2026 CSDMS meeting-038
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Exploring Arctic Landscape Data with PyCoGSS: Tutorials and Research Workflows for Everyone
Joanmarie Del Vecchio,
(She/her),William & Mary Williamsburg Virginia, United States. jdelvecchio01@wm.edu
The Python Computational Geomorphology Software System (PyCoGSS) is a software environment that flattens the learning curve associated with locating and analyzing Arctic landscape and environmental data. In Arctic regions, remote sensing and characterization is the rule rather than the exception, and datasets with sufficient temporal and spatial resolution to understand landscape mechanics are newly available but daunting to digest and synthesize. Computational tools and large datasets thus have the potential to generate transformative research and increase participation of historically underrepresented groups in geomorphology and geology. We created novice-friendly software, tutorials to implement that software, and curricular material to train the next generation of geoscientists to perform scalable and reproducible landscape analyses. Undergraduate students play a pivotal role in “stress testing” software to make sure that the code is easy to understand and use, and in the process collect data, and conduct independent research to address scientific and software challenges. Student research focuses on algorithmic approaches to pan-Arctic detection and mapping of permafrost landforms and disturbance. Workshops and tutorials are aimed at geoscience educators and coding novices with instructions on how to bring coding into undergraduate classrooms, enhancing algorithmic thinking and code literacy.
