Lineament Analysis for the McMurdo Dry Valleys region, Antarctica
Academic Affiliation: Senior, University of Texas at El Paso, Mathematics
Science Research Mentors: Terry Wilson – Ohio State University; Stephanie Konfal - Ohio State University
Writing and Communication Mentor: Kelly Carroll – Ohio State University
Light Detection and Ranging (LiDAR) data were collected for regions spanning approximately 4,000 km2 in the McMurdo Dry Valleys region of Antarctica. We assess the efficacy of using digital elevation models (DEMs) derived from these data for geomorphic mapping applications in the Dry Valleys. Using the ArcGIS Geographic Information Systems (GIS) software suite, we determine optimal image processing techniques to enhance visibility of geologically and geomorphically significant lineaments including faults, dikes, paleoshorelines, and other rift and glacial features. Optimized filters, shadowing parameters, and the determination of positive and negative relief are applied to regions of interest. Results highlight features that can be used to constrain long-term glacial isostatic adjustment and neotectonic processes related to the West Antarctic Rift System (WARS).