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Open Access Knowledge and Scholarship

Date of Award

5-2012

Culminating Project Type

Thesis

Degree Name

Geography - Geographic Information Science: M.S.

Department

Geography and Planning

College

School of Public Affairs

First Advisor

Ben Richason III

Second Advisor

Mikhail Blinnikov

Third Advisor

Katherine Pound

Creative Commons License

Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.

Keywords and Subject Headings

Gis, Lidar, Glacial Lakes, Relic Shorelines, Glacial Lake Aitkin

Abstract

This thesis focuses on the comparison of LiDAR (Light Detection and Ranging)-derived DEMs to 30 meter DEMs from the National Elevation Dataset as an aid to the determination of the position of strandlines for Lake Aitkin located in Central Minnesota. The thesis uses a variety of comparison techniques including comparisons with existing surficial sediments, Jenks classification, histogram analysis, and slope surface analysis. In some aspects, such as the sediment analysis and slope surface analysis, the LiDAR-derived DEMs do not provide an improvement to the identification of a strandline for Lake Aitkin. However, using the other two comparison methods the LiDAR-derived datasets do provide an improvement in the interpretability of a strandline in the basin. The LiDAR-derived DEM provides a 9.82% reduction in the overall area of the strandline zone and a 15% decrease from the 30 meter DEM under Jenks classification. Using information from the histogram analysis and Jenks classification, this study is able to determine a possible vertical range for the strandline at 371.72 m- 372.72 m.

Comments/Acknowledgements

Page 29 is missing.

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