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Parameters affecting interferometric coherence and implications for long-term operational monitoring of mining-induced surface deformation

Includes abstract.

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Bibliographic Details
Main Author: Engelbrecht, Jeanine
Other Authors: Inggs, Michael R
Format: Thesis
Language:English
Published: Department of Electrical Engineering 2014
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access_status_str Open Access
author Engelbrecht, Jeanine
author2 Inggs, Michael R
author_browse Engelbrecht, Jeanine
Inggs, Michael R
author_facet Inggs, Michael R
Engelbrecht, Jeanine
author_sort Engelbrecht, Jeanine
collection Thesis
description Includes abstract.
format Thesis
id oai:open.uct.ac.za:11427/5226
institution University of Cape Town (South Africa)
language eng
last_indexed 2026-06-10T12:36:45.581Z
license_str Not specified — see source repository
provenance_str_mv Harvested via OAI-PMH from UCTD — University of Cape Town Open Access Repository
publishDate 2014
publishDateRange 2014
publishDateSort 2014
publisher Department of Electrical Engineering
publisherStr Department of Electrical Engineering
record_format dspace
source_str UCTD — University of Cape Town Open Access Repository
spelling oai:open.uct.ac.za:11427/5226 Parameters affecting interferometric coherence and implications for long-term operational monitoring of mining-induced surface deformation Engelbrecht, Jeanine Inggs, Michael R Electrical Engineering Includes abstract. Includes bibliographical references. Surface deformation due to underground mining poses risks to health and safety as well as infrastructure and the environment. Consequently, the need for long-term operational monitoring systems exists. Traditional field-based measurements are point-based meaning that the full extent of deforming areas is poorly understood. Field-based techniques are also labour intensive if large areas are to be monitored on a regular basis. To overcome these limitations, this investigation considered traditional and advanced differential radar interferometry techniques for their ability to monitor large areas over time, remotely. An area known to be experiencing mining induced surface deformation was used as test case. The agricultural nature of the area implied that signal decorrelation effects were expected. Consequently, four sources of data, captured at three wavelengths by earth-orbiting satellites were obtained. This provided the opportunity to investigate different phase decorrelation effects on data from standard imaging platforms using real-world deformation phenomenon as test-case. The data were processed using standard dInSAR and polInSAR techniques. The deformation measurement results together with an analysis of parameters most detrimental to long-term monitoring were presented. The results revealed that, contrary to the hypothesis, polInSAR techniques did not provide an enhanced ability to monitor surface deformation compared to dInSAR techniques. Although significant improvements in coherence values were obtained, the spatial heterogeneity of phase measurements could not be improved. Consequently, polInSAR could not overcome ecorrelation associated with vegetation cover and evolving land surfaces. However, polarimetric information could be used to assess the scattering behaviour of the surface, thereby guiding the definition of optimal sensor configuration for long-term monitoring. Despite temporal and geometric decorrelation, the results presented demonstrated that mining-induced deformation could be measured and monitored using dInSAR techniques. Large areas could be monitored remotely and the areal extent of deforming areas could be assessed, effectively overcoming the limitations of field-based techniques. Consequently, guidelines for the optimal sensor configuration and image acquisition strategy for long-term operational monitoring of mining-induced surface deformation were provided. 2014-07-31T10:57:59Z 2014-07-31T10:57:59Z 2013 Doctoral Thesis Doctoral Ph D http://hdl.handle.net/11427/5226 eng application/pdf Department of Electrical Engineering Faculty of Engineering and the Built Environment University of Cape Town
spellingShingle Electrical Engineering
Engelbrecht, Jeanine
Parameters affecting interferometric coherence and implications for long-term operational monitoring of mining-induced surface deformation
thesis_degree_str Doctoral
title Parameters affecting interferometric coherence and implications for long-term operational monitoring of mining-induced surface deformation
title_full Parameters affecting interferometric coherence and implications for long-term operational monitoring of mining-induced surface deformation
title_fullStr Parameters affecting interferometric coherence and implications for long-term operational monitoring of mining-induced surface deformation
title_full_unstemmed Parameters affecting interferometric coherence and implications for long-term operational monitoring of mining-induced surface deformation
title_short Parameters affecting interferometric coherence and implications for long-term operational monitoring of mining-induced surface deformation
title_sort parameters affecting interferometric coherence and implications for long term operational monitoring of mining induced surface deformation
topic Electrical Engineering
url http://hdl.handle.net/11427/5226
work_keys_str_mv AT engelbrechtjeanine parametersaffectinginterferometriccoherenceandimplicationsforlongtermoperationalmonitoringofmininginducedsurfacedeformation