AD4GD’s mission is to co-create and shape the European Green Deal Data Space as an open hub for FAIR data and standards-based services that support the key priorities of pollution, biodiversity and climate change.
| Component | Description |
|---|---|
| Pilot 1: Water Quality | Scenario analysis tools for small Berlin lakes |
| • RAINBOW Data | Water quality vocabularies published in the OGC RAINBOW hosted instance |
| • Sentinel-2 Trophic State Estimation | Computing Remote Sensing Indices using OpenEO |
| • SplashBoard | Tool for displaying indicators of water quality of small urban lakes |
| Pilot 2: Biodiversity | Determining whether animal habitats are being disconnected |
| • RAINBOW Data | Essential Biodiversity Variables (EBVs) published in the OGC RAINBOW hosted instance |
| • Data4Land | Enriching land-use/land-cover data with OSM and protected areas |
| • Graphab PostProc | Containerised Graphab software for postprocessing |
| • Miramon Proc | Instructions to run MiraMon ICT for connectivity calculation |
| • GBIF2IUCN | Enrichment of species data with IUCN, GBIF and ancillary sources |
| • Data Cubes | OGC Coverages for Open Data Cube |
| • BioConn | Tool for displaying habitat connectivity |
| Pilot 3: Air Quality | Using IoT data to improve air quality forecasting |
| • Data Processing | Documentation and code for the dataset. |
| • Cross Data Store | Metadata configuration for this dataset on the Cross Data Store |
| • RAINBOW Data | Air quality vocabularies published in the OGC RAINBOW hosted instance |
| Cross-Domain Components | Non-domain-specific components |
| • GDIM | Green Deal Information Model |
| • Data Harmonisation Pipelines | Data harmonisation pipelines to generate GDIM compliant data |
| • STA Generation Service | SensorThings API generation service from GDIM compliant data |
| • RAINBOW Lookup | Lookup widget for vocabularies published in the OGC RAINBOW hosted instance |
| • CSVW Annotator | Integrating OGC RAINBOW vocabularies and terms into other interfaces and systems |
| • Data Ingestion | IoT Sensor Ingestion Tools |
| • EDC MVDS | EDC Minimal Viable Dataspace with extensions/improvements in AD4GD |
| • Connector Best Practices | IDSA compliant Dataspace Connector designed for the AD4GD Dataspace |
| • STAplus Best Practices | Sensor Things API plus (SATplus) best practices |
| • TAPIS | Tables from OGC APIs (TAPIS) - frontend tool |
| • Geonetwork Catalog Best Practices | Catalog solution for geospatial data |
| • Data Trustworthiness | A framework for documenting the lineage, uncertainty and quality of datasets |
The focus of AD4GD was on interoperability concepts that bridge the semantic and technology gaps which currently prevent stakeholders and application domains from multi-disciplinary and multi-scale access to data, and which impede the exploitation of processing services, and processing platforms at different levels including Cloud, HPC and edge computing.
This project produced tools to enable the combination and integration of data from remote sensing, established Virtual Research Environments and Research Infrastructures, Internet of Things (IoT), socio-economic data, INSPIRE and Citizen Science (CitSci) in an interoperable, scalable and reliable manner. This facilitates integration by including semantic mappings to different standards and dominant models bridging domain- and data source-specific semantic concepts such as the Essential Variables framework, as well as applying machine learning and geospatial user feedback to ensure quality, reliability and trustworthiness of data and transforming spatial scales.
The work has been co-funded by the European Union and the United Kingdom under the Horizon Europe AD4GD Project.