GRASS is a modern, actively developed, and extensible geospatial processing engine forgeomorphometry. This session draws on post-Hurricane Helene landscape change analysis and ongoing addondevelopment for DEM data fusion, terrain uncertainty modeling, and overland flow simulation to showcasewhat GRASS does well and where it fits in contemporary geomorphometric practice. Beyond its core analyticalcapabilities, GRASS's Python, R, and Jupyter integration make it straightforward to build reproducible, scriptableterrain workflows that move easily from exploration to publication. Join this informal discussion to explore howGRASS serves not only as a research tool but as a community platform where geomorphometric methods canbe developed, shared, and reused through its open addon ecosystem. Google Slides Deck YouTube Recording