School of

Geographical and Earth Sciences

Click here if the dynamic menu fails to appear correctly
 
 

 About the School

transparent

Introduction and welcome

transparent
transparent
transparent

Latest news and events

transparent
transparent
transparent

Staff and postgraduates

transparent
transparent
transparent

Maps and floorplans

transparent
transparent
transparent

Contact the School

transparent
transparent
 

 Staff and postgrads

transparent

Academic and support

transparent
transparent
transparent

Postgraduate students

transparent
transparent
  transparent  

Andy Singleton
PhD candidate

Room: 302, East Quadrangle
Telephone: +44 (0) 141 330 5447
Fax: +44 (0) 141 330 4894
Email: a.singleton.1@research.gla.ac.uk
Personal website: Not available

Andy Singleton
 
transparent
 

Research title

Advanced space geodesy techniques for landslide hazard mapping in the Three Gorges Region, China.

Summary of research

Interferometric Synthetic Aperture Radar (InSAR) is an imaging technique capable of measuring the topography of the Earth’s surface (and its changes over time) from space. The principle of interferometry exploits phase differences between separate SAR images and can measure surface deformation with millimetric precision and tens of metres horizontal spatial resolution over very large regions (e.g. 100 x 100 km). With its day/night and all-weather imaging capability, InSAR has transformed radar remote sensing from a largely interpretative science to a quantitative tool (Rosen et al., 2000). As such, InSAR techniques are increasingly employed to gain insights into geophysical and engineering processes such as earthquakes; landslides; volcanoes; and structural deformation of infrastructure.

The Three Gorges, China, are located in the middle of the Yangtze River covering a length of 193 km running between Fengjie and Yichang (see map). Landslides are a major hazard in the region due to steep slopes, heavy summer rainfall and human activity. The construction of the Three Gorges Dam may have increased the risk of landslides due to bi-annual water-level fluctuations of the 600 km long reservoir and the forced upslope relocation of towns to potentially unstable land. Field-based methods have monitored active landslides but they are limited by spatial coverage. InSAR techniques therefore provide the capability for surveying very large areas at a comparable level of precision to ground-based GPS measurements.

As a space geodetic technique, InSAR is limited by temporal decorrelation and atmospheric effects. In the Three Gorges region, InSAR is particularly limited by steep slopes, dense vegetation and localised water vapour variations. Therefore this research aims to:

  1. Develop a reliable InSAR processing chain to identify and monitor active landslides in the Three Gorges region, focusing on the non-urban areas in particular;
  2. Optimise InSAR Time Series algorithms to make it possible to process multiple images with a wide coverage;
  3. Model slope stability in stable and active areas to assess the geophysical mechanisms responsible for slope instability;
  4. Understand the relationship between active landslides and local geological structures (faults);
  5. Provide a quantitative hazard assessment for this region.

Developing and validating technology for direct monitoring of landslide hazards should enable improved warning systems, infrastructure design and land-use planning.


Background

2007 – 2010: BSc (Hons) Geography, Durham University

2010 – 2014: PhD, University of Glasgow,
2010 – 2014: School of Geographical and Earth Sciences


Awards

June 2010: Moyes Prize for best undergraduate fieldwork
June 2010: Department of Geography, Durham University

March 2011: Prize for best oral presentation
March 2011: RSPSoc Annual Student Conference

April 2011: Student Award (£750)
April 2011: Geological Remote Sensing Group

May 2011: Research Mobility Scholarship (£1500)
May 2011: College of Science and Engineering


Supervisors

Dr Zhenhong Li
Professor Trevor Hoey
Professor Simon Wheeler


Recent publications

Li, Z., Pasquali, P., Cantone, A., Singleton, A., Funning, G., and Forrest, D. 2012. MERIS atmospheric water vapor correction model for Wide Swath Interferometric Synthetic Aperture Radar. IEEE Geoscience and Remote Sensing Letters 9(2): 257 - 261 doi:10.1109/LGRS.2011.2166053 >>

  transparent  

 Related pages >>

transparent

Earth Systems research group homepage

transparent
transparent
transparent

Current Earth Systems postgraduates

transparent
transparent

 

 
transparent
 
 

© School of Geographical and Earth Sciences 2012

Contact Website Coordinator