EGU2020-21875, updated on 12 Jun 2020
https://doi.org/10.5194/egusphere-egu2020-21875
EGU General Assembly 2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

Ground motion and PSI density analysis from Envisat and Sentinel1a InSAR data in the context of a complex landslide monitoring strategy in Karnali river basin, Far-Western Nepal

Arnulf Schiller1, Filippo Vecchiotti1, Anna Sara Amabile1, Carlotta Guardiani3, Megh Raj Dhital2, Amrit Dhakal2, Bharat Raij Pant2, Marc Ostermann1, and Robert Supper1
Arnulf Schiller et al.
  • 1Geological Survey of Austria, Vienna
  • 2Tribhuvan University, Kathmandu
  • 3University of Natural Resources and Life Sciences, Vienna

Continuous INSAR-monitoring of slow mass movements in the surrounding of fast (m/year) or acute processes can deliver important data complementing geomorphologic information in order to understand the broader dynamic context in which a landslide is situated. In course of the Landslide-EVO project (NERC/SHEAR funded), focusing on flood and landside risk assessment and mitigation in the Karnali river basin region in Far Western Nepal by inclusion of local community, this has been evaluated within a test of integrated monitoring methods (comprising eg. ERT, UAV-photogrammetry, D-GPS/geodesy, microseismics, soil water saturation, rainfall, and other) on regional as well as local scale at two selected sites at Bajura and Sunkoda. It was possible to derive extended information about movements in a ROI covering 120 km by 120 km. The PSI/SBAS based velocity analysis exhibits density variations due to specific slope/sensor system geometry, vegetation, data gaps, atmospheric conditions, and high velocities in the most active sites, which causes decorrelation. However, in the less active surrounding of active landslides the velocity information shows generally higher density. INSAR techniques could well complement optical image analysis in the low velocity range of centimetres to several decimetres per year, generally too slow for optical satellite image analysis in this time scale. InSAR-data has the potential to be used for estimating a slow moving masses acceleration or a deep-seated gravitational slope deformations cumulative displacement leading to a partial or total reactivation before other indication appears. It has been shown that large and difficult accessible areas can be monitored with InSAR techniques, while specific sites are equipped with corner reflectors for better signal. The study represents the first of this kind in the region and proves the ability of INSAR techniques for retrieving critical information about mass movements affecting local communities in the Karnali river basin as an example of a developing region.

How to cite: Schiller, A., Vecchiotti, F., Amabile, A. S., Guardiani, C., Dhital, M. R., Dhakal, A., Pant, B. R., Ostermann, M., and Supper, R.: Ground motion and PSI density analysis from Envisat and Sentinel1a InSAR data in the context of a complex landslide monitoring strategy in Karnali river basin, Far-Western Nepal, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-21875, https://doi.org/10.5194/egusphere-egu2020-21875, 2020

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