As the European Forest Disturbance Atlas suggested a bark beetle outbreak in the Bavarian Forest, I aimed to classify changes in the land cover between 2020-2023 in that area. For this, I created three summer composite images and trained the Random Forest algorithm on the identified stable and transition classes. After validation, I found that stable coniferous forests, continuously infested forests and forests changing from healthy to infested were less likely to be misclassified than other classes. The classification showed that 8% of the study area had become newly attacked by bark beetles between 2020 and 2023.

The active fire progression in Ljusdal, Sweden was derived from Sentinel-3a images using SNAP. Even though the satellite image has relatively low resolution, it can be used to quickly get an indication about direction and extent of fire progression.