• DocumentCode
    576165
  • Title

    Landslide monitoring with spotlight TerraSAR-X DATA

  • Author

    Iglesias, Ruben ; Monells, Dani ; Centolanza, Giuseppe ; Mallorqui, Jordi J. ; Fabregas, Xavier ; Aguasca, Albert

  • Author_Institution
    Univ. Politec. de Catalunya (UPC), Barcelona, Spain
  • fYear
    2012
  • fDate
    22-27 July 2012
  • Firstpage
    1298
  • Lastpage
    1301
  • Abstract
    This paper aims to demonstrate that radar-based remote sensing techniques can be as effective as the conventional geotechnical ones for the detection and monitoring of well suited areas. Many of the high mountain landslides are vegetated areas that decorrelate faster at X-band. As in these scenarios the number of coherent scatterers is low and, in addition, the area of interest is usually small, the processing can be benefited of the usage of high-resolution data. This will maximize the chances of detecting persistent scatters coming from both natural targets and man-made structures. The high resolution Spotlight mode of TerraSAR-X is thus the perfect choice as it offers a fine resolution. On the other hand, its 11 days of revisit time and X-band carrier allows the monitoring of small variations in the landslide trend and deal with its variable dynamics.
  • Keywords
    geomorphology; geophysical image processing; remote sensing by radar; terrain mapping; X-band carrier; coherent scatterers; high mountain landslides; high resolution Spotlight mode; high-resolution data; landslide monitoring; landslide trend; man-made structures; natural targets; persistent scatters; radar-based remote sensing techniques; revisit time; spotlight TerraSAR-X data; variable dynamics; vegetated areas; Azimuth; Doppler effect; Image resolution; Monitoring; Remote sensing; Synthetic aperture radar; Terrain factors; DInSAR; GB-SAR; Landslide; Spotlight; TerraSAR-X;
  • 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.2012.6351300
  • Filename
    6351300