Modern geological mapping relies on both field and remotely sensed data, which are stored in digital format. Depending on the research project, the mapping can be aimed at general geology, palaeontology, raw materials, structural geology. The full range of the mapping process is covered, from data acquisition planning, through preliminary working map editing, to data analysis and interpretation.

We mainly develop data structures and data capture procedures for scientific projects. We support geoscientific mapping through automated machine learning-based classification of georeferenced raw data. We work on off-road route planning using high computational demand raster data models.

The signs on the map do not mean the same thing to all map readers, and not everyone understands the signs. This can be optimised by understanding the demographic backgrounds of people with different map reading abilities. The goal is to ensure that the information the map designer intended is delivered to the map reader. The research is conducted with user tests and dynamically changing map symbols at ELTE's Research Group on Experimental Cartography (ktk.elte.hu).

Using remote sensing data, our analysis focuses on mapping surface movements and tectonic activity in specific areas. Lidar as a high-resolution proximal sensing method is emphasized in these studies, as it can be used in both surface and subsurface (cave) environments.

Geoconservation is about ensuring that inanimate natural assets (e.g. rock formations, rare fossil sites, etc.) are preserved, just like living natural assets and cultural heritage. One of the means of achieving this is to promote geological knowledge and to publish it in an accessible, map-based form.