Geo Raster Data Management
Reference work entry
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.
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