MarsCONE 2.0: A toolbox for automatic detection of Martian and terrestrial pitted cones morphology
Abstract
MarsCONE 2.0: Desktop GUI for End-to-End Volcanic Cone Morphometry This release provides MarsCONE 2.0, a PySide6 desktop application that orchestrates the full morphometric workflow for volcanic cone analysis from DEM-based inputs. The GUI integrates pipeline execution, quality control, manual correction, complex-cone aggregation, and cross-dataset comparison in a single interface. MarsCONE 2.0 is implemented as a thin desktop layer over the existing core modules. Instead of executing core code in place, the application creates an isolated runtime session, generates fresh module configurations, and executes copied modules in that temporary workspace. This design improves run reproducibility and reduces the risk of accidental edits to development sources. Main Features End-to-end execution of generator, finder, and analyzer modules (individually or as a full pipeline). Interactive QA tools for cross-sections and DEM overlays. Manual correction workflow for finder key points, with downstream analyzer reprocessing support. Complex-cone workflow for grouped systems, including topology summaries and merged DEM outputs. Exploratory visualization tools for single-dataset trends and distributions. Multi-dataset comparison module (scatter, heatmap, embedding, similarity/statistics exports). Reproducibility and Runtime Model Module runs are executed in isolated runtime session folders. Runtime configuration files are generated from the current GUI state. Logs are streamed and preserved through the application interface. Output conventions are standardized across pipeline and QA products. Installation and Environment Use Python environment that runs the core MarsCONE modules, including the scientific/geospatial stack and PySide6. A video tutorial is available: https://youtu.be/1dHleOnAUo8 Workflow tutorial A video tutorial is available: https://youtu.be/yoiDoCZxY9g The latest release, v2.0.1, includes corrections to the readme and provides more detailed information on QA in the Analyzer module.
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 30 July 2026
- Language
- EN