CLASS Conference 2014, Bled, September 25-26 2014 Cloud computing for Earth observation Krištof Oštir, Tomaž Rodič and Grega Milčinski Slovenian Centre.

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CLASS Conference 2014, Bled, September 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

SPACE-SI

R&D activities

Microsatellite under development 70 kg satellite for earth monitoring and observation 2.8 m gsd from a reference altitude of 600 km four spectral channels ( nm, nm, nm, and nm). high-definition video at 1920 by 1080 pixels. real-time imaging and video streaming over Slovenia three-axis stabilized bus 50 mbps x-band downlink 128 gb of on-board storage, power system generating nearly 90 w 100 w-h li-ion battery. Ground control infrastructure

Number of active satellites

Satellites by country

Spatial resolution of images

Data volume TB per year per 100 km 2

WorldView-3 level of detail

WorldView-3

Detection of Japanese knotweed

Disaster monitoring 17 Floods around Ljubljana in September 2010, RapidEye image

Radarsat-2 RapidEye

Floods around Ljubljana in September 2010 rapid mapping product

Interactive graphs: Drought monitoring: Multitemporal land cover classification: Drought mapping

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

Establishment of a the Sentinel processing and archiving cloud

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

Mobile app Storms, hail Water levels Water pollution

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

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

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