Geomorphological mapping is one of the most important tools used to understand landscape character and evolution on Earth and other planetary bodies. In the digital era, cartographic products have become increasingly accessible to scientists and the wider society due to the development of GIS technology, increases in data and software availability (i.e. open source), and the expansion of user-friendly and easy-to-access interfaces. Geomorphological maps are crucial in a range of pure scientific and applied disciplines. Applications include reconstructing past depositional processes and environments on Earth and other planetary bodies, landscape evolution modelling, geohazard assessment, planning of engineering activities, and characterising landing sites for planetary lander and rover missions. Recent technological advances in data collection have enhanced mapping quality to new levels of detail and accuracy. Significant developments include the accessibility of high-resolution datasets (for Earth, Mars and the Moon), new data collection methods (e.g. LiDAR data, high-resolution satellite imagery, drones/uncrewed aerial vehicles, geophysical imaging), innovative processing methods (e.g. Structure-from-Motion photogrammetry), and increasing volumes of data available for planets, moons, asteroids, comets, and dwarf planets throughout the Solar System. On Earth, these are often combined with more traditional field-based mapping approaches. As a result of recent advances, we are now able to identify landforms that were not previously detectable and to interpret processes which were previously unknown or unrecognised. Moreover, new semi-automatic and automatic mapping approaches can support rapid delimitation and extraction of selected landforms or even whole landform assemblages.

This session aims to showcase recent advances in landform mapping, and we invite contributions related to mapping of specific landforms as well as whole landsystems in different environments and on other planetary bodies. We particularly welcome studies that (a) demonstrate the potential of multi-method and innovative mapping approaches, (b) showcase novel methods of data collection to solve previously overlooked problems, or (c) present mapping of previously unmapped or newly-emerging landscapes.

**We kindly ask authors to please use the gender-neutral definition ‘uncrewed aerial vehicles’ (rather than unmanned aerial vehicles) for UAVs in their abstracts**