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A GIS MODEL TO ESTIMATE SNOW DEPTH USING DIFFERENTIAL GPS AND HIGH-RESOLUTION DIGITAL ELEVATION DATA

HURD, JOHN K, JR.
http://rave.ohiolink.edu/etdc/view?acc_num=ucin1177640172

Abstract Details

2007, MA, University of Cincinnati, Arts and Sciences : Geography.
In April 2005 near Barrow, Alaska, a Differential Global Positioning Systems (DGPS) survey was conducted along a snowdrift formed by a 2.2 km long snow fence. A snow machine pulled a sledge equipped with the DGPS, recording geographic location and elevation along transects parallel to the snow fence. Empirical measurements of snow depth were collected with a calibrated probe along transects perpendicular to the snow fence, and were used for an accuracy assessment. Five GIS models were established each using different interpolation methods to estimate snow depth. The base map was a Digital Surface Model of the snow-free surface derived from Interferometric Synthetic Aperture Radar (IFSAR) data. A natural neighbor interpolation algorithm provided the most accurate snow depth estimates with an RMSE of 21.29 cm. The snow drifts cover an area of 227,150 m 2; the mean snow depth is 1.87 m and occupies a volume of 425,974 m 3.
Dr. Kenneth Hinkel (Advisor)
67 p.
Geography
GIS; Geographic Information System; Model; GPS; Arctic; Cryosphere; Snow; Digital Surface Model; Remote Sensing

Recommended Citations

Citations

  • HURD, JR., J. K. (2007). A GIS MODEL TO ESTIMATE SNOW DEPTH USING DIFFERENTIAL GPS AND HIGH-RESOLUTION DIGITAL ELEVATION DATA [Master's thesis, University of Cincinnati]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1177640172

    APA Style (7th edition)

  • HURD, JR., JOHN. A GIS MODEL TO ESTIMATE SNOW DEPTH USING DIFFERENTIAL GPS AND HIGH-RESOLUTION DIGITAL ELEVATION DATA. 2007. University of Cincinnati, Master's thesis. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=ucin1177640172.

    MLA Style (8th edition)

  • HURD, JR., JOHN. "A GIS MODEL TO ESTIMATE SNOW DEPTH USING DIFFERENTIAL GPS AND HIGH-RESOLUTION DIGITAL ELEVATION DATA." Master's thesis, University of Cincinnati, 2007. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1177640172

    Chicago Manual of Style (17th edition)

ucin1177640172
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© 2007, all rights reserved.
This open access ETD is published by University of Cincinnati and OhioLINK.