Show simple item record

dc.contributor.authorMinin, Mikhail
dc.date.accessioned2016-01-05T14:40:47Z
dc.date.available2016-01-05T14:40:47Z
dc.identifier.urihttp://hdl.handle.net/10464/7893
dc.description.abstractDigital Terrain Models (DTMs) are important in geology and geomorphology, since elevation data contains a lot of information pertaining to geomorphological processes that influence the topography. The first derivative of topography is attitude; the second is curvature. GIS tools were developed for derivation of strike, dip, curvature and curvature orientation from Digital Elevation Models (DEMs). A method for displaying both strike and dip simultaneously as colour-coded visualization (AVA) was implemented. A plug-in for calculating strike and dip via Least Squares Regression was created first using VB.NET. Further research produced a more computationally efficient solution, convolution filtering, which was implemented as Python scripts. These scripts were also used for calculation of curvature and curvature orientation. The application of these tools was demonstrated by performing morphometric studies on datasets from Earth and Mars. The tools show promise, however more work is needed to explore their full potential and possible uses.en_US
dc.language.isoengen_US
dc.publisherBrock Universityen_US
dc.subjectDEMen_US
dc.subjectSurfaceen_US
dc.subjectGISen_US
dc.subjectCurvatureen_US
dc.subjectSlopeen_US
dc.titleQUANTIFICATION AND EXTRACTION OF SURFACE FEATURES FROM DIGITAL TERRAIN MODELSen_US
dc.typeElectronic Thesis or Dissertationen_US
dc.degree.nameM.Sc. Earth Sciencesen_US
dc.degree.levelMastersen_US
dc.contributor.departmentDepartment of Earth Sciencesen_US
dc.degree.disciplineFaculty of Mathematics and Scienceen_US
refterms.dateFOA2021-08-01T01:21:56Z


Files in this item

Thumbnail
Name:
Brock_Minin_Mikhail_2015.pdf
Size:
32.71Mb
Format:
PDF
Description:
Main article

This item appears in the following Collection(s)

Show simple item record