Masters Theses

Abstract

Interferometric Synthetic Aperture Radar (InSAR) is a satellite-based technique that is used to measure various aspects such as ground deformation, earthquakes, volcanic activity, and motions of glaciers. Although the technique has proved very useful, measurements errors such as ionospheric and tropospheric noise, and deformation often cause problems with making precise measurements. InSAR is a tool used in geodesy that is used to measure the change of surface deformation over time through a series of repeated SAR acquisitions. These errors in the acquisitions occur from factors of signal decorrelation, atmospheric delays, and phase unwrapping errors that affect the accuracy and precision of the timeseries. By looking at one frame taken from Sentinel-1 data covering St. Louis over a course of four years. Using FRiNGE and ISCE the goal is to estimate the amount of tropospheric noise errors that is present in the area by looking at the velocity and timeseries generated from processing. In addition, a comparison between FRInGE and Dolphin was made to determine which produced better results by comparing the resulting timeseries and velocity over ten acquisitions.

Advisor(s)

Maurer, Jeremy

Committee Member(s)

Liu, Kelly H.
Gao, Stephen S.

Department(s)

Geosciences and Geological and Petroleum Engineering

Degree Name

M.S. in Geology and Geophysics

Publisher

Missouri University of Science and Technology

Publication Date

Fall 2025

Pagination

x, 37 pages

Note about bibliography

Includes_bibliographical_references_(pages 34-36)

Rights

© 2026 Maryann Lee , All Rights Reserved

Document Type

Thesis - Open Access

File Type

text

Language

English

Thesis Number

T 12570

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