Introduction The CEOS Land Surface Imaging Virtual Constellation (LSI-VC) recently prepared revised Terms of Reference in accordance with the decision made at the 28th CEOS Plenary (2014) to refocus the group. The revised LSI-VC Terms of Reference provide high-level guidance on the LSI-VC’s new direction (Table 1). 3-Year Horizon 5-Year Horizon Space Segment Aggregate and analyze Harmonize acquisition multiple sets of plans across major validated, international land surface specific requirements imaging programs to to identify gaps and support validated opportunities for specific requirements optimization and improve interoperability and complementarity Optimize and harmonize CEOS Agency global data collections, as much as possible. Explore architectures Establish the framework Ground Segment and Information Systems for future distribution for an architectural that would potentially network with the enable the analysis of capability to analyze very very large land surface large land surface imaging imaging datasets, datasets trialed across at least three nations/regions Stimulate an environment conducive to the creation of analysis-ready data to enhance usage and exploitation of the CEOS data portfolio for land surface imaging
Introduction The CEOS Land Surface Imaging Virtual Constellation (LSI-VC) recently prepared revised Terms of Reference in accordance with the decision made at the 28th CEOS Plenary (2014) to refocus the group. The revised LSI-VC Terms of Reference provide high-level guidance on the LSI-VC’s new direction (Table 1). 3-Year Horizon 5-Year Horizon Space Segment Aggregate and analyze multiple sets of validated, requirements to identify gaps and opportunities for optimization and improve interoperability and complementarity Optimize and harmonize CEOS Agency global data collections, as much as possible. Harmonize acquisition plans across major international land surface imaging programs to support validated requirements Ground Segment and Information Systems Explore architectures for future distribution that would potentially enable the analysis of very large land surface imaging datasets, trialed across at least three nations/regions Stimulate an environment conducive to the creation of analysis-ready data to enhance usage and exploitation of the CEOS data portfolio for land surface imaging Establish the framework for an architectural network with the capability to analyze very large land surface imaging datasets specific specific
SITWS2015_06_LSI-VC_Draft_Implementation_Plan-_v1_29june2015.docx