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Geo Raster Data Management

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Encyclopedia of Database Systems

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Definition

Geo raster data mainly represent measurements – such as satellite imagery – and simulations – such as weather forecasts – which technically represent gridded (“raster”) data. Examples include 1-D sensor timeseries, 2-D x/y satellite imagery, 3-D x/y/ image time series (Fig. 1) and x/y/z geophysical voxel models, and 4-D x/y/z/t weather data. As sensors and computing capacity is increasing, it is getting increasingly inexpensive to obtain such data, and consequently there is a massive increase in both the volume acquired and the speed at which new data arrive. It is fair to say that geo raster data make up for the larger part of the Big Data challenge in the Earth sciences today, but also in geo engineering such as oil/gas/water exploration.

Fig. 1
figure 1

Retrieval result from a 3-D x/y/t satellite image time series data cube on sea surface temperature; original data cube contains about 10,000 satellite images (image: rasdaman screenshot, data: NASA/DLR)

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Author information

Authors and Affiliations

  1. Jacobs University, Bremen, Germany

    Peter Baumann

Authors
  1. Peter Baumann
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Correspondence to Peter Baumann .

Editor information

Editors and Affiliations

  1. Georgia Institute of Technology College of Computing, Atlanta, Georgia, USA

    Ling Liu

  2. University of Waterloo School of Computer Science, Waterloo, Ontario, Canada

    M. Tamer Özsu

Section Editor information

  1. San Diego Supercomputer Center, University of California San Diego, 9500 Gilman Drive, 92093-0505, La Jolla, CA, USA

    Amarnath Gupta

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Baumann, P. (2017). Geo Raster Data Management. In: Liu, L., Özsu, M. (eds) Encyclopedia of Database Systems. Springer, New York, NY. https://doi.org/10.1007/978-1-4899-7993-3_80815-1

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  • DOI: https://doi.org/10.1007/978-1-4899-7993-3_80815-1

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  • Print ISBN: 978-1-4899-7993-3

  • Online ISBN: 978-1-4899-7993-3

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