Geo Raster Data Management
Living 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.
KeywordsSatellite Imagery Geographic Information System Coordinate Reference System Spatial Data Infrastructure Open GeoSpatial Consortium
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
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