Keywords and Phrases
Hazard Mapping; Landslide Susceptibility; LiDAR; Low Magnitude Epicenter; Surface Deformation; UAS
”Light Detection and Ranging (LiDAR) and satellite imagery have become the most utilized remote sensing technologies for compiling inventories of surficial geologic conditions. Point cloud data obtained from multi-spectral remote sensing methods provide a detailed characterization of the surface features, in particular, the detailed surface manifestations of underlying geologic structures. When combined, point clouds eliminate bias from visual inconsistencies and/or statistical values. This research explores the competence of point clouds derived from LiDAR and Unmanned Aerial Systems (UAS) as a predictive tool in evaluating various geohazards. It combines these data sets with other remote sensing techniques to evaluate the sensitivity of the respective datasets to temporal changes in the earth’s surface (potentially detectable at a centimeter-scale). A two-phase research approach was employed to test several hazard mapping scenarios in three geographic areas in the U.S. Midcontinent as follows: 1) UAS-derived surficial deformations near the epicenter of the 2016 Mw 5.8 Pawnee, Oklahoma earthquake (Paper I); 2) UAS mapping of recent earthquake epicenters in Noble Payne and Pawnee counties of Oklahoma State (Paper II); and, 3) Evaluation of geohazards in Greater Cape Girardeau Southeast Missouri (Paper III). These analyses detected geomorphic changes in the study locations, such as ground subsidence, soil heave and expansion, liquefaction-induced structures, dynamically-induced consolidation, and surface fault rupture. The studies underscore the importance of early hazard identification and providing information to relevant data users to make informed decisions”--Abstract, page iv.
Rogers, J. David
Abdel Salam, Mohamed G.
Emmitt C. Witt, III
Smith, Ryan G.
Geosciences and Geological and Petroleum Engineering
Ph. D. in Geology and Geophysics
Missouri University of Science and Technology
Journal article titles appearing in thesis/dissertation
- UAS-derived surficial deformation around the epicenter of the 2016 MW 5.8 Pawnee, Oklahoma earthquake
- UAS mapping of low magnitude epicenters in Oklahoma state: Case studies: Noble, Payne, and Pawnee counties
- Evaluation of geohazards in the Cape Girardeau area using LiDAR and GIS, Southeast Missouri, USA
xiv, 106 pages
© 2020 Olufeyisayo Bisayo Ilesanmi, All rights reserved.
Dissertation - Open Access
Electronic OCLC #
Ilesanmi, Olufeyisayo B., "Predictive geohazard mapping using LiDAR and satellite imagery in Missouri and Oklahoma, USA" (2020). Doctoral Dissertations. 2952.