Today our EAGLE students applied data munging, pipes, plotting and statistics using colour distribution of sweets. They specifically used the dplyr, ggplot, kableExtra and others to compute derivatives, rearrange the data, plot it and run statistics on colour distribution differences between different sweet packages. After this initial task of the course “spatial prediction and modelling” actual spatial prediction of in-situ point data combined with remote sensing data will be performed. This course will cover a wide range of approaches and packages to run spatial models and predict them spatially and temporally.
EAGLE MSc Defense: “Detecting Snow Phases and Runoff Using Sentinel-1 SAR and Multispectral–Optical Data”
On December 09, 2025, Daria Ushakova will present her Master Thesis on " Detecting Snow Phases and Runoff Using Sentinel-1 SAR and Multispectral–Optical Data " at 13:00 in seminar room 3, John-Skilton-Str. 4a. From the abstract: Snow is a crucial component of the...
