameters extracted from high resolution solar images. ISD offers a rich variety of spatiotemporal and aggregate queries served via a web Application Program Interface (API) and visualized through a web interface.

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Notes

  1. 1.

    ISD is available at http://isd.dmlab.cs.gsu.edu/.

  2. 2.

    ISD API is available at http://api.isd.dmlab.cs.gsu.edu/.

References

  1. Martens, P.C.H., et al.: Computer vision for the solar dynamics observatory (SDO). In: Chamberlin, P., Pesnell, W.D., Thompson, B. (eds.) The Solar Dynamics Observatory, pp. 79–113. Springer, New York (2011). doi:10.1007/978-1-4614-3673-7_6

  2. Hurlburt N., et al.: Heliophysics event knowledgebase for the solar dynamics observatory (SDO) and beyond. In: Chamberlin, P., Pesnell, W.D., Thompson, B. (eds.) The Solar Dynamics Observatory, pp. 67–78. Springer, New York (2010). doi:10.1007/978-1-4614-3673-7_5

  3. Hughitt, V.K., Ireland, J., Mueller, D., Dimitoglou, G., Garcia Ortiz, J., Schmidt, L., Wamsler, B., Beck, J., Alexanderian, A., Fleck, B.: Helioviewer.org: browsing very large image archives online using JPEG 2000. In: AGU Fall Meeting Abstracts, December 2009

    Google Scholar 

  4. Kempton, D., Angryk, R.: Tracking solar events through iterative refinement. Astron. Comput. 13, 124–135 (2015)

    Article  Google Scholar 

  5. Boubrahimi, S.F., Aydin, B., Kempton, D., Angryk, R.: Spatio-temporal interpolation methods for solar events metadata. In: 2016 IEEE International Conference on Big Data, BigData 2016, pp. 3149–3157, December 2016

    Google Scholar 

  6. Strobl, C.: Postgis. In: Encyclopedia of GIS, pp. 891–898 (2008)

    Google Scholar 

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Author information

Authors and Affiliations

  1. Department of Computer Science, Georgia State University, Atlanta, USA

    Ahmet Kucuk, Berkay Aydin, Soukaina Filali Boubrahimi, Dustin Kempton & Rafal A. Angryk

Authors
  1. Ahmet Kucuk
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  2. Berkay Aydin
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  3. Soukaina Filali Boubrahimi
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  4. Dustin Kempton
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  5. Rafal A. Angryk
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Corresponding author

Correspondence to Ahmet Kucuk .

Editor information

Editors and Affiliations

  1. Institute of Computer Science, Heidelberg University, Heidelberg, Germany

    Michael Gertz

  2. George Mason University, Fairfax, Virginia, USA

    Matthias Renz

  3. University of Queensland, Brisbane, Queensland, Australia

    Xiaofang Zhou

  4. ESRI, University of Minnesota, Minneapolis, Minnesota, USA

    Erik Hoel

  5. Auburn University, Auburn, Alabama, USA

    Wei-Shinn Ku

  6. Free University of Berlin, Dahlem, Berlin, Germany

    Agnes Voisard

  7. Microsoft, Redmond, Washington, USA

    Chengyang Zhang

  8. California State University, Sacramento, California, USA

    Haiquan Chen

  9. LinkedIn, Sunnyvale, California, USA

    Liang Tang

  10. University of North Texas, Denton, Texas, USA

    Yan Huang

  11. Virginia Tech, Falls Church, Virginia, USA

    Chang-Tien Lu

  12. Oracle, Redwood Shores, California, USA

    Siva Ravada

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Kucuk, A., Aydin, B., Boubrahimi, S.F., Kempton, D., Angryk, R.A. (2017). An Integrated Solar Database (ISD) with Extended Spatiotemporal Querying Capabilities. In: Gertz, M., et al. Advances in Spatial and Temporal Databases. SSTD 2017. Lecture Notes in Computer Science(), vol 10411. Springer, Cham. https://doi.org/10.1007/978-3-319-64367-0_25

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  • DOI: https://doi.org/10.1007/978-3-319-64367-0_25

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-64366-3

  • Online ISBN: 978-3-319-64367-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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