Conference paper Open Access

Challenges and Solutions for Utilizing Earth Observations in the "Big Data" era

Filchev Lachezar; Pashova Lyubka; Kolev Vasil; Frye Stuart

The ever-growing need of data preservation and their systematic analysis contributing to sustainable development of the society spurred in the past decade, numerous Big Data projects and initiatives are focusing on the Earth Observation (EO). The number of Big Data EO applications has grown extremely worldwide almost simultaneously with other scientific and technological areas of the human knowledge due to the revolutionary technological progress in the space and information technology sciences. The substantial contribution to this development are the space programs of the renowned space agencies, such as NASA, ESA, Roskosmos, JAXA, DLR, INPE, ISRO, CNES etc. A snap-shot of the current Big Data sets from available satellite missions covering the Bulgarian territory is also presented. This short overview of the geoscience Big Data collection with a focus on EO will emphasize to the multiple Vs of EO in order to provide a snapshot on the current state-of-the-art in EO data preservation and manipulation. Main modern approaches for compressing, clustering and modelling EO in the geoinformation science for Big Data analysis, interpretation and visualization for a variety of applications are outlined. Special attention is paid to the contemporary EO data modelling and visualization systems.

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  • CEOS_EOBS.2018. Satellite earth observations in support of the Sustainable Development Goals, Special 2018 edition, Eds. M. Paganini & I. Petiteville (ESA), S. Ward, G. Dyke, M. Steventon & J. Harry (Symbios Spazio), F. Kerblat (CSIRO), ESA, 114p. Available at: http://eohandbook.com/sdg/files/CEOS_EOHB_2018_SDG.pdf
  • GeoBuiz - 2018, Geospatial Industry Outlook & Readiness Index, Geospatial Media and Communications, 116 p., 2018.
  • J. Peng, W. R. Sellers, and X. Shirley Liu. Big Data Approaches for Modeling Response and Resistance to Cancer Drugs, Annual Review of Biomedical Data Science, 1, 1, pp. 1-27. Publisher's Version.
  • L. Alparone, B. Aiazzi, S. Baronti, A. Garzelli. Remote Sensing Image Fusion, 1st Edition, CRC Press, 2015.
  • P. Soille, A. Burger, D. Rodriguez, V. Syrris, and V.Vasilev. Towards a JRC earth observation data and processing platform. In: Proceedings of the Conference on Big Data from Space (BiDS'16), Santa Cruz de Tenerife, pp. 15-17, March 2016, http://dx.doi.org/10.2788/854791
  • P.-P. Mathieu, C. Aubrecht (Eds.) Earth Observation Open Science and Innovation, Springer, 330p., 2018. https://doi.org/10.1007/978-3-319-65633-5/
  • R.Woodcock, M. Paget, R. Taib, P. Wang, and A. Held. CEOS Open DataCube and Earth Analytics Industry Innovation at CSIRO, What on Earth Colloquium, New Zealand, 2018.
  • T. Shafer. The 42 V's of Big Data and Data Science. https://www.kdnuggets.com/2017/04/42-vs-big-data-data-science.html.
  • UCS, April 2018; https://www.ucsusa.org/
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