TS03J: ADVANCES IN GEOAI [10590]

Commission: 3
Chair: Dr. Sagi Dalyot, chair FIG Commission 3, Israel
Rapporteur: Dr. Anna Shnaidman, Israel


Geospatial artificial intelligence (geoAI) combines innovations in spatial science and computational methods in AI and big data. The aim of this technical session is to bring together scholars from interdisciplinary scientific fields, among others, geography, geosciences, computer science, and engineering. In this session, cutting edge research related to machine learning, deep learning, data mining, and high-end computing will be presented, which aims to solve future challenges associated with disaster management, climate change, land, agriculture, health – and more.

• Open data and GeoAI – how to promote?
• Can GeoAI solve real-world problems?
• What to make a good GeoAI research?

Markus Schaffert and Michael Müller (Germany):
Combining GIS with Fuzzy Logic and Scenario Planning to Deal with Demographic Change. A Case Study on Medical Supply in Rural Germany (11925)
[abstract] [paper] [handouts]

Hassan Musa, Samuel Sule Garba, Ibrahim Kurfi Ahmed and Yakubu Yazeed (Nigeria):
Leveraging Deep Learning to Improve UAV Image Matching for On-Demand Mapping (12079)
[abstract] [paper] [handouts]

Darion Mahadeo and Raid Al-Tahir (Trinidad And Tobago):
Artificial Intelligence Techniques for Extracting Impervious Surface Areas from Satellite Imagery (12090)
[abstract] [paper] [handouts]

Michael Nyoagbe, John Ayer, Lily Lisa Yevugah and Yaw Mensah Asare (Ghana):
Flood Prediction Using Machine Learning and GIS as an Early Warning System (12205)
[abstract] [paper] [handouts]

Hartmut Mueller (Germany):
Some Considerations on the Potential Impact of Artificial Intelligence for Surveyors’ Work (12213)
[abstract] [paper] [handouts]