About This Course

The course explores the integration of Python with Volunteered Geographic Information (VGI) for spatial data analysis and geospatial insights. It covers key methodologies, tools, and datasets to leverage VGI in diverse applications. Participants will gain hands-on experience with:

The course aims to connect theoretical foundations with practical applications in urban and environmental planning, fostering the ability to work with open geospatial datasets and Python-based tools effectively (Access this course on GitLab).

Level

Intermediate, Advanced

Requirements

Basic knowledge of Python, Basic knowledge of digital image processing and Geographic Information Systems

Course Curriculum

Lesson 1: Setting up Your Workspace

Lesson 2: OHSOME Building Development

Lesson 3: OHSOME Buildings Extraction

Lesson 4: Assessing Flood Damage

Lesson 5: Combining OSM Amenities and GEE Population Data

Lesson 6: osmnx Network Analysis

Lesson 7: osmnx Buildings and Roads

Resources

The future is urban, the data is smart by Andreas Rienow, Lars Tum

Administration

Farzaneh Sadeghi