ESA Open Invitation to Tender AO9542
Open Date: 04/12/2018
Closing Date: 31/01/2019 13:00:00

Status: ISSUED
Reference Nr.: 18.187.09
Prog. Ref.: Mission Management
Budget Ref.: E/E110-E5 – Mission Management
Special Prov.: BE+DK+FR+DE+IT+NL+ES+SE+CH+GB+IE+AT+NO+FI+PT+GR+LU+CZ+RO+PL+EE+CA+SI
Tender Type: C
Price Range: 200-500 KEURO
Techology Domains: Space System Software / Earth Observation Payload Data Exploitation / Applications and Services
Establishment: ESRIN
Directorate: Directorate of EO Programmes
Contract Officer: Frigot, Emma
Industrial Policy Measure: N/A – Not apply
Last Update Date: 04/12/2018
Update Reason: Tender issue

Earth Observation (EO) data resulting from satellite missions provide routine, frequent, and high resolution monitoring of our environment at the global scale, delivering an unprecedented amount of data. This expanding operational capability of global monitoring from space, combined with data from long-term EO archives (e.g. ERS, Envisat), and data and information from other sources, containsa wealth of information on the state of our planet, waiting to be mined. However, the value of EO data for scientists, technologists, application and service developers, for society and for the general public lies in the information it contains. This treasuretrove of information is at times locked away behind layers of complexity and a steep, sometimes unsurmountable learning curve. The aim of this activity is to develop a search environment for “EO Linked Data”, operating at the intersection of natural language and geospatial search engines to enable easy and rapid search of relevant EO data and information, integrate them with contextual information (on mission, product, services), and ensure full traceability of the data/information and processing workflow for reproducibility. As such this tool is inherently complementary to other existing/future tools enabling data access such as DIAS, forming with theman integrated gateway to data and information. This activity could therefore be seen as enabling the development of an additionalsearch engine-based brokering layer on top of the various data store instances (e.g. DIAS), to ease the discovery of EO data, products, services, and relevant contextual information.

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