1. Optical Stratigraphy of a Wasatch fault trench wall and a Maritian surface using watershed-based segmentation Chaiwoot Boonyasiriwat Julie Willis Jerry Schuster Chris Duross

2.  Motivation for digital trench wall logging  Algorithm for separating rocks from fill  Statistics  Mars

3. Pre-earthquake Earthquake 900 years later Development of a colluvial wedge  Motivation for digital trench wall logging

4. Mapleton, Utah “mega-trench”

5. 1 meter Develop a rock segmentation algorithm to separate clasts from matrix. Determine whether colluvial wedges, debris flows and channel deposits can be statistically differentiated. Mapleton Trench Level 1 1 m 1 meter Colluvial Wedge Debris Flow Channel Deposit

6. 10 cm

18. Channel Deposit 2

19. 1 meter Algorithm successfully separates rocks from fill – 80% accuracy. Can colluvial wedges, debris flows and channel deposits be statistically differentiated? Compare: Orientation, Eccentricity, Percent Rock Mapleton Trench Level 1 1 m Colluvial Wedge Debris Flow Channel Deposit

20. Colluvial Wedge 1 Orientation? Eccentricity? Percent Rock?

21. Colluvial Wedge 3 Orientation? Eccentricity? Percent Rock?

22. Debris Flow 1 Orientation? Eccentricity? Percent Rock?

23. Channel Deposit 1 Orientation? Eccentricity? Percent Rock?

24. Eccentricity 2.8% < 0.2 12.5% < 0.2 2.5% < 0.2 Percent Rock Channel Deposits: 32 % Colluvial Wedge: 48 % Debris Flow: 42 %

25. Clast Orientation

26. 1 meter Can colluvial wedges, debris flows and channel deposits be statistically differentiated? Orientation – Colluvial Wedge Eccentricity, Percent Rock – Channel Deposits Mapleton Trench Level 1 1 m Colluvial Wedge Debris Flow Channel Deposit

27. 1 meter Future work: Use the segmentation algorithm to objectively log trench walls and build data for more rigorous statistics Mars and beyond... Mapleton Trench Level 1 1 m Colluvial Wedge Debris Flow Channel Deposit ? ? ? ?

28. Martian Surface

29. Clast Orientation Mars Statistics Eccentricity