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GSC Sentinel-2 PDGS OCD - Emits - ESA

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<strong>GSC</strong> <strong>Sentinel</strong>-2 <strong>PDGS</strong> <strong>OCD</strong><br />

Issue 1 Revision 2 (draft) - 25.07.2010<br />

GMES-GSEG-EOPG-TN-09-0008<br />

page 171 of 350<br />

○ Directly through collaborations with the GSP entities themselves whereby their<br />

proprietary value-added processors can be hosted in the <strong>PDGS</strong> and remotely operated<br />

either on-demand or systematically on the incoming <strong>Sentinel</strong>-2 data-flow.<br />

Since it is expected that most information products likely to be developed by GSPs<br />

from <strong>Sentinel</strong>-2 data will be substantially reduced in size compared to the base<br />

products (e.g. land classification maps, flood extents, etc), this approach will contribute<br />

to solving data-access issues (and associated large-bandwidth network demands) by<br />

transporting the user processors close to the data source instead of the opposite.<br />

The hosted-processing collaboration opportunity will include options targeting specific usage<br />

and mode of operation:<br />

○ A first option to provide on-demand triggering capability of the user-provided<br />

processors on the available data. Triggering will be managed and performed by the<br />

users themselves after an initial step required for processor integration in the <strong>PDGS</strong>.<br />

○ A second option targeting the automated triggering of the user-processors on the<br />

incoming data flow for the autonomous generation of value-added products. The valueadded<br />

products will be generated automatically on the available input flow and put at<br />

disposal for download.<br />

In both scenarios, the generated products may benefit each peer collaborative entity alone, or<br />

a wider community as agreed in the collaborations.<br />

The first on-demand processing option is targeting either:<br />

○ The development of value-added applications requiring interactivity or applicable only<br />

under certain circumstances (e.g. a crisis event), whilst needing large volumes of data<br />

in input summarised by processing into a lightweight comprehensive product.<br />

○ The interactive test-bedding and validation of new algorithms as a preliminary step<br />

towards a potential sustained processing under the second scenario.<br />

The second automated production scenario is enabling the generation of bulk datasets with<br />

the objective of either:<br />

○ Avoiding massive data distribution to the users by performing production on their<br />

behalf provided the valued-added products have a substantially reduced volume<br />

compared to the one of the source data (e.g. data mining, land classification, etc);<br />

○ Offering research partners with the possibility to mature and validate new processing<br />

algorithms by applying them on large datasets possibly spanning several years and<br />

corresponding to various measurement conditions;<br />

○ Gradually enhancing the portfolio of <strong>GSC</strong> available datasets with new and mature<br />

value-added products under a collaborative IPR scheme.<br />

The service model enabling the collaborations will follow a shared workflow with a welldefined<br />

role-split between the <strong>PDGS</strong> operators and the collaborative partners inherited from<br />

the one in-place for G-POD CAT-1 opportunity implementations as recalled on Figure 4-31.<br />

<strong>ESA</strong> UNCLASSIFIED – For Official Use<br />

© <strong>ESA</strong><br />

The copyright of this document is the property of <strong>ESA</strong>. It is supplied in confidence and shall not be reproduced, copied or<br />

communicated to any third party without written permission from <strong>ESA</strong>.

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