Benchmarking server-side software modules for handling and processing remote sensing data through Rasdaman

There is a current need for novel remote sensing frameworks with the ability to handle, retrieve, process and publish efficiently big earth observation data and maps through online geospatial services. In this paper, we benchmark recently developed services which are based on the Rasdaman Array Database Management System framework. In particular, server-side software modules for processing multispectral and hyperspectral satellite data of medium, high and very high spatial resolution were quantitatively compared. Different implementations were extensively benchmarked for the online and real-time harvesting of remote sensing data. The performed evaluation indicated the efficiency, scalability and effectiveness in processing online both multispectral and hyperspectral imagery from various sensors.