GSC Sentinel-2 PDGS OCD - Emits - ESA

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GSC Sentinel-2 PDGS OCD Issue 1 Revision 2 (draft) - 25.07.2010 GMES-GSEG-EOPG-TN-09-0008 page 78 of 350 Landsat experience and they are extrapolated for Sentinel-2, leading to a first estimate of 400Tbytes as yearly supply requirement. In this respect, the ability of the PDGS to scale adequately to this short-term to long-term evolution, planned or unplanned, is considered a major PDGS driver to meet the Sentinel-2 mission objectives in the long-term. In this sense, scalability is focusing on the accessibility to data down to the download from the user base. 4.3.5.4 G-POD Experience at ESA Since 2007, ESA is running a collaboration opportunity for conducting Earth Science research activities through the use of ESA’s Earth Observation Grid Processing-on-Demand (G-POD) environment [http://gpod.eo.esa.int], called the G-POD CAT-1 Opportunity [RD-36]. This opportunity, performed in partnership with end-users, has the main purpose of stimulating the use of global EO mission archives, offering attached computing infrastructure and tools with on-line access to data to assist the generation of scientific added-value products. Since then, wide-ranging projects are supported under this collaboration framework whereby the scientific or institutional partners run their own data-processors in the shared G-POD environment and process large amounts of data while tailoring it to their specific needs, including: ○ The prototyping, development and validation of new algorithms requiring large amounts of long-term data and processing resources; ○ The timely extraction of long-term time series of lightweight data from Terabytes of mission archived data; ○ The swift on-demand pre-processing of new or past EO data in direct response to urgent data supply needs. As combining the dual roles of an on-line investigation laboratory and a powerful operational production system, the G-POD opportunity tends to extend to supporting more and more sustainable services and productions. The following outcomes are highlighted in particular: ○ A large number of Level-2 or Level-3 products from Envisat, ERS or third-party missions are operationally hosted on G-POD as derived from the G-POD CAT-1 opportunities and other ESA projects; ○ New Level-2 products resulting from the G-POD collaboration opportunities are being sustained in production and take part to the operational data-supply services of the GSC/DAP (DAP_MG3_02 Data-Set [RD-10]). ○ G-POD hosts since October 2009 the on-demand service for emergency response called FAIRE (Fast Access to Imagery for Rapid Exploitation) supporting the preparation of crisis mapping data (spatially registered and ortho-rectified time series of ERS/Envisat SAR images) for the Internal Charter Space and Major Disasters [http://www.disasterscharter.org]. ESA UNCLASSIFIED – For Official Use © ESA The copyright of this document is the property of ESA. It is supplied in confidence and shall not be reproduced, copied or communicated to any third party without written permission from ESA.
GSC Sentinel-2 PDGS OCD Issue 1 Revision 2 (draft) - 25.07.2010 GMES-GSEG-EOPG-TN-09-0008 page 79 of 350 ESA UNCLASSIFIED – For Official Use Figure 4-2 Illustration of the G-POD FAIRE Service The hosted-processing approach recently demonstrated on G-POD brings the following benefits regarding the enhancement of GSC services by means of third-party collaborations outlined in section 4.2.6 for Sentinel-2: ○ It allows the tight coupling of third-party provided processors within an operational production system hence allowing for operational sustainability of service enhancements; ○ It eases the test-bedding and thorough validation of new complementary Sentinel-2 value-added products (e.g. Level-2B) on large datasets before operational transfer, while avoiding bulk product transportation operations commonly required for algorithm development; ○ It enables the development of high-performance downstream services in collaboration with GSPs whereby the GSP-proprietary value-added processors can be remotely operated in the PDGS either on-demand or systematically being hooked on the incoming Sentinel-2 data-flow. Since it is expected that most information products likely to be developed by GSPs from Sentinel-2 data will be substantially reduced in size compared to the base products (e.g. land classification maps, flood extents, etc), this approach will contribute to solving data-access issues (and associated large-bandwidth network demands) by transporting the user processors close to the data source instead of the opposite. ○ It eases the management of Intellectual Property Rights (IPR) associated to the operational deployment of new GMES products and services while allowing for a well balanced sharing of a common GSC infrastructure. It is also highlighted from the G-POD experience that dedicated support is required on the GSC side to enable the collaborations. At present, G-POD hosted-processing collaborations follow the collaborative model described in [RD-37] defining the respective roles on both sides of the partnership and an outline of the collaboration workflow. 4.3.6 TECHNOLOGY EVOLUTION DRIVERS Whilst spacecraft design and operations is primarily constrained by the available space systems technology, PDGS designs are primarily based on common data-handling technology which evolves at a much higher rate thanks to other application actors and wide ranging businesses involved in driving technology evolutions. In particular, the recent and ever developing advances in the handling of digital media over the Internet down to home © ESA The copyright of this document is the property of ESA. It is supplied in confidence and shall not be reproduced, copied or communicated to any third party without written permission from ESA.
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4.6.3 OPERATIONAL TRANSFER BASELINE
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Product- Type Identifier S2MSI0 S2M
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5 PDGS DESIGN GSC Sentinel-2 PDGS O
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○ Effective processing resources
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o preserving integrity of exchanged
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6 DETAILED OPERATIONS CONCEPTS GSC
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o Report generation frequency and c
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○ MSI L1A, L1B, L1C and TCI produ
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Some relevant use cases are present
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Two main mapping services have been
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The requirement on the cloud covera
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