COMPARISON OF DIFFERENT HYPERSPECTRAL REMOTE SENSING METHODS FOR CENTRAL TEXAS OUTCROPS

Simple item page
dc.contributor.advisorKhan, Shuhab D.
dc.contributor.committeeMemberBeverly, Emily J.
dc.contributor.committeeMemberKrupnik, Diana
dc.creatorHaider, Halina Ann
dc.creator.orcid0000-0002-0488-2317
dc.date.accessioned2022-08-08T22:18:53Z
dc.date.createdMay 2022
dc.date.issued2021-12
dc.date.updated2022-08-08T22:18:54Z
dc.description.abstractRemote sensing to characterize and classify outcrops has grown exponentially to become a vital tool in studying the surface. Remote sensing technology provides a new outlook on the methods of acquiring and analyzing spatial, spectral, and temporal resolutions. Hyperspectral imaging can identify objects and materials with a high spectral resolution by collecting reflectance values in wavelengths in visible infrared and shortwave infrared portions of the spectrum. In this study, ground-based hyperspectral data for four geological outcrops in the Central Texas are processed and analyzed to compare and determine which method of classification yields the most accurate results. Data from Lion Mountain Sandstone, Llanite, Packsaddle Schist, and Coal Creek Serpentine are analyzed to answer specific questions unique to these central Texas localities. Methods including spectral angle mapper (SAM), support vector machine (SVM) and artificial neural network (ANC) are used for classifying the data. Three to four samples are collected from each outcrop and ground truth is established by spectra collected on samples using an ASD spectroradiometer in the laboratory as well as a geochemical analysis conducted using a portable X-Ray Fluorescence instrument (pXRF). This serves to collect and study ground-truth data to ensure the results from the classifications are upheld. Spectra collected from samples obtained from the four geologic outcrops, identified the weathering effects of Lion Mountain on the electromagnetic spectrum, helped determine the petrogenesis of Packsaddle Schist and origin of blue quartz in Llanite to be caused by Rayleigh scattering.
dc.description.departmentEarth and Atmospheric Sciences, Department of
dc.format.digitalOriginborn digital
dc.format.mimetypeapplication/pdf
dc.identifier.urihttps://hdl.handle.net/10657/10728
dc.language.isoeng
dc.rightsThe author of this work is the copyright owner. UH Libraries and the Texas Digital Library have their permission to store and provide access to this work. Further transmission, reproduction, or presentation of this work is prohibited except with permission of the author(s).
dc.subjectGeology
dc.subjectRemote sensing
dc.subjectCentral texas
dc.subjectTexas geology
dc.subjectHyperspectral data
dc.titleCOMPARISON OF DIFFERENT HYPERSPECTRAL REMOTE SENSING METHODS FOR CENTRAL TEXAS OUTCROPS
dc.type.dcmiText
dc.type.genreThesis
dcterms.accessRightsThe full text of this item is not available at this time because the student has placed this item under an embargo for a period of time. The Libraries are not authorized to provide a copy of this work during the embargo period.
local.embargo.lift2024-05-01
local.embargo.terms2024-05-01
thesis.degree.collegeCollege of Natural Sciences and Mathematics
thesis.degree.departmentEarth and Atmospheric Sciences, Department of
thesis.degree.disciplineGeology
thesis.degree.grantorUniversity of Houston
thesis.degree.levelMasters
thesis.degree.nameMaster of Science

Files

Original bundle

Now showing 1 - 1 of 1
Thumbnail Image
Name:
HAIDER-THESIS-2022.pdf
Size:
2.12 MB
Format:
Adobe Portable Document Format
Download

License bundle

Now showing 1 - 2 of 2
No Thumbnail Available
Name:
PROQUEST_LICENSE.txt
Size:
4.43 KB
Format:
Plain Text
Description:
Download
No Thumbnail Available
Name:
LICENSE.txt
Size:
1.81 KB
Format:
Plain Text
Description:
Download

Collections

Published ETD Collection