Virtual Environments for Spatial Data Infrastructures on Computing Grids

Spatial Data Processing and Infrastructures are the core of future remote sensing and photogrammetry for the Earth Observation industry. For this to become an operational and production reality, quantum leap breakthroughs are to be achieved, concerning in particular image processing, error correlations, alert definitions, best usage practices, data encryption and code validation. Because problems that are expected to be orders of magnitude larger than current single discipline applications, like weather forcasting, are likely to be addressed, e.g., environmental disaster prevention and emergency management, new computing technologies are required.

Provided by: International Society for Photogrammetry and Remote Sensing Topic: Virtualization Date Added: Jan 2012 Format: PDF

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