TS07J: AI AND REMOTE SENSING FOR LAND ADMINISTRATION [10525]

Commission: 7
Chair: Dr. Kirsikka Riekkinen, Finland
Rapporteur: Ms. Linda Foster, United States

Artificial Intelligence (AI) and Remote Sensing bring opportunities and threats to land administration. This session takes a technical focus looking at how AI can support reimagining cadastral data capture (i.e., automatic boundary detection), process automation (e.g., OCI vs ICR), and cadastral data analytics.

Guiding Questions for Discussions:

• Help! Are the robots are stealing my job?
• How do we implement AI at scale?

Kees de Zeeuw (Netherlands) and Brent Jones (USA):
Decision Support for the Practical Implementation of Land Administration Systems (12125)
[abstract] [paper] [handouts]

Sheilla Ayu Ramadhani, Rahmat Sidik, Fitriyani Hasibuan and Hias Hardika Prabajati (Indonesia):
Assessing the Quality of Photo Imageries from UAVs for Cadastral Purposes in Indonesia (12065)
[abstract] [paper] [handouts]

Andy Kodua Boafo and Matthew Osei Junior (Ghana):
Utilizing UAV Techniques to Investigate the Dynamics of Encroachment on The Right-Of-Way for The N8 Highway in Peri-Urban Ghana (12193)
[abstract] [paper] [handouts]

Jeroen Grift (Netherlands), Claudio Persello (Italy) and Mila Koeva (Bulgaria):
Cadastral Boundary Delineation using Deep Learning and Remote Sensing Imagery: State of the Art and Future Developments (12013)
[abstract] [paper] [handouts]

Tareq Hasosah (Saudi Arabia):
Geospatial and A.I. Technologies for Cadastral Mapping and Land Registration (11800)
[abstract] [paper] [handouts]

Ali El Husseini (USA):
Hybrid Pre-Vectorization Approaches to Produce Accurate, Precise Maps to Scale up Boundary Demarcation for Property Rights Delivery: Case Study in Zambia’s Systematic Land Titling Project (11967)
[abstract] [paper] [handouts]

Ludmila Pietrzak, Pawel Hanus and Andrzej Hopfer (Poland):
Relations Between Registered Parcel, Boundary Section and Boundary Point, Using the Example of Poland (11952)
[abstract] [paper] [handouts]