Suggested by: Karima Hadj-Rabah
These
images are displacement mean velocity maps of “Mitidja” Bassin (Algeria), using
two different time series analysis techniques Permanent Scatterers (PS) on the
left and Small Baseline Subset (SBAS) on the right. (c) LTIR/USTHB
Short description
Understanding long-term ground displacement is essential for assessing the impacts of environmental changes and human activities on land stability. Differential Interferometric Synthetic Aperture Radar (DInSAR) time series analysis provides a powerful method for detecting and quantifying such displacements over extended periods. This approach is particularly relevant for studying phenomena like subsidence caused by groundwater extraction and reduced precipitation, as seen in regions affected by similar dynamics to the Mitidja Basin in Algeria.
This master thesis focuses on using DInSAR time series analysis to monitor long-term displacement associated with natural hazards and environmental changes. By leveraging Sentinel-1 SAR data and open-source tools such as GMTSAR and LicSAR, the research aims to develop a workflow for detecting and analyzing ground displacement trends. The outcomes will provide valuable insights into the spatial and temporal dynamics of land deformation, contributing to sustainable land management and hazard mitigation strategies.
Start
As soon as possible
Prerequisites/qualification
- Remote Sensing & GIS
- Interest in the topic
- Basic Scripting/Programming (e.g., Python)
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