GSC Sentinel-2 PDGS SRD - emits - ESA

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GSC Sentinel-2 PDGS SRD Issue 1 Revision 2 (draft) - 25.07.2010 GMES-GSEG-EOPG-RD-09-0028 page 98 of 204 geographical location filters; semantic filters such as PDI data-type, MSI acquisition mode, cloud cover threshold, quality checks threshold, etc; PDI processing baseline version on-line or off-line availability etc S2-PDGS-AI-105 The PDGS/AI function shall support archive-to-archive data circulation mechanisms between several distributed archive instances my making use of the DC function for the actual data transportation (by electronic circulation means and/or media). S2-PDGS-AI-110 The PDGS/AI function shall be able to define consistent archive-to-archive circulation rules using the PDI filtering capabilities for automatic inter-archives circulation. E.g. Level- 1C tiles acquired over Italy with cloud cover of less than 30% are circulated systematically to a mirror archive. S2-PDGS-AI-115 The PDGS/AI function shall be able to define circulation rules for single PDIs or group of PIDs to selected destinations for other purposes than archive-to-archive circulation. E.g. all HKTM PDIs are circulated to the PDMC to be forwarded to the FOS; OLQC generated PDIs are circulated to the MPAC for off-line assessment, etc. S2-PDGS-AI-120 The PDGS/AI function shall support the circulation of individual PDIs between sites (e.g. HKTM PDIs circulation to the PDMC, OLQC PDIs to the MPAC, etc) S2-PDGS-AI-125 The PDGS/AI function shall allow the operator to perform data selection and trigger circulation operations interactively via an HMI. S2-PDGS-AI-130 The PDGS/AI function shall be able to interface with the LTA service function for autonomous data archiving and retrieval activities to/from long-term storage. S2-PDGS-AI-135 The PDGS/AI function shall systematically maintain the inventory of all data physically archived in the LTA. 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 SRD Issue 1 Revision 2 (draft) - 25.07.2010 GMES-GSEG-EOPG-RD-09-0028 page 99 of 204 S2-PDGS-AI-140 The PDGS/AI function shall perform off-line data retrieval from the long-term archive in a transparent manner to the other PDGS functions, apart from the possibly increased access latencies compared to the retrievals from on-line storage. S2-PDGS-AI-145 The PDGS/AI function shall allow the operator to move large volumes of data from local on-line storage to LTA storage or vice-versa interactively from the HMI using PDI filtering capabilities. S2-PDGS-AI-150 The PDGS/AI function shall support a batch mode of operation to copy automatically large volumes of data from on-line local storage to LTA storage or vice-versa according to a configurable time schedule and PDI filtering criteria. The scheduling shall order the operations to be performed periodically (e.g. daily) in trunks of mission time in either ascending and descending order of orbits. S2-PDGS-AI-155 The PDGS/AI function shall autonomously apply a configurable data-retention policy over the data archived along time defined by means of data-retention rules based on the PDI filtering capabilities and including: data clean-up operations (e.g. S2MSI1C data older than 1 month, with cloud cover higher than 85% and outside of Europe is physically removed). data copy operations from on-line storage to long-term storage through the LTA service function (e.g. all Level-0 data is systematically copied when 7 days old to the long-term archive) S2-PDGS-AI-160 The definition of the data-retention policy shall include the flexible configuration and management of caching capabilities in the on-line storage such that: LTA restored data can be kept on-line for a configurable time after restore (e.g. when triggered by data-access operations) or can be managed interactively by the operator; The data can be maintained on-line according to its frequent/infrequent usage for processing or data-access operations in view of optimising the overall archive performance; The data retention on-line can be modified on individual items interactively by the operator. S2-PDGS-AI-165 The PDGS/AI function shall allow the operator to query upon and visualise dynamically and graphically through the HMI the contents of the archive with associated statuses on its elements (e.g. scheduled times for retention operations, circulations performed, planned operations, current operations, on-line/off-line items etc). 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.
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