Monitoring of landslide activity at the Sirobagarh landslide, Uttarakhand, India, using LiDAR, SAR interferometry and geodetic surveys

Abstract A robust geodetic framework comprising Terrestrial Laser Scanner (TLS), Global Navigation Satellite Systems (GNSS), Robotic Total Station (RTS) and Multi-temporal InSAR (MT-InSAR) was employed first in India to investigate a landslide-prone Sirobagarh region, Uttarakhand, at different spatial extents, and to evaluate the relationship amongst the displacement estimates obtained from the applied surveying techniques. TLS derived digital elevation models indicated displacements >5 m on the landslide upper scarp. GNSS- and RTS-based observations showed horizontal movements towards the Alaknanda river in the landslide slope direction (maximum values: 0.1305 and 0.045 m, respectively), and downward vertical motion (largest subsidence magnitude: −2.1315 and −0.030 m, respectively). MT-InSAR processing of Sentinel-1a images identified 21071 measurement pixels, highlighting subsidence around the landslide (mean velocity range: −0.110 to 0.008 m/year). Analysis of displacement vectors using vector equality, cross-covariance, cross-correlation and principal component analysis reveals that GNSS vertical displacement estimates were partially correlated with MT-InSAR measurements (correlated for epoch difference 2–3), whereas there was good cross-correlation between MT-InSAR and LiDAR observations throughout. The displacement estimates and their analyses evident unstable movement of the landslide scarp occurring due to debris flow and rainfall, and a relatively moderate subsidence activity in the surrounding areas lying in the landslide zone.

[1]  Wilhelm Caspary,et al.  Deformation analysis by statistical methods , 1990 .

[2]  G. Even-Tzur,et al.  OPTIMIZATION OF GPS NETWORKS BY LINEAR PROGRAMMING , 1996 .

[3]  Halim Setan,et al.  DEFORMATION ANALYSIS OF A GEODETIC MONITORING NETWORK , 2001 .

[4]  Gianfranco Fornaro,et al.  A new algorithm for surface deformation monitoring based on small baseline differential SAR interferograms , 2002, IEEE Trans. Geosci. Remote. Sens..

[5]  P. Cederholm,et al.  DEFORMATION ANALYSIS USING CONFIDENCE ELLIPSOIDS , 2003 .

[6]  H. Zebker,et al.  A new method for measuring deformation on volcanoes and other natural terrains using InSAR persistent scatterers , 2004 .

[7]  Erik W. Grafarend,et al.  Horizontal Deformation Rate Analysis Based on Multiepoch GPS Measurements in Shanghai , 2008 .

[8]  Kamil Teke,et al.  OPTIMIZATION OF GPS NETWORKS FOR LANDSLIDE AREAS , 2008 .

[9]  Trond Nordvik,et al.  Statistical analysis of surface displacements – an example from the Åknes rockslide, western Norway , 2009 .

[10]  M. Jaboyedoff,et al.  Use of LIDAR in landslide investigations: a review , 2012, Natural Hazards.

[11]  Claudio Prati,et al.  A New Algorithm for Processing Interferometric Data-Stacks: SqueeSAR , 2011, IEEE Transactions on Geoscience and Remote Sensing.

[12]  Ruey-Juin Rau,et al.  Modern vertical deformation rates and mountain building in Taiwan from precise leveling and continuous GPS observations, 2000–2008 , 2011 .

[13]  A. Anuar,et al.  The movement detection on the landslide surface by using Terrestrial Laser Scanning , 2011, 2011 IEEE Control and System Graduate Research Colloquium.

[14]  W. A. W. Wan Aziz,et al.  Terrain slope analyses between terrestrial laser scanner and airborne laser scanning , 2012, 2012 IEEE Control and System Graduate Research Colloquium.

[15]  Michel JaboyedoffThierry Use of LIDAR in landslide investigations: a review , 2012 .

[16]  Monitoring of landslide dynamics with LIDAR , SAR interferometry and photogrammetry . Case study of Kłodne landslide ( Southern Poland ) , 2013 .

[17]  M. Barbarella,et al.  Monitoring of large landslides by Terrestrial Laser Scanning techniques: field data collection and processing , 2013 .

[18]  Alessandro Corsini,et al.  Multi-sensors integrated system for landslide monitoring: critical issues in system setup and data management , 2013 .

[19]  Domenico Denora,et al.  Terrestrial Laser Scanning for the Montaguto Landslide (Southern Italy) , 2013 .

[20]  O. Dikshit,et al.  A comparison of particle swarm optimization (PSO) and genetic algorithm (GA) in second order design (SOD) of GPS networks , 2013 .

[21]  Mustafa Neamah Jebur,et al.  Optimization of landslide conditioning factors using very high-resolution airborne laser scanning (LiDAR) data at catchment scale , 2014 .

[22]  J. Virtanen,et al.  GOCE, Geoids and Heights , 2014 .

[23]  V. Joshi,et al.  Study of Landslide Hazard Zonation in Mandakini Valley, Rudraprayag District, Uttarakhand Using Remote Sensing and GIS , 2015 .

[24]  Q. Napoleoni,et al.  A multi-sensor approach for monitoring an active volcanic area: The 2011–2014 eruptive phase of Mount Etna , 2015, 2015 IEEE 15th International Conference on Environment and Electrical Engineering (EEEIC).

[25]  C. Toth,et al.  Probabilistic Use of LiDAR Data to Detect and Characterize Landslides , 2015 .

[26]  Ramon F. Hanssen,et al.  Combining InSAR, levelling and GNSS for the estimation of 3D surface displacements , 2015 .

[27]  T. Wright,et al.  The 2014–2015 eruption of Fogo volcano: Geodetic modeling of Sentinel‐1 TOPS interferometry , 2015 .

[28]  Ajai Kumar Singh,et al.  First-Order Design of GPS Networks Using Particle Swarm Optimization , 2016 .

[29]  Núria Devanthéry,et al.  Persistent Scatterer Interferometry: A review , 2016 .

[30]  Ashutosh Kumar Singh,et al.  A study on measuring surface deformation of the L’Aquila region using the StaMPS technique , 2016 .

[31]  J. L. Berné,et al.  Simulation case study of deformations and landslides using real-time GNSS precise point positioning technique , 2016 .

[32]  C. Del Ventisette,et al.  Strain rates in the Alpine Mediterranean region: insights from advanced techniques of data processing , 2017, GPS Solutions.

[33]  Marco Polcari,et al.  3D displacement field retrieved by integrating Sentinel-1 InSAR and GPS data: the 2014 South Napa earthquake , 2016 .

[34]  M. Fressard,et al.  Multi-method characterisation of an active landslide: Case study in the Pays d'Auge plateau (Normandy, France) , 2016 .

[35]  Kai Liu,et al.  Three-dimensional slope stability analysis using laser scanning and numerical simulation , 2017 .

[36]  A. Kornejady,et al.  Landslide susceptibility assessment using maximum entropy model with two different data sampling methods , 2017 .

[37]  Ashutosh Kumar Singh,et al.  Optimal estimation of interferometric phase for measuring surface deformation , 2017 .

[38]  K. Rajan,et al.  Localized Segment Based Processing for Automatic Building Extraction from LiDAR Data , 2017 .

[39]  Shanlan Qin,et al.  Comparative study on vertical deformation based on GPS and leveling data , 2017 .

[40]  H. Zebker,et al.  Persistent Scatterer InSAR for Crustal Deformation Analysis , with Application to Volcán Alcedo , Galápagos , 2022 .