The objective of the activity is to customise and integrate state-of-the-art EO data processing and data analytics workflows (called EO Engines) into existing data exploitation platforms, with the goal to demonstrate the value and use of geospatially explicit datasets to produce national statistics on SDG Targets and Indicators, to enable a seamless and cost-effective integration of EO data flows into official statistics on SDGs, and to allow an EO uptake in national processes and systems on SDGs, for different domains of use.
These SDG EO engines will include all the data workflows needed for data collection of EO and non-EO geospatially explicit datasets, data quality check, data preparation, data processing and data analytics, and their integration into federated cloud-based platform environments for SDGs.
The activity will be conducted in synergy with the Application Propagation Environment (APEx), a transversal application activity that supports the integration of innovative data processing, visualisation, analytics, statistics and dashboard functionalities through configurable functionality instantiation services and algorithm enhancement services.
The target user group is primarily the National Statistical offices and supporting agencies in charge of the production of national statistics on SDGs. The project will be done in consultation with a number of authoritative organisations (SDG Custodian Agencies, UN Statistics Division, IAEG-SDGs WGGI, EUROSTAT, GEO EO4SDG, CEOS Coordination Group on SDGs) which will be involved in the Project Advisory Board.
Learn more about this Invitation To Tender on the esa-star Publication page.