GSC Sentinel-2 PDGS OCD - Emits - ESA
GSC Sentinel-2 PDGS OCD - Emits - ESA
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 />
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