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Back-Projecting Secondary Martian Craters Using a Cone of Uncertainty

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Presentation on theme: "Back-Projecting Secondary Martian Craters Using a Cone of Uncertainty"— Presentation transcript:

1 Back-Projecting Secondary Martian Craters Using a Cone of Uncertainty
GEOG 596A Proposal, Spring Tim Naegeli

2 Agenda Background Objectives Study Areas Data & Software Workflow
Anticipated Results

3 Background In absence of samples, cratering is the only way to determine the age of a surface

4 Background Laura, J., Skinner Jr, J.A., and Hunter, M.A. (2017) Large Crater Clustering Tool. Computers and Geosciences (submission).

5 Characteristics of Secondary Craters
Background Characteristics of Secondary Craters Pattern Size Depth Shape

6 Background

7 Background

8 Background

9 Objectives The purpose of this project is to determine an effective method to back-project secondary craters on Mars to determine the primary crater that created them.

10 Study Areas

11 Study Areas Zunil 10.1 kilometer diameter Primary crater
Secondaries occurring in obvious rays “Control” for the project

12 Study Areas Lyot 222 kilometer diameter Primary crater
Older area than Zunil, no obvious rays Robbins and Hynek (2011) identified secondaries up to 5,200 kilometers away from Lyot

13 Study Areas Bonneville 210 meter diameter Visited by Spirit in 2004
Like a secondary due to size and depth Unknown primary source

14 Software & Data ArcMap THEMIS CTX HiRISE Mars Odyssey
100m IR, 18m VIS spatial resolution 2002 – Today Planet wide coverage CTX Mars Reconnaissance Orbiter 8 m spatial resolution 2006 – Today “Regional” coverage HiRISE 25 cm spatial resolution “Local” coverage

15 Workflow

16 Workflow

17 Workflow Crater characteristics are captured… …then categorized
Diameter Ellipticity (1 – Dminor/Dmajor)

18 Workflow

19 Workflow See how many line back-projections intersected with Zunil
By diameter and ellipticity See how many cone back-projections intersected with Zunil Compare line and cone results At what cone size do the amount of intersections significantly improve (for each diameter and ellipticity) Record “final” back-projection parameters

20 Workflow Part 2 – Lyot Part 3 – Bonneville
Process is essentially the same as Zunil, except start with the information learned at Zunil Only go through combinations again if no progress shown Part 3 – Bonneville Digitize Bonneville Create 3,000 km buffer Digitize all craters with 20x Bonneville’s diameter Find intersection(s) Identify most likely source

21 Anticipated Results Cone of uncertainty offers significant improvement over line Each crater system and type will present new challenges, but generally there should be a way to identify the cone More work needed Other systems Potential multiple sources?

22 Thank you!


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