UPDATE on the 1:1M GEOMORPHOLOGIC MAPS of ARSIA MONS and PAVONIS MON, MARS W. Brent Garry1, David A. Williams2, 1NASA Goddard Sp

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UPDATE on the 1:1M GEOMORPHOLOGIC MAPS of ARSIA MONS and PAVONIS MON, MARS W. Brent Garry1, David A. Williams2, 1NASA Goddard Sp

Planetary Geologic Mappers 2020 (LPI Contrib. No. 2357) 7050.pdf UPDATE ON THE 1:1M GEOMORPHOLOGIC MAPS OF ARSIA MONS AND PAVONIS MON, MARS W. Brent Garry1, David A. Williams2, 1NASA Goddard Space Flight Center, Greenbelt, MD 20771, [email protected], 2School of Earth and Space Exploration, Arizona State University, Tempe, AZ 85287. ABSTRACT The 1:1,000,000 geomorphologic maps of Arsia and Pavonis Montes are part of a series of USGS Special Investigation Maps that cover the Tharsis Montes and Olympus Mons. The Arsia Mons map is currently in revision and the Pavonis Mons map is simultaneously being prepared for submission. These maps are not traditional geologic maps. Instead, we are mapping the spatial distribution of geomorphic units, primarily volcanic in origin, to provide insight into the evolution of two of the largest volcanic structures on Mars. Therefore, geocontact lines define boundaries between individual flows or landforms. Even if the adjacent units are the same type of landform or flow feature, they are not lumped into a single unit. Our goal is to show the complexity of the various types of eruptions and landforms observed on these large volcanic edifices. We are now using the MRO Context Camera mosaics available from The Murray Lab at CalTech, manually georeferenced to the global THEMIS Daytime IR 100 m/px mosaic as our basemap in ArcMap 10.7. One of the main updates to the Arsia map are addition of structural terraces on the flanks of the main shield. We have also, in response to peer review comments, revised our map units to reduce the number of total units on the map. In addition, new point and linear symbols have been added to distinguish between certain characteristics of similar geomorphologic units. Acknowledgments: This project is funded by grant #NNX10AO15G from NASA’s Mars Data Analysis Program awarded to D.A. Williams (ASU). .

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