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dc.contributor.advisorCzapla-Myers, Jeff
dc.contributor.authorHankerson, Jay
dc.creatorHankerson, Jay
dc.date.accessioned2019-01-08T01:52:18Z
dc.date.available2019-01-08T01:52:18Z
dc.date.issued2018
dc.identifier.urihttp://hdl.handle.net/10150/631328
dc.description.abstractThe Remote Sensing Group (RSG) at the College of Optical Sciences of the University of Arizona implements a reflectance-based approach for vicariously calibrating remote sensors. This includes the automated radiometric data collection of the surface of Railroad Valley, Nevada (RRV) using four stationary Ground-Viewing Radiometers (GVRs). There are features such as cracks, pits, and small mounds on the surface of RRV. The ground instantaneous field-of-view (GIFOV) of a stationary GVR may contain more or less of these features than is indicative of the entire site. This thesis presents a design to increasing the spatial sampling via an automated motion control system that will translate the GVR over RRV a short distance. This will make for more accurate data collection in the automated reflectance-based calibration approach.
dc.language.isoen
dc.publisherThe University of Arizona.
dc.rightsCopyright © is held by the author. Digital access to this material is made possible by the University Libraries, University of Arizona. Further transmission, reproduction, presentation (such as public display or performance) of protected items is prohibited except with permission of the author.
dc.subjectcalibration
dc.subjectground-viewing
dc.subjectmotion control
dc.subjectradiometer
dc.subjectrailroad valley
dc.subjectreflectance
dc.titleAutomated Motion Control of a Ground-Viewing Radiometer System
dc.typetext
dc.typeElectronic Thesis
thesis.degree.grantorUniversity of Arizona
thesis.degree.levelmasters
dc.contributor.committeememberKoshel, John
dc.contributor.committeememberKim, Dae Wook
thesis.degree.disciplineGraduate College
thesis.degree.disciplineOptical Sciences
thesis.degree.nameM.S.
refterms.dateFOA2019-01-08T01:52:18Z


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