In this project, you will use code based on Ludwig et al (2021) to combine OSM and satellite images to detect green spaces in urban areas. You will then visually and empirically assess the difference between OSM-only and OSM-Sentinel-2-fused green space availability. Empiric assessment is based on walkability scoring.
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Study the approach of Ludwig et al (2021) with respect to feasibility and adaptability. Describe advantages and disadvantages and compare them to other methods.
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Fuse satellite images and OSM information based on Ludwig et al (2021) methodology for a given territory. Hereby, critically assess and potentially improve code performance.
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Assess potential mismatching information between OSM and satellite images and provide appropriate visualization / descriptive statistics.
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Implementation of web service/API: The goal is to implement a service where a third party can supply a given location (longitude and latitude). The service then performs the satellite/OSM layering and returns certain to-be-defined parameters (e.g., the density of green space in a given surrounding area, shortest walking distance to the next green space, etc.).
Please check if you can apply for this project by visiting this website: https://www.cit.tum.de/cit/studium/studiengaenge/master-informatik/interdisziplinaeres-projekt/
If you are interested, please contact Valentin Kaufmann for further details.