• DocumentCode
    575879
  • Title

    Persistent scatterer estimation using optical remote sensing data, land cover data and topographical maps

  • Author

    Plank, Simon ; Singer, John ; Thuro, Kurosch

  • Author_Institution
    Dept. of Eng. Geol., Tech. Univ. Munchen, München, Germany
  • fYear
    2012
  • fDate
    22-27 July 2012
  • Firstpage
    3855
  • Lastpage
    3858
  • Abstract
    Persistent scatterer interferometry (PS-InSAR) is a powerful remote sensing technique for deformation monitoring of e.g. landslides and subsidence areas. However, a useful PS-InSAR processing requires a stack with at least 15 to 50 SAR images, which is a very important cost factor when applying this method. Previous research for PS-estimation used already acquired SAR data. Here, we present three new methods for estimating PS prior to the test site´s radar recording to test whether the PS-InSAR technique can be applied at a certain test site. The three estimation methods use freely available or low-cost optical remote sensing data, land cover data and topographical maps. The results are validated using data of real PS-InSAR processing.
  • Keywords
    geomorphology; geophysical image processing; radar imaging; radar interferometry; remote sensing by radar; synthetic aperture radar; terrain mapping; topography (Earth); PS-InSAR technique; PS-estimation method; Persistent scatterer interferometry; SAR images; deformation monitoring; land cover data; landslides; low-cost optical remote sensing data; optical remote sensing data; persistent scatterer estimation; remote sensing technique; subsidence areas; topographical maps; Estimation; Optical sensors; Remote sensing; Spatial resolution; Synthetic aperture radar; Vegetation mapping; Persistent Scatterer Interferometry (PSI); Synthetic aperture radar (SAR); pre-processing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium (IGARSS), 2012 IEEE International
  • Conference_Location
    Munich
  • ISSN
    2153-6996
  • Print_ISBN
    978-1-4673-1160-1
  • Electronic_ISBN
    2153-6996
  • Type

    conf

  • DOI
    10.1109/IGARSS.2012.6350571
  • Filename
    6350571