A major barrier in the exploitation of Planetary data is the lack of an effective integration of the data and the processing resources supporting the entire data management cycle, namely from data discovery till to the generation and visualization of spatial data products.
In the NEANIAS Space services, planetary data is being handled by the ADAM-Space platform, a suite of services for geospatial data exploration [https://explorer-space.adamplatform.eu/]. Originally conceived to Earth data exploration, in the context of the NEANIAS project the ADAM platform has been extended the support to planetary data missions.
ADAM Space is a thematic customization for planetary data of the ADAM platform to enable access to surface image data from Mars and the Moon provided by NASA and ESA imagery. While ADAM and ADAM-Space are accessible through different web user interfaces [https://explorer.adamplatform.eu/, https://explorer-space.adamplatform.eu/], both rely on the core backend data access service component. In this article, we will go through some functionalities of ADAM and, more importantly, the concept of the integration of micro-services within NEANIAS and the meaning of ADAM for the scientific community to have planetary-data-as-a-service.
The goal of ADAM Space service is to setup and integrate in the European Open Science Cloud (EOSC) infrastructure a platform to handle Planetary Space Data and provide broad use services (e.g., image mosaicking) as well as CPU/GPU intensive on-demand processing tasks (e.g., landing-sites) that require reliable cloud resources at scale. Making Planetary Space Data and those services publicly available increases the FAIRness level and fully supports reproducible data science.
To make data FAIR - Findable, Accessible, Interoperable and Reusable - , ADAM implements open standards data format and access interfaces as well as high-level interfaces for improved data accessibility. On such interfaces, besides the graphical web-app at https://explorer-space.adamplatform.eu/, the user is provided with the ADAM-API, a RESTful interface and Python API for non-interactive, machine-ready access of data.