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Lecture
Are you an EPFL student looking for a semester project?
Work with us on data science and visualisation projects, and deploy your project as an app on top of Graph Search.
This lecture introduces Google Earth Engine (GEE) by using publicly available datasets to conduct spatial analyses on Swiss cantons. The project consists of five parts: Elevation Model, Precipitations, Land Use Data, NDVI, and Correlations. Students will calculate various variables of interest for each canton and analyze correlations between precipitation, elevation, forest coverage, and NDVI. The lecture covers loading Sentinel-2 imagery, filtering datasets, masking clouds and shadows, and calculating average NDVI per canton.