The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
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Articles | Volume XL-7/W3
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-7/W3, 605–611, 2015
https://doi.org/10.5194/isprsarchives-XL-7-W3-605-2015
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-7/W3, 605–611, 2015
https://doi.org/10.5194/isprsarchives-XL-7-W3-605-2015

  29 Apr 2015

29 Apr 2015

Evaluation of Future Internet Technologies for Processing and Distribution of Satellite Imagery

J. Becedas1, R. Pérez1, G. González1, J Álvarez2, F. García2, F. Maldonado2, A. Sucari3, and J. García3 J. Becedas et al.
  • 1Elecnor Deimos Satellite Systems, Francia 9, Pol. Industrial La Nava, 13500 Puertollano, Spain
  • 2International Business Machines, S.A. Sta. Hortensia 26-28, 28002 Madrid, Spain,
  • 3Itera Process Consulting, Parque Científico de Madrid, C/Santiago Grisolia 2, 28760 Tres Cantos, Spain

Keywords: Earth Observation, Cloud Computing, Remote Sensing, Future Internet, Distributed Systems, Federated Testbeds

Abstract. Satellite imagery data centres are designed to operate a defined number of satellites. For instance, difficulties when new satellites have to be incorporated in the system appear. This occurs because traditional infrastructures are neither flexible nor scalable. With the appearance of Future Internet technologies new solutions can be provided to manage large and variable amounts of data on demand. These technologies optimize resources and facilitate the appearance of new applications and services in the traditional Earth Observation (EO) market.

The use of Future Internet technologies for the EO sector were validated with the GEO-Cloud experiment, part of the Fed4FIRE FP7 European project. This work presents the final results of the project, in which a constellation of satellites records the whole Earth surface on a daily basis. The satellite imagery is downloaded into a distributed network of ground stations and ingested in a cloud infrastructure, where the data is processed, stored, archived and distributed to the end users.

The processing and transfer times inside the cloud, workload of the processors, automatic cataloguing and accessibility through the Internet are evaluated to validate if Future Internet technologies present advantages over traditional methods. Applicability of these technologies is evaluated to provide high added value services. Finally, the advantages of using federated testbeds to carry out large scale, industry driven experiments are analysed evaluating the feasibility of an experiment developed in the European infrastructure Fed4FIRE and its migration to a commercial cloud: SoftLayer®, an IBM Company.