• DocumentCode
    2206083
  • Title

    Long term deformation time series: 10 years of Earth observation through ENVISAT multi-mode ASAR sensor

  • Author

    Berardino, P. ; Bonano, M. ; Calò, F. ; Casu, F. ; Elefante, S. ; Manunta, M. ; Manzo, M. ; Paglia, L. ; Pepe, A. ; Pepe, S. ; Sansosti, E. ; Solaro, G. ; Tizzani, P. ; Zeni, G. ; Lanari, R.

  • Author_Institution
    Ist. per il Rilevamento Elettromagnetico dell´´Ambiente, Naples, Italy
  • fYear
    2012
  • fDate
    22-27 July 2012
  • Firstpage
    1840
  • Lastpage
    1843
  • Abstract
    We present some of the main advances on long term deformation time series analysis achieved thanks to the 10 years of operation of ENVISAT ASAR sensor. This is done by considering a number of selected case studies, which are mostly based on the use of the Small BAseline Subset (SBAS) technique. In particular, we show how we benefit from the ENVISAT data availability to extend the ERS time series, thus allowing us to obtain almost 20 years of deformation history. Moreover, we demonstrate how the multi-mode capability of ENVISAT permits improving the temporal sampling in SBAS time series. Finally, we introduce a novel technique, tested on ENVISAT data, to generate displacement time series in areas affected by large deformation phenomena.
  • Keywords
    geophysical image processing; geophysical techniques; radar imaging; remote sensing by radar; synthetic aperture radar; time series; ENVISAT data; ERS time series; Earth observation data; Envisat multimode ASAR sensor; SBAS time series; deformation phenomena; displacement time series; long term deformation time series analysis; small baseline subset technique; Azimuth; Global Positioning System; Interferometry; Remote sensing; Satellites; Synthetic aperture radar; Time series analysis; DInSAR; ENVISAT; Pixel-Offset; SBAS; ScanSAR;
  • 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.2012.6351151
  • Filename
    6351151