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CLASS Conference 2014, Bled, September 25-26 2014
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CLASS Conference 2014, Bled, September 25-26 2014

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  1. Cloud computing for Earth observation Krištof Oštir, Tomaž Rodič and Grega Milčinski Slovenian Centre of Excellence for Space Sciences and Technologies, Research Centre of the Slovenian Academy of Sciences and Arts and Sinergise CLASS Conference 2014, Bled, September 25-26 2014

  2. SPACE-SI

  3. R&D activities

  4. Microsatellite under development 70 kg satelliteforearthmonitoringandobservation 2.8 m gsdfrom a reference altitudeof 600 km fourspectralchannels (450-520 nm, 520-600 nm, 630-690 nm, and 760-900 nm). high-definition video at 1920 by 1080 pixels. real-time imagingand video streamingoverSlovenia Groundcontrolinfrastructure three-axisstabilizedbus 50 mbps x-band downlink 128 gbof on-boardstorage, powersystemgeneratingnearly 90 w 100 w-h li-ion battery.

  5. Number of active satellites

  6. Satellites by country

  7. Spatial resolution of images

  8. Data volume TB per year per 100 km2

  9. WorldView-3 level of detail

  10. WorldView-3

  11. WorldView-3

  12. WorldView-3

  13. WorldView-3

  14. Detection of Japanese knotweed

  15. Disaster monitoring Floods around Ljubljana in September 2010, RapidEye image 23.9.2010

  16. Radarsat-2 RapidEye

  17. Floods around Ljubljana in September 2010 rapid mapping product

  18. Drought mapping Interactivegraphs: Droughtmonitoring: Multitemporallandcoverclassification:

  19. Space-SI Processing chain is cloud ready Remotesensingdata Test data: RapidEye Various full-frame and pushbroomsensors Data preparation Geometric corrections GCP extraction Orthorectification Atmospheric correction Radiometric corrections Pleiades Topographic correction Change detection Generationof Results NDVI generation NDVI changes THEOS Data catalog WorldView-2 End user Services Web mapping of products End user triggered re-processing RapidEye

  20. Establishment of a the Sentinel processing and archiving cloud

  21. Crowdsourcing Mobile app Web GIS Web services Close the loop between satellite developers, operators, expert users and genereal public

  22. Mobile app • Storms, hail • Water levels • Water pollution

  23. Conclusions • Satellites are generating huge amount of data • Only information – report, yes/no, alert - is relevant to the end user • Automatic processing is necessary • Steps are defined and tested – ready to be implemented in the cloud

  24. Conclusions • ICT technologies • Space and ground infrastructure • Smart cities and communities • Spatial data • Planning • Crowdsourcing • Smart use of resources • Health

  25. Contact: kristof.ostir@space.si W: http://www.space.siE: office@space.si