Currently there are many geospatial datasets available as open data. How about creating 3D models of any place on earth with this data?

In this talk it is shown how to create a 3D model of any place on earth using satellite data - or if available orthophotos - and elevation data. All datasets are completely open and can be downloaded and processed using Python, for example using geopandas or rasterio.

A jupyter notebook with an example processing workflow is provided with the talk.

Martin Christen

Affiliation: FHNW - University of Applied Sciences and Arts Northwestern Switzerland

Martin Christen is a professor of Geoinformatics and Computer Graphics at the Institute of Geomatics at the University of Applied Sciences Northwestern Switzerland (FHNW). His main research interests are geospatial Virtual- and Augmented Reality, 3D geoinformation, and interactive 3D maps. Martin Christen is very active in the Python community. He teaches various Python-related courses and uses Python in most research projects. He also organizes the yearly GeoPython conference and he is a board member of the Python Software Verband e.V. and of the EuroPython Society.

visit the speaker at: Github