Experiences in building a Grid-based platform to serve Earth observation training activities

Earth observation data processing and storing can be done nowadays only using distributed systems. Experiments dealing with a large amount of data are possible within the timeframe of a lesson and can give trainees the freedom to innovate. Following these trends and ideas, we have built a proof-of-the-concept platform, named GiSHEO, for Earth observation educational tasks. It uses Grid computing technologies to analyze and store remote sensing data, and combines them with eLearning facilities. This paper provides an overview of the GiSHEO's platform architecture and of its technical and innovative solutions.

► A platform for educational tasks in Earth observation is introduced and analyzed.
► It uses Grid computing technologies for remote processing and storage of sensing data.
► New solutions are proposed for data management and image processing service deployment.
► Earth observation tasks are encapsulated as services for near-real time applications.