This session aims to bridge the existing gap between the process-focused fields (hydrology, geomorphology, soil sciences, natural hazards, planetary science, geo-biology, archaeology) and the technical domain (engineering, computer vision, machine learning, and statistics) where terrain analysis approaches are developed.
The rapid growth of survey technologies and computing advances and the increase of data acquisition from various sources (platforms and sensors) has led to a vast data swamp with unprecedented spatio-temporal range, density, and resolution (from submeter to global scale data), which requires efficient data processing to extract suitable information. The challenge is now the interpretation of surface morphology for a better understanding of processes at a variety of scales, from micro, to local, to global.

We aim to foster inter-disciplinarity with a focus on new techniques in digital terrain analysis and production from any discipline which touches on geomorphometry, including but not exclusive to geomorphology (e.g., tectonic/volcanic/climatic/glacial), planetary science, archaeology, geo-biology, natural hazards, computer vision, remote sensing, image processing.
We invite submissions related to the successful application of geomorphometric methods, innovative geomorphometric variables as well as their physical, mathematical and geographical meanings. Submissions related to new techniques in high-resolution terrain or global scale data production and analysis, independent of the subject, as well as studies focused on the associated error and uncertainty analyses, are also welcome. We actively encourage contributors to present work “in development”, as well as established techniques being used in a novel way. We strongly encourage young scientists to contribute and help drive innovation in our community, presenting their work to this session.

We want to foster collaboration and the sharing of ideas across subject-boundaries, between technique developers and users, enabling us as a community to fully exploit the wealth of knowledge inherent in our digital landscape. Just remember, the driver for new ideas and applications often comes from another speciality, discipline or subject: Your solution may already be out there waiting for you!