EGU2020-22063
https://doi.org/10.5194/egusphere-egu2020-22063
EGU General Assembly 2020
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.

Estimating soil moisture from COSMO-SkyMed data at an active landslide site in North Yorkshire, UK

Thomas Bliss1, John Wainwright1, Danny Donoghue1, and Colm Jordan2
Thomas Bliss et al.
  • 1Durham University, Geography Department, United Kingdom of Great Britain and Northern Ireland (clare.bliss@durham.ac.uk)
  • 2British Geological Survey

Surface soil moisture is recognised as an important measurement for use in the assessment of potential slope instability in hydraulically driven landslides.  In this poster we present a nine month time series of surface soil moisture estimates derived from ESA’s Cosmo SkyMed Synthetic Aperture RADAR (SAR) product at the Hollin Hill Landslide Observatory in North Yorkshire, UK.   

We show the relationship between these SAR-derived SM values and ground-truthed surface soil moisture data, explore spatial relationships between areas of high soil moisture and landslide activity and briefly discuss the potential of SAR data as an input for Landslide Early Warning systems.

How to cite: Bliss, T., Wainwright, J., Donoghue, D., and Jordan, C.: Estimating soil moisture from COSMO-SkyMed data at an active landslide site in North Yorkshire, UK, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-22063, https://doi.org/10.5194/egusphere-egu2020-22063, 2020.