3D-MAPP: 3D-MicroMapping of Big 3D Geo-Datasets in the Web
The research project 3D-MAPP develops a web-based methodology to obtain digital geodata via the combination of data analysis by human and machine. Through a quick and easy-to-use 3D Web visualization users are able – in a few seconds – to solve 3D micro mapping tasks, which can hardly or even not be solved by automatic algorithms. Based on an extensive user study the idea of 3D-MAPP shall be evaluated empirically.
Within the project we implemented two crowdsourcing tasks. Both applications can be tested here:
Further project-related news can be found in our GIScience News Blog.
Teaching and 3D-geodata
We developed a course to teach the basics of 3D-data at schools.
movie examples of 3D-MicroMapping
- Herfort, B., Höfle, B. & Klonner, C. (2018): 3D micro-mapping: Towards assessing the quality of crowdsourcing to support 3D point cloud analysis. ISPRS Journal of Photogrammetry and Remote Sensing. Vol. 137, pp. 73 -83.
- Hillen, F., Gerdes, M., Herfort, B. & Höfle, B. (2016): 3D-MicroMapping: Crowdsourcing zur Klassifikation von 3D-Geodaten. AGIT - Journal für Angewandte Geoinformatik. Vol. 2, pp. 156-161.