Converging official statistics with Earth Observation

forthcoming

In the presented project, the collaboration between two NSIs (Netherlands, Germany) will foster innovation and reduce parallel developments by building together upon established workflows, platforms and datasets as well as upon shared knowledge. This shared knowledge extends not only on the joint development of EO derived indicators (EODI) on air pollution (satellite Sentinel-5P) to be used in a common geospatial framework, but additionally on a complex transferability exercise of established methodology and products of crop yield pipeline providers to the project partners. The estimation of crop yields from satellite data is a successful product at the state statistical office in Hesse, Germany as well as a methodology developed by Statistics Poland – among others. The project aims to provide best practice examples to produce EO derived indicators and their integration with official statistical data in the CDSE. This should promote the use of EO data into the national statistical offices, by demonstrating the potential of EO data use in the indicator domains (air quality and agricultural crop yields). Data on air quality and emissions can deliver relevant information for specialized statistics (health statistics, economic statistics, environmental accounts and environmental statistics, SDG monitoring and currently unidentified needs) as well as for affected citizens. Through calculation of these indicators on the CDSE and disseminating the methodology via code examples, the processing can be replicated across different geographical regions.