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  3. Length, Width, and Relative Age Analysis of Lineaments in the Galileo Regional Maps with LineaMapper

Length, Width, and Relative Age Analysis of Lineaments in the Galileo Regional Maps with LineaMapper

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DOI
10.48620/97323
Publisher DOI
10.3847/PSJ/add349
Abstract
The Galileo regional mosaics (“RegMaps”) show Europa’s extensive regional-scale tectonic features under similar illumination conditions. Detailed lineament studies can help constrain resurfacing events and formation mechanisms, but most lineament maps only include a portion of the observed features. We gain statistical insights into lineament distributions of length, width, and relative age in different geological terrains contained within the RegMaps. We find evidence that only the most recently formed linear features remain discernible following the disruption by chaos terrain and hypothesize that younger features are stronger. Because mapping of lineaments is time-consuming and subjective, we employ the deep learning tool LineaMapper to make mapping faster and more consistent. Guided by LineaMapper, we produce a validated lineament map of the RegMaps southern leading hemisphere. The manually revised map is used as additional training data of 2140 lineaments, with which we train LineaMapper v1.1 and v2.0, using two different deep learning models. Based on this map, we find a lineament density (area) of 15% in chaos and 65% in ridged plains, which we use to fully automatically classify units of chaos and ridged plains in the full RegMaps. We find good agreement with a global geologic map. We conclude that LineaMapper can be employed for an objective assessment of Europa’s previously unresolved regions with the Europa Imaging System on Europa Clipper. Finally, we make the full output of LineaMapper available and offer an interactive tool for testing LineaMapper v2.0, which utilizes the Segment Anything model by Meta.
Date Issued
2025-06-01
Publication Type
Article
Subject(s)
500 Science > 520 Astronomy
500 Science > 530 Physics
Language(s)
en
Author(s)
Haslebacher, Caroline  
NCCR PlanetS, PlanetS C5  
Tejero, Javier Gamazo  
Prockter, Louise M.
Leonard, Erin J.
Rhoden, Alyssa R.
Thomas, Nicolas  
Physics Institute, Space Research and Planetary Sciences  
Teaching Staff, Faculty of Science  
Space Research and Planetology Physics - Remote Sensing  
Additional Credits
NCCR PlanetS, PlanetS C5  
Physics Institute, Space Research and Planetary Sciences  
Space Research and Planetology Physics - Remote Sensing  
Teaching Staff, Faculty of Science  
Journal
The Planetary Science Journal
Publisher
IOP Publishing
ISSN
2632-3338
Access(Rights)
open.access
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