EAGLE students coding with sweets

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.

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Successful MSc Defense by Anna Bischof

Successful MSc Defense by Anna Bischof

We congratulate Anna Bischof on the successful defense of her MSc thesis, "Feasibility of Unoccupied Aerial System-Based Active Fire Monitoring in African Savannas." Anna's research addressed one of the key challenges in fire ecology and remote sensing: understanding...

Successful MSc Defense by Laura Obrecht

Successful MSc Defense by Laura Obrecht

At the recent EAGLE MSc defenses, Laura Obrecht presented her thesis on the detection of grassland mowing events using Sentinel-1 InSAR coherence and deep learning approaches. Her work, titled “Detektion von Grünlandmahd mit Sentinel-1 InSAR Coherence und einem Deep...