• DocumentCode
    2786261
  • Title

    Monitoring of landslides in Nainital, Uttarakhand, India: Validation of PS-InSAR results

  • Author

    Dwivedi, Ramji ; Varshney, Prabal ; Tiwari, Ashutosh ; Narayan, Avadh Bihari ; Singh, Ajai Kumar ; Dikshit, Onkar ; Pallav, Kumar

  • Author_Institution
    Geographic Inf. Syst. (GIS) Cell, MNNIT Allahabad, Allahabad, India
  • fYear
    2015
  • fDate
    March 30 2015-April 1 2015
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    This paper investigates the efficacy of Stanford Method for Persistent Scatterers (StaMPS) to monitor the critical landslides in Nainital township and adjoining areas of state of Uttarakhand, India which has problems due to inadequate drainage management system, seismically active Main Boundary Thrust (MBT) passing from the area, unwanted construction on highly unstable slopes and low insitu strength of rocks. In this research work, 13 descending ENVISAT ASAR C-Band images of Nainital acquired between October 2008 to August 2010 are processed to study the PS-InSAR time series analysis for measuring surface displacement. The case study indicates that StaMPS efficiently extracted sufficient number of PS pixels and detected the slow movement occurring in some regions. In the study area, few critical zones are also identified where time series 1D-Line of Sight (LOS) displacement map shows the maximum deformation (away from the satellite) of about 17 mm/year.
  • Keywords
    deformation; geomorphology; geophysical techniques; radar interferometry; remote sensing by radar; synthetic aperture radar; time series; AD 2008 10 to 2010 08; ENVISAT ASAR C-Band images; India; Nainital; PS-InSAR time series analysis; StaMPS; Stanford Method for Persistent Scatterers; Uttarakhand; deformation; landslides; surface displacement measurement; time series 1D-line of sight displacement map; Hazards; Lakes; Monitoring; Orbits; Satellites; Terrain factors; Time series analysis; Landslide; Monitoring; PS-InSAR; StaMPS;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Urban Remote Sensing Event (JURSE), 2015 Joint
  • Conference_Location
    Lausanne
  • Type

    conf

  • DOI
    10.1109/JURSE.2015.7120538
  • Filename
    7120538