Big Data
Remote sensing with imaging instruments produces an enormous amount of data: for example, The hyperspectral imaging and mapping system of the Wageningen UR Unmanned Aerial Remote Sensing Facility (UARSF) generates approximately 500 GB per km2. Apart from storage, different pre-processing and post-processing may also be required, like image processing, data-mining, and feature recognition.
A robust and reactive structure is necessary to sustain the load and to process the number of requests.
