Lecture

Introduction to Google Earth Engine

Description

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.

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