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Evaluation of a NoSQL Database for Storing Big Geospatial Raster Data
2021
GI_FORUM - Journal for Geographic Information Science
Database systems capable of efficiently storing geospatial data are widespread. However, recent developments in earth observation systems, remote sensing, mobile mapping, and crowd sourcing lead to large amounts of geospatial mass data that can hardly be handled efficiently with the existing solutions. Especially large geospatial raster data require novel concepts for well-organized data storage. A concept for storage of large geospatially and temporally referenced image data using the NoSQL
doi:10.1553/giscience2021_01_s76
fatcat:qm622gefyraexewnc4ppveqsrq