Doctoral Dissertations

Keywords and Phrases

Data Fusion; Hydrology; Lineaments; Magnetometry; Polarimetry; Synthetic Aperture Radar

Abstract

“Developing countries have few resources for ground-based hydrological investigations to determine optimal placement of boreholes for community water access. Remote sensing data are available at a variety of resolutions and sense different parameters, and are useful inputs for hydrologic models, but these data are rarely obtainable in developing countries with the parameters or resolutions necessary for hydrologic applications. This research seeks to use and improve existing remote sensing and GIS techniques to identify areas of optimal water supply in locations with limited geologic or hydrologic information, such as Gulu District, Uganda. Fusing different remotely sensed data sets can produce higher resolution data sets of some necessary parameters. This research focuses on fusing remotely sensed data sets to aid in the investigation of groundwater resources using a multicriteria decision method. This research was conducted in three phases. The first phase was a proof-of-concept study that fused Sentinel-1 synthetic aperture radar (SAR) data with unmanned aerial vehicle (UAV) acquired photogrammetry using Principal Component Analysis (PCA) to improve the accuracy and resolution of digital elevation models (DEMs) and enhance surface lineaments. This fusion technique was then applied in the second phase to Alos Palsar quad-pol SAR and magnetic data acquired in the Gulu District of Uganda. The final phase of research used the lineament map produced in the second phase as one of the datasets for a final groundwater potentiality model. The data for this particular model can be processed and a groundwater potentiality model developed in a short time span to benefit crisis and disaster affected communities in a more immediate manner”--Abstract, page iv.

Advisor(s)

Rogers, J. David

Committee Member(s)

Burken, Joel G. (Joel Gerard)
Smith, Ryan G.
Nguy-Robertson, Anthony
Maurer, Jeremy

Department(s)

Geosciences and Geological and Petroleum Engineering

Degree Name

Ph. D. in Geological Engineering

Comments

This research was supported in part by an appointment to the Department of Defense (DOD) Research Participation Program administered by the Oak Ridge Institute for Science and education (ORISE) through an interagency agreement between the U.S. Department of Energy (DOE) and the DOD. ORISE Is managed by ORAU under DOE contract number DE-SC0014664.

Publisher

Missouri University of Science and Technology

Publication Date

Summer 2021

Journal article titles appearing in thesis/dissertation

  • Data Fusion of Synthetic Aperture Radar (SAR) with Unmanned Aerial Vehicle (UAV) Photogrammetry in the Arbuckle Mountains, Oklahoma using Image Enhancement for Use in Digital Terrain Models (DTMS) and Lineament Analysis
  • Lineament Extraction from Synthetic Aperture Radar (SAR) and Magnetometry Fused Data Products for Groundwater Potentiality Exploration: A Case Study in Gulu District, Uganda
  • Groundwater Potentiality Model of Gulu District, Uganda using GIS and Remote Sensing with the Analytical Hierarchy Process (AHP) Method

Pagination

xii, 136 pages

Note about bibliography

Includes bibliographic references.

Geographic Coverage

Uganda

Rights

© 2021 Rachel Ann Jones, All rights reserved.

Document Type

Dissertation - Open Access

File Type

text

Language

English

Thesis Number

T 11902

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