Speaker
Description
Recent advances in satellite observations and computational capabilities increasingly require researchers across disciplines to adopt modern, data-driven approaches that enable the quantitative analysis of large datasets. This applies to the disciplines of terrestrial and planetary volcanology, as morphologically similar conical landforms are abundant both on Earth and other planetary bodies. However, quantitative morphometric analyses remain constrained by labor-intensive manual mapping and the subjective delineation of key morphological features, limiting the scalability and reproducibility of morphometric investigations. To address these challenges, a framework is needed to facilitate the transition from manual mapping to scalable, data-driven analysis.
Originally developed for automated morphometric analysis of Martian pitted cones, the MarsCONE workflow has been extended in the current version 2.0 to also support terrestrial volcanic landforms, enabling morphometric analyses across planetary bodies and facilitating new insights into planetary-surface morphology and geological interpretation. By integrating the original computational architecture into a PySide6-based graphical user interface (GUI) and introducing dedicated modules for analyzing overlapping cones with multiple summit craters, visualizing morphometric outputs, performing integrated statistical analyses, and comparing multiple datasets, MarsCONE 2.0 lowers technical barriers to morphometric investigations. The extended version also incorporates diagnostic tools for inspecting automatically detected points and supports manual quality-control corrections, enabling users to review and, where necessary, refine automated detections while maintaining full analysis traceability. Overall, our MarsCONE 2.0 framework provides an accessible platform for standardized and automated morphometric analysis of volcanic cones across planets, offering integrated tools for analysis, visualization, and comparison.