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Geo Raster Data Management

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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)


  • Satellite Imagery
  • Geographic Information System
  • Coordinate Reference System
  • Spatial Data Infrastructure
  • Open GeoSpatial Consortium

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Correspondence to Peter Baumann .

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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.

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