Publisher
The University of Arizona.Rights
Copyright © 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.Abstract
The 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.Type
textElectronic Thesis
Degree Name
M.S.Degree Level
mastersDegree Program
Graduate CollegeOptical Sciences