A Remote Sensing Approach for Landslide Hazard Assessment on Engineered Slopes

  1. Lookup NU author(s)
  2. Dr Stuart Barr
  3. Dr Stephen Birkinshaw
  4. Dr Geoffrey Parkin
Author(s)Miller P, Mills J, Barr SL, Birkinshaw S, Hardy A, Parkin G, Hall S
Publication type Article
JournalIEEE Transactions on Geoscience and Remote Sensing
Year2012
Volume50
Issue4
Pages1048-1056
ISSN (print)0196-2892
ISSN (electronic)1558-0644
Full text for this publication is not currently held within this repository. Alternative links are provided below where available.
Earthworks such as embankments and cuttings are integral to road and rail networks, but can be prone to instability, necessitating rigorous and continual monitoring. To-date, the potential of remote sensing for earthwork hazard assessment has been largely overlooked. However, techniques such as airborne laser scanning (ALS) are now ripe for addressing these challenges. This research presents the development of a novel hazard assessment strategy, combining high resolution remote sensing with a numerical modelling approach. The research was implemented at a railway test site located in northern England, UK. ALS data and multispectral aerial imagery facilitated the determination of key slope stability variables, which were then used to parameterise a coupled hydrological-geotechnical model, in order to simulate slope behaviour under current and future climates. A software toolset was developed to integrate the core elements of the methodology and determine resultant slope failure hazard which could then be mapped and queried within a GIS environment. Results indicate that the earthworks are largely stable, in broad agreement with the management company’s slope hazard grading data, and in terms of morphological analysis, the remote methodology was able to correctly identify 99% of earthworks classed as embankments, and 100% of cuttings. The developed approach provides an effective and practicable method for remotely quantifying slope failure hazard at fine spatial scales (0.5 m), and for prioritising and reducing on-site inspection.
PublisherIEEE
URLhttp://dx.doi.org/10.1109/TGRS.2011.2165547
DOI10.1109/TGRS.2011.2165547
Actions    Link to this publication