In studies looking at public sector investments (eg in Copernicus), socio-economic studies analyse the economic benefits which will be generated. For EO programmes, this approach is very top down looking at broad brush benefits. In a study funded by ESA, EARSC, in collaboration with the Green Land BV ,has been developing an alternative approach which is very focused and bottom-up.
The goal of the study was to gather quantitative evidence that the usage of Copernicus Sentinel data provides an effective and convenient support to various market applications. As part of it, we defined and applied a new methodology to assess the full benefits (direct and indirect) stemming from the use of EO-derived geospatial information, in a way which has not been tackled before.
We examined how the benefits of using these data either do or can affect a full value chain by starting from the primary usage and then following the related impact down various identified tiers in the value chain. The new methodology was applied to three use cases, which have been selected considering the maturity of the application as well as the feasibility for the sake of the study.
Farm Management Support in Denmark is the fourth case study.