GAMIN-2026:

Harnessing the full potential of today's geospatial data represents a major scientific and technological challenge, with significant societal and economic implications. Public and private stakeholders are increasingly confronted with massive, heterogeneous, and multi-source datasets, including geographic data, maps (digital and analogue), images, videos, reports, and often incomplete, uncertain or conflicting information.

These challenges are particularly critical in water-related domains, spanning both urban and rural contexts alike: drinking water systems, wastewater and stormwater networks, pumping infrastructures, and river, including flood risk management. In such settings, the integration and intelligent analysis of diverse data sources are essential to improve network mapping and environmental monitoring, and to support decision-making.

Recent advances in GeoAI, computer vision and data-driven approaches open up new perspectives for addressing these challenges. In particular, object detection in images and videos, data enrichment, and uncertainty-aware integration methods play a key role in enhancing the quality and usability of geospatial information.

This GAMIN2026 workshop aims to bring together researchers and practitioners working on GeoAI, multi-source data integration, and intelligent data processing, with a special focus on urban and rural water systems as well as image and video-based analysis for infrastructure and environmental intelligence.

Venue:

This GAMIN2026 workshop will take place at HSM (HydroSciences Montpellier)  in the city of Montpellier (south of France):

HSM 

Université de Montpellier
Bâtiment Hydropolis

15 Av. Charles Flahault, 

34093 Montpellier Cedex 05

The site location is available through this link. 

Contact:  gamin2026@cril.fr