In today’s blog we explore the way in which ENTICE will highly decrease the delivery time of large satellite images captured in Earth’s orbit. Deimos’ research focuses in the development of future internet technologies in order to improve the following Earth Observation services and to highly reduce the costs associated with on premises deployment

  • Acquisition of raw data: when the imagery data is ingested from the satellite into the ground station, the system is notified and the ingestion component automatically ingests the raw data into the cloud for processing.
  • Processing of the raw data: once the data is ingested, it is processed in the product processors. There are several processing levels.
  • Archiving and cataloguing geo-images: the different products obtained from the processing of raw data are archived and catalogued in order to provide these images to end users or to provide high-added value services.
  • Offering user services: this is the front-end of the system. It allows end users to select which product they want to visualize or to download.

Processing and distribution of big space data still presents a critical challenge: the treatment of massive and large-sized data obtained from Earth Observation satellite recordings. Remote sensing industries implement on-site conventional infrastructures to acquire, store, process and distribute the geo-information generated. However these solutions do not cover sudden changes in the demand of services and the access to the information presents large latencies.

By using ENTICE environment, it is expected to highly decrease the delivery time of the satellite imagery to end users and to improve their accessibility, increasing the competitiveness of the EO industries. It will be possible thanks to ENTICE environment, which will drastically reduce of the required time for the creation and the deployment of the VMs. This will allow to support high demanding changes adjusting the infrastructure to serve these overloads, taking advantage of the flexibility and lower time provided by the ENTICE environment.