Remote sensing methods proven to be useful for monitoring earth surface changes and identifying new patterns. In this study, our focus is to identify features such as moffetes based on their morphological characteristics (small cone or crater shapes) and patterns of degassing around them and along the rift zone. Here, we investigated Hartousov, Bublak and Milhostov areas which are known for their seismic and degassing activities. We conducted close-range aerial mapping surveys using UAVs (Unmanned Aerial Vehicle) with cameras and LiDAR sensors on board. In order to map and detect degassing areas, we process the camera data using SfM (Structure from Motion) to generate very high resolution orthomosaics. Using this data we are able to develop an inventory of the visible, spectral and topographic expressions of the degassing sites in the Eger Rift. In this presentation we will summarize the techniques used and provide an overview into the different types of mofettes, some building up topographic highs and others developing crater-like structures. Results underline that a combination of multispectral and LiDAR-based data analysis can help us not only study the known areas but also detection of new areas of degassing and moffetes. We believe such systematic studies can be widely applied and help identifying mofettes and degassing sites elsewhere.