DINAMIS : National Institutional system for shared access to satellite imagery

About this good practice
DINAMIS achieves its objectives by providing a platform for accessing high-resolution satellite images and data. It offers both commercial optical data (Pléiades and Spot) and free high-resolution radar data (Sentinel-1). The data ranges from high-resolution optical (less than 1m) to medium resolution (10m for Sentinel-2) and includes multispectral and radar images. It also provides a catalog of available data, acquisition options, and user support for integrating the data into workflows. By centralizing these resources, DINAMIS enables stakeholders to access the data they need without barriers while promoting interoperability across spatial data applications. It serves as an example of collaboration between research and non-scientific data users.
Key actors include CNES, CNRS, IGN, INRAE, IRD, and CIRAD. Main beneficiaries are scientific communities, public decision-makers, and local authorities relying on satellite data for environmental monitoring and urban planning, supporting sustainable land management and regional policy development.
Resources needed
DINAMIS is based on a mixed financial model, containing publics funds and members contributions. The working team includes technical staff, data analysts, customer support and satellite data storage infrastructure.
Evidence of success
DINAMIS has succeeded in centralizing access to high-resolution satellite data, with measurable results such as the availability of over 100 satellite images for research, territorial management and public policy personnel. The platform has proved essential for environmental monitoring and territorial management in several French regions.
Potential for learning or transfer
DINAMIS can serve as a model for regions wishing to centralize access to satellite data for public and private use. Key success factors include strong public-private collaboration, the integration of commercial and open-source data, and the creation of a platform. However, the transfer of this model can be hampered by differences in data availability, funding mechanisms and the technical infrastructure required to host and process large quantities of data. This practice could be particularly useful for regions in Europe and beyond, wishing to use satellite data for urban planning, climate monitoring and natural disaster management. In countries such as Spain and Italy, similar initiatives have been explored, taking advantage of the centralized access model and improved data use.
Further information
Good practice owner
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