EuroSDR, a non-profit organization since 1953, connects European National Mapping and Cadastral Agencies (NMCAs), academics, and private sector stakeholders to foster innovation in geospatial technologies. It organizes workshops, research initiatives, publications, and educational programs. Key courses for 2025 include AI-based 3D modeling, point cloud processing, machine learning for earth observation, and spatial data quality.

This workshop highlighted AI’s practical applications in NMCA workflows, such as aerial image validation and mapping. Emphasizing collaboration, it showcased AI’s potential to enhance efficiency and reliability, with findings to be published in a report.

Prominent organizations shared insights on AI in geospatial processes. 1Spatial demonstrated ML’s role in data management and infrastructure planning, while Esri showcased GeoAI’s transformative impact, including building detection and land cover mapping. Cyclomedia presented AI-driven 3D mapping for infrastructure assessment, leveraging models like YOLO v8.

Government initiatives included Sweden’s Lantmäteriet, which uses ML for mapping buildings and forest roads, and Spain’s IGN, which employs AI to update transport maps. Germany’s BKG focused on AI for disaster mapping and governance, while the Estonian Land Board refined topographic updates using ML.

Other highlights included Kadaster’s ambition to automate its deed registration through NLP, Catalonia’s ICGC’s AI applications in vegetation monitoring and forest segmentation, and Ordnance Survey’s GeoAI solutions for productivity and mapping.

To conclude, AI is revolutionizing geospatial analysis, enhancing accuracy, and streamlining workflows. EuroSDR’s collaborative network continues to be instrumental in advancing these innovations.