A method of typological mapping of landscapes with the use of Landsat satellite images and the digital elevation model SRTM, as well as the method of factorial-dynamic classification of landscapes, was developed and a large-scale landscape map of the Mondy basin was created. At the first stage, the image was automatically classified using the neural network classification method, resulting in a picture divided into 11 classes. The resulting classified image was smoothed to remove the mosaic effect and translated into a vector map. For each unit obtained as a result of the classification of the satellite image, the following parameters were calculated by means of spatial analysis in the GIS: belonging to a particular ridge, category according to the classification of the image, height category, slopes and topographic wetness index. By the combination of these parameters, each unit was assigned to a certain type of landscapes. In the study area on the Tunkinsky goltsy ridge goltsovy steep slope screes with lichen cover landscapes, as well as birch and larch-birch stages of restoration of larch forests are dominated, and on the Khamar-Daban ridge – larch moss and dwarf birch forests, as well as meadows with the community of dwarf birch.