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Computer Science > Computers and Society

arXiv:2108.08886 (cs)
[Submitted on 19 Aug 2021]

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

Authors:Lachezar Filchev, Lyubka Pashova, Vasil Kolev, Stuart Frye
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Abstract: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.
Comments: 6 pages, BigSkyEarth conference: AstroGeoInformatics, Tenerife, Spain, December 17-19, 2018
Subjects: Computers and Society (cs.CY); Computer Vision and Pattern Recognition (cs.CV); Image and Video Processing (eess.IV)
MSC classes: 86Axx, 68Pxx, 93Cxx, 94Axx, 97Pxx, 68Qxx, 68Uxx, 68Txx, 91Cxx, 85-XX, 86-XX,
ACM classes: C.3; E.1; E.2; H.1; H.3
Cite as: arXiv:2108.08886 [cs.CY]
  (or arXiv:2108.08886v1 [cs.CY] for this version)
  https://doi.org/10.48550/arXiv.2108.08886
Related DOI: https://doi.org/10.5281/zenodo.2391937

Submission history

From: Vasil Kolev [view email]
[v1] Thu, 19 Aug 2021 19:24:32 UTC (145 KB)
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