University of Mississippi eGrove Electronic Theses and Dissertations Graduate School 2016 Predictive Modeling Of Sinkhole Hazards Using Synthetic Aperture Radar Interferometry (Insar) Subsidence Measurements And Local Geology William G. Powell University of Mississippi Follow this and additional works at: https://egrove.olemiss.edu/etd Part of the Remote Sensing Commons Recommended Citation Powell, William G., "Predictive Modeling Of Sinkhole Hazards Using Synthetic Aperture Radar Interferometry (Insar) Subsidence Measurements And Local Geology" (2016). Electronic Theses and Dissertations. 536. https://egrove.olemiss.edu/etd/536 This Thesis is brought to you for free and open access by the Graduate School at eGrove. It has been accepted for inclusion in Electronic Theses and Dissertations by an authorized administrator of eGrove. For more information, please contact
[email protected]. PREDICTIVE MODELING OF SINKHOLE HAZARDS USING SYNTHETIC APERTURE RADAR INTERFEROMETRY (INSAR) SUBSIDENCE MEASUREMENTS AND LOCAL GEOLOGY A Thesis presented in partial fulfillment of requirements for the degree of Master of Science in the Department of Geology and Geological Engineering The University of Mississippi by W. GABE POWELL May 2016 i © William G. Powell 2016 ALL RIGHTS RESERVED i ABSTRACT The mining of salt domes provides economically important resources through salt and brine production and storage of petroleum products as part of the U.S. Strategic Petroleum Reserve. In order to assess the risk to nearby communities for potential of salt dome collapse, it is important to understand the growth of the Bayou Corne sinkhole and the conditions surrounding the Napoleonville Salt Dome that may have exacerbated its formation. The Bayou Corne sinkhole in Assumption Parish, Louisiana has been expanding since it formed overnight on 2 August 2012.