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Performance Evaluation of Geospatial Raster Data Processing Systems

Student: Kirill Bykov

Supervisor: Ramon Antonio Rodriges Zalipynis

Faculty: Faculty of Computer Science

Educational Programme: Software Engineering (Bachelor)

Year of Graduation: 2021

Geospatial data processing plays significant role in studying of the plants growing and analyzing green territories like forests and fields. The speed and effectiveness of the processing can be a bottle neck in some cases, choosing the right instrument can be critical for the whole work. During the work we measured performance indicators which are getting affected during processing operations of map algebra for different geospatial raster data processing systems: GeoTrellis, RasterFrames, SciDB. This is important as current state of such systems may directly affect the work experience of geodata experts. We researched methods of work with such data using the systems. Got average data for performance indicators. Compared the systems using performance data. Gave recommendations for work with the systems on calculating map algebra operations

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