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RSS Workshop



Resources for your EO research, application or service


12 October 2010 ESA/ESRIN Frascati, Rome, Italy

Dear EO Scientist, Application Developer or Service Provider,
ESA is pleased to invite you to the 1st RSS Workshop on October 12, 2010 at ESA/ESRIN via G. Galilei, Frascati, Italy.

The objectives of the Workshop are to:

  • Provide an overview of the support for EO research and service development made available by ESA;
  • Obtain your requirements and feedback on expected evolutions of available tools and environments.

The following areas will be covered during the workshop:


Your own algorithms – easier and faster through the Component-based Processing Environment


RSS users, from Tor Vergata University, Cagliari University and MEEO, present the NEUMAPPER land classification and Carbon Stock assessment use cases. An introduction to the Component-based Processing Environment (CPE) use and resources is also presented.

Your own algorithms – how to validate?

Cagliari University together with Integra present the use case Parco dei Castelli Romani. Reference Data Sets (RDS) and Data Model are introduced as well.


Your own algorithms – processing on demand!


In this session 3 use cases are proposed: Fast Access to Imagery for Rapid Exploitation (FAIRE), presented by ESA, MERIS Global Vegetation Index (MGVI), presented by JRC, and Volcanic Ash Remote Sensing (MIVARS), presented by Sapienza University of Rome. An overview of the Grid Processing On Demand (G-POD) use and resources is given as well.

Your own services – orchestrate & collaborate via the Service Support Environment!

The proposed use cases regard the utilisation of the SSE technology in the context of GEOLAND2 and the evolution of SSE through the EU’s Research Framework Programme, respectively presented by EOX and Spacebel. An overview of the Service Support Environment (SSE) use and resources is also presented.


Information Mining – mining made simpler!


Knowledge-based Information Mining (KIM) use and resources are introduced. Use cases are presented by DLR and Tor Vergata University.

Evolution analysis – model evolution and find time pattern matching!

Multi-sensor Evolution Analysis (MEA) is introduced and use cases based on AATSR data are presented by MEEO.


You can download here the complete program.

For more information fell free to contact us

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