ESA Intended Invitation To Tender

18.187.09


Title: A NEW GENERATION OF LINKED EARTH OBSERVATION DATA SEARCH ENGINE
AO Number: 1-9542
Program ref.: Mission Management
Tender Type: C
Quarter: 184
Tender Status: ISSUED
Price Range: 200-500 KEURO
Budget Ref.: E/E110-E5 - Mission Management
Proc. Prop.: NO
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
Establishment: ESRIN
Contract Officer: Frigot, Emma
Techology Domains: Space System Software / Earth Observation Payload Data Exploitation / Applications and Services
Industrial Policy Measure: N/A - Not apply
Publication Date: 17-SEP-18

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.