Document Type
Thesis
Degree
Master of Science (MS)
Major/Program
Environmental Engineering
First Advisor's Name
Hector R. Fuentes
First Advisor's Committee Title
Committee Chair
Second Advisor's Name
Leonel Lagos
Second Advisor's Committee Title
Committee Member
Third Advisor's Name
Walter Z. Tang
Third Advisor's Committee Title
Committee Member
Fourth Advisor's Name
Maruthi Sridhar Balaji Bhaskar
Fourth Advisor's Committee Title
Committee Member
Fifth Advisor's Name
David Moulton
Fifth Advisor's Committee Title
Committee Member
Keywords
DEM, Lidar, drone, UAV, photogrammetry, machine learning, remote sensing, vegetation indices
Date of Defense
11-10-2022
Abstract
The purpose of this study is to develop a high-resolution DEM of a topographically representative sub-basin west of the WIPP transuranic waste repository. This will support accurate delineation of surface hydrological features and development of hydrological models to assess potential impact of climate, karst surface features and incompatible land use activities on regional groundwater recharge that may result in long-term vulnerability of the karst topography and thus the integrity and performance of the WIPP.
A UAV was used to collect over 5,000 images of a representative basin west of the WIPP. Images were processed using commercial software and methods were investigated and compared to create a high-resolution DEM. Current methods include machine learning methods and traditional methods. From the methods tested, the use of VIs is limited due to the spectral bands in the imagery, but it can provide an idea of the vegetation coverage in the study area, whereas Pix4D and LAStools use elevation and the visible bands, to better distinguish vegetation from the bare ground. Ultimately, the point cloud generated by the USGS is more accurate but the UAV-generated DEMs using machine learning methods show promise.
The study will greatly enhance the opportunities to understand regional water balances, particularly the relationship between subsurface recharge and intense, episodic precipitation events, essential for understanding the propagation rate of the shallow dissolution front, and the impact of climate and land-use changes on water levels in groundwater quality, in the subsurface environment, and in the compliance-monitoring wells around the WIPP.
Identifier
FIDC010970
Recommended Citation
Gutierrez-Zuniga, Gisselle A., "Development of a High-Resolution Digital Elevation Model of a Pilot Study Area in Basin 6, Located Near the Waste Isolation Pilot Plant (WIPP), New Mexico, USA" (2022). FIU Electronic Theses and Dissertations. 5144.
https://digitalcommons.fiu.edu/etd/5144
Rights Statement
In Copyright. URI: http://rightsstatements.org/vocab/InC/1.0/
This Item is protected by copyright and/or related rights. You are free to use this Item in any way that is permitted by the copyright and related rights legislation that applies to your use. For other uses you need to obtain permission from the rights-holder(s).