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InSAR time series analysis and machine learning for ground subsidence monitoring and susceptibility mapping in Midvaal, South Africa
The Midvaal region in Gauteng faces a significant challenge of ground subsidence, which poses significant risks, including sinkhole formation, disruptions to infrastructure, and threats to human settlements. Despite the severity of this issue, existing methodologies for monitoring and mapping ground...
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| Format: | Thesis |
| Language: | English Eng |
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School of Architecture, Planning and Geomatics
2025
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