GeoAI for Data Accuracy
Methods of Geospatial Artificial Intelligence (GeoAI) have developed rapidly. Concurrently, there is a rising demand for greater accuracy in both data and products. Artificial intelligence methods can help us to meet these needs.
In the context of the National Land Survey of Finland (NLS), the AI4TDB project aimed to enhance the accuracy of the topographic database using AI methods in the year 2023. This project primarily focused on improving the representation of buildings and watercourses. Throughout the project, we conducted numerous experiments and gained substantial knowledge in several areas:
a. Techniques for enhancing the accuracy of building vectors in the topographic database.
b. The utilization of deep learning for processing aerial images and Lidar data.
c. Enhancing watercourse detection through the incorporation of extended information.
d. Leveraging deep learning methods for monitoring changes in land use.
e. Deployment strategies for practical use of AI models in map production, among other topics.
In this event, we are honored to invite Dr. Petri Rönnholm, Senior University Lecturer, in Department of Built Environment, Aalto University, as the keynote speaker. He will talk about Geospatial Artificial Intelligence. If you’re interested in the topics and would like to dive deeper, we cordially invite you to register for the event.
This event is organized by NLS and Geoforum. The event will be organized as a hybrid, allowing you to participate either in person at Maria01 in Helsinki or online.