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 Innolab Presentation: “From UAV to Satellite: Fractional Snow Cover Estimation at Sentinel-2 Resolution”
On March 03, 2026, Lutz Kleemann will present his Innolab results on "From UAV to Satellite: Fractional Snow Cover Estimation at Sentinel-2 Resolution" at 12:00 in seminar room 3, John-Skilton-Str. 4a. From the abstract: Fractional Snow Cover (FSC) estimation is an...
