Document Type
Thesis - Open Access
Award Date
2023
Degree Name
Master of Science (MS)
Department / School
Electrical Engineering and Computer Science
First Advisor
Larry Leigh
Keywords
Aqua and Terra MODIS, EPICS Global, EPICS North Africa, Landsat 7 8 and 9, Sentinel 2A/2B, T2T cross-calibration
Abstract
The expanded Trend-to-Trend (T2T) cross-calibration technique has the potential to calibrate two sensors in much less time and provides trends on daily assessment basis. The trend obtained from the expanded technique aids in evaluating the differences between satellite sensors. Therefore, this technique was validated with several trusted cross-calibration techniques to evaluate its accuracy. Initially, the expanded T2T technique was validated with three independent RadcaTS RRV, DIMITRI-PICS, and APICS models, and results show a 1% average difference with other models over all bands. Further, this technique was validated with other SDSU techniques to calibrate the newly launched satellite Landsat 9 with 8, demonstrating good agreement in all bands within 0.5%. This technique was also validated for Terra MODIS and ETM+, showing consistency within 1% for all bands compared to four PICS sites. Additionally, the T2T technique was applied to a global scale using EPICS Global sites. The expanded T2T cross-calibration gain result obtained for Landsat 8 versus Landsat 7/9, Sentinel 2A/2B, and Terra/Aqua MODIS presented that the difference between these pairs was within 0.5- 1% for most of the spectral bands. Total uncertainty obtained for these pairs of sensors using Monte Carlo Simulation varies from 2.5-4% for all bands except for SWIR2 bands, which vary up to 5%. The difference between EPICS Global and EPICS North Africa was calculated using the ratio of trend gain; the difference among them was within 0.5-1% difference on average for all the sensors and bands within a 0.5% uncertainty level difference.
Library of Congress Subject Headings
Landsat satellites -- Calibration.
Earth resources technology satellites -- Calibration.
Imaging systems -- Image quality.
Publisher
South Dakota State University
Recommended Citation
Shah, Ramita, "Validation of Expanded Trend-To-Trend Cross-Calibration Technique and its Application to Global Scale" (2023). Electronic Theses and Dissertations. 605.
https://openprairie.sdstate.edu/etd2/605
Rights Statement
