Science Service System

Summary of Proposal GEO1548

TitleEvolution of land subsidence from high resolution TSX imagery with multiple InSAR techniques
Investigator Li, Zhenhong - Newcastle University, School of Civil Engineering and Geosciences
Team Member
Dr Tomás, Roberto - University of Alicante, Department of Civil Engineering
Dr KINCAL, Cem - Dokuz Eylul University, Department of Geological Engineering
SummaryLand subsidence is a major global hazard, resulting from natural (eg landslides and earthquakes) and human (eg mining, oil and groundwater extraction) processes, that causes economic losses and fatalities. The hazard is both widespread and spatially variable, such that reliable mapping of subsidence across wide areas is of crucial importance to support sustainable economic development, protect infrastructure assets and to ensure public safety, particularly for urban areas with active faults and/or intensive groundwater use. The development and application of various InSAR techniques can often provide the most comprehensive regional assessment of widespread land subsidence hazards. With the higher resolutions offered by the TerraSAR-X sensor, even individual buildings can be studied in order to extract the underlying geophysical mechanisms. Continued monitoring of land subsidence may help to act as an early warning system through the potential to identify accelerating deformation characteristics which may signal an imminent catastrophic failure. This proposal aims to apply a number of techniques to the regularly acquired SAR images (namely conventional InSAR, Small Baseline InSAR and pixel-offset time-series techniques) in order to further understand various land subsidence hazards. Specific objectives of this proposal are: (1) Further develop existing InSAR processing chain to better process high resolution SAR imagery; (2) Identify subsiding areas over several selected study sites and their corresponding trends; and, (3) Investigate the underlying geophysical mechanisms of subsiding areas. The final deliverables will be: (i) A quantitative hazard assessment for each region, which will be freely available for the public; (ii) 2-3 peer-reviewed journal papers to contain the research outcomes; (iii) Presentations in DLR TerraSAR-X Science Meetings and relevant workshops/conferences (e.g. ESA FRINGE and AGU Fall Meetings). The data requested includes archived Stripmap images over six cities (five in China and one in Spain); we choose these cities mainly because there is an active fault and/or intensive groundwater use for each one. A challenge scientific question is: which factor will be the controlling one for land subsidence, tectonic movements or human activities? We ask for the largest amount of imagery covering the designated study areas and covering the longest amount of time subject to the conditions of the open call for archived acquisitions. Funding: Li (PI) is funded by Scottish Funding Council, Tomas(Co-I) by Spanish Research Council, and Kincal (Co-I) by TurkishScientific and Technological Research Council. Singleton is supported by a UK EPSRC industry studentship.

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