Document Type
Thesis - University Access Only
Award Date
2009
Degree Name
Master of Science (MS)
Department / School
Electrical Engineering and Computer Science
Abstract
The primary objective of this project was to develop an algorithm capable of identifying the best regions on the Earth's surface for lifetime trending of satellite sensor radiometric behavior, as well as identifying the best regions for satellite sensor cross calibration. These regions, commonly referred to as pseudo-invariant calibration sites (PICS), typically are located in arid regions where no significant temporal and spatial changes occur over long periods of time. Over the past several years, the use of PICS for trending the absolute radiometric gain of multispectral satellite imaging systems has proven to be very useful and accurate. For example, the lifetime absolute calibration of the Landsat 5 Thematic Mapper (TM) was recently updated based in large part upon this approach. This effort reduced the error in the gain estimate from roughly 13 percent to less than 5 percent and integrated a variety of absolute calibration estimates for the sensor. This paper illustrates a statistically based approach that uses radiometrically and geometrically corrected Landsat 5 TM data to locate the most suitable lifetime trending locations for Earth viewing satellite sensors. This algorithm uniquely identifies optimized PICS regions by latitude/longitude coordinates and estimates the amount of uncertainty that can be expected when using that specific site. Furthermore, this paper shows the validation of the Landsat-5 TM characteristic curve at an Australian desert PICS and a North American desert PICS.
Library of Congress Subject Headings
Landsat satellites -- Calibration
Imaging systems -- Image quality
Format
application/pdf
Number of Pages
158
Publisher
South Dakota State University
Recommended Citation
Morstad, Daniel, "Automated Pseudo-Invariant Calibration Site Selection Using Temporal Statistics" (2009). Electronic Theses and Dissertations. 1599.
https://openprairie.sdstate.edu/etd2/1599
