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Geologic Process Identification through Landform Analysis Ian Thomsen

Thompson geologic process id through landform analysis

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Page 1: Thompson geologic process id through landform analysis

Geologic Process Identification through Landform Analysis

Ian Thomsen

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Topographic Position Index

From Jenness 2006

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Inherently Scalable Adjusts to capture features of different scales

• Quickly

• Easily

• Repeatable

Jenness, 2006

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• Comparing elevation of each cell to the mean of all cells in an annulus of radius 100 cells (3000 meters) around it.

• Only interested in large, regional-scale features

Raster Calculator

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Slope Tool

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TPI < -6 = Canyon bottom

-4 < TPI < 3 , Slope < 12° = Gentle Slope

-4 < TPI < 3 ; Slope > 12° = Steep Slope

3 < TPI < 6 = Steep Slope

6 < TPI = Ridge top

Raster Calculator

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Focal Statistics Operations

Areas of statistical operation can be customized to the scale of interest

For example: • 4500m square window

discards signal from smaller features

• 19500m window only captures largest features

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Identify all points which are classed as Steep Slope or Ridge Top at 4500x4500m scale but only class as Shallow Slope at 19500x19500m scale • Filters out all features too large to be fault generated • Removes smaller topographic relief

Raster Calculator

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Pamir

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Results

• Method successfully marks landforms which match characteristics of fault scarp structures

• Successfully removes other topography from consideration

But…

• Issues of scale

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Results

• Defines SOME topographic relief as fault related, but not all

• MORE problems of scale

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Results Obvious problems:

• Where are the faults?! They SHOULD be around here!

Two possibilities:

• There is no fault here

Or

• The scale of features of interest is lost in more recent features

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Problems identifying fault features with TPI

Extremely scale dependent

Scale must be uniform

Difficult to detect topography of interest within other geologic/erosional features

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Implications of work

Check the accuracy of map data

Identify sites where fault-generated features are more and less likely to be found

Can be applied to any geological features whose scale can be isolated from “background” topography

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Future work

Develop statistical methods to quickly combine

TPI

Lithologic changes

Seismic activity

Test method accuracy in the field

Refine algorithm

Apply TPI analysis to other geologic mapping projects