• DocumentCode
    575872
  • Title

    On the use of COSMO-SkyMed SAR data and Numerical Weather Models for interferometric DEM generation

  • Author

    Nitti, D.O. ; Nutricato, R. ; Intini, F. ; Bovenga, F. ; Chiaradia, M.T. ; Pacione, R. ; Vespe, F.

  • Author_Institution
    GAP srl, Bari, Italy
  • fYear
    2012
  • fDate
    22-27 July 2012
  • Firstpage
    3935
  • Lastpage
    3938
  • Abstract
    The present study is aimed at investigating the potentialities of the COSMO/SkyMed (CSK) constellation for ground elevation measurement with particular attention devoted to the impact of the improved spatial resolution wrt the previous SAR sensors. Assuming no movement and successful orbital error removal, the main problem in height computation through InSAR techniques derives from the interferometric phase artifacts related to the interaction between microwave and the lower layers of the atmosphere (APS, Atmospheric Phase Screen). Different strategies can be adopted to filter out this signal, ranging from the exploitation of the well-known spatial and temporal statistics of the APS to the estimation of independent APS measurements through Numerical Weather Prediction (NWP) models. Their feasibility and the achievable accuracies are discussed here.
  • Keywords
    digital elevation models; remote sensing by radar; synthetic aperture radar; weather forecasting; APS spatial statistics; APS temporal statistics; COSMO-SKYMED SAR data; COSMO-SkyMed constellation; InSAR techniques; NWP models; SAR sensors; ground elevation measurement; interferometric DEM generation; interferometric phase artifacts; numerical weather models; numerical weather prediction; orbital error removal; Atmospheric measurements; Atmospheric modeling; Interferometry; Meteorology; Numerical models; Spatial resolution; Synthetic aperture radar; COSMO/SkyMed; GPS ZTD; Numerical Weather Model; SAR Interferometry;
  • 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.2012.6350551
  • Filename
    6350551