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Geovisualization / Rock Weathering / 3D Laser Scanning

Brandon J. Vogt - School of Geographical Sciences - Arizona State University


This page contains snapshots of my dissertation work.  Here you can read my dissertation abstract and view various images of rock art panel surfaces created from vast 3D point clouds.  All data were collected using a Leica-Geosystems terrestrial 3D laser scanner.  Generally, the images linked from this page represent samples from the GIS pre-processing phase of my research.


Abstract  |  Annotated Images  |  GIS Workflow Screenshots

 
Above - Vandalized rock art panel in southeast Colorado.  Data collected using a Leica-Geosystems 3D laser scanner.  Bullet impact craters and rock fissures (weathering feature) are easily discernable using different color combinations.  Panel dimensions approximately 3 x 3 meters.

 


Dissertation Abstract

Geovisualization, rock weathering, and 3D laser scanning in the context of rock art preservation

Rock art, including petroglyphs and pictographs, is an invaluable remnant of past cultures.  Because it is, by definition, on rock, this cultural resource will ultimately disappear as its host rock weathers.  The identification, density, and condition of weathering features such as fissures, textural variations, weathering rind erosion, and tafoni – all major indicators of rock instability – play a key role in decisions regarding which rock art panels are in greatest risk.  A critical step towards rock art preservation is to develop an objective system for the classification and ranking of rock art panel’s likelihood for decay, disintegration, or collapse.

For the study described in this document, exposed rock panels in Colorado and California were scanned with a terrestrial light distancing and ranging (lidar) scanner.  Laser scanning facilitates isolating rock panels’ surface characteristics by structure, texture, laser intensity, and color.  Various interactive techniques, such as dynamic linking, brushing, probing, and conditioning serve to guide in the precise identification and mapping of weathering forms, which indicate surface instability.  My approach blends computational, cartographic, as well as visual methods, and utilizes geographic information science (GIS) and remote sensing software familiar to most physical geographers. 

The techniques for surface instability mapping and ranking in my research are non-invasive, quantitative, and transferable to any lithology.  Results indicate that rock art panel preservation decisions can be made with heightened confidence knowing that the instability ranking process is based on a rock weathering expert’s interaction with precise, high-resolution, geospatial data, collected from rock art panels.

Contributions of my work extend beyond rock art preservation: This research lays the groundwork for novel approaches to stone monument preservation, concrete condition surveying, and rockslope hazard mapping.  Contributions of the work to GIScience include one significant demonstration of a novel technique integrating various geographic information technologies and multivariate data exploration with geomorphological research.  Contributions of the work to geomorphology include an opportunity to elucidate the spatial relationship between weathering forms and independent variables such as slope, aspect, and insolation regimes.

Brandon Vogt - March 2007


 
Annotated Images

Below - A comparison of the set of images demonstrates how the removal of extraneous variables from our vision, such as certain colors or shadows from the sun; and sharpening contrast within a color range, can more clearly discriminate features indicative of rock instability, such as cracks (fissures), voids, overhangs, lithobionts, and changes in surface texture.

site_w_3_ci.jpg (266902 bytes) site_star_warz.jpg (253507 bytes) site_green_rox.jpg (234072 bytes) site_griz_atck.jpg (214590 bytes)

color composite

adjusted color
composite

green ramp

laser intensity,
shadows removed

 

Below - Single color ranges can help discern rock art motifs.  The two images below illustrate how pictographs and petroglyphs are easily revealed by color filtering.

pic_21_coo.jpg (226380 bytes) site_w_1_yyz.jpg (306488 bytes)
pictorgraph,
green ramp
petroglyphs,
green ramp

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