Bridging scales, dimensions, and disciplines GIScience and 3D Spatial Data Processing at Heidelberg University
by Mr. Martin Hammerle Chair of GIScience, Heidelberg University
Spatial data analysis is a core task in geoscientific research. In the presentation, current research on spatial aspects of user-generated data or big data from social media is introduced. The main focus will be set onto 3D spatial data such as point clouds from laser scanning. The analysis of point clouds results in 3D geoinformation which strongly contributes to tackling challenges in geography. Increasingly, approaches for capturing point clouds are available, but methods for processing the resulting datasets have yet to be developed. Recently developed point cloud processing procedures and algorithms are introduced with exemplary case studies, ranging from geomorphology to precision agriculture and including collaborative point cloud processing and LiDAR simulations. The talk will close with reflections on going beyond the third dimension for the benefit of geoscientific research.
Date: 8 September 2017 (Fri)
Venue: FYB 221