• DocumentCode
    3690548
  • Title

    Global sensitivity analysis of a morphology based electromagnetic scattering model

  • Author

    Onur Yuzugullu;Stefano Marelli;Esra Erten;Bruno Sudret;Irena Hajnsek

  • Author_Institution
    Institute of Environmental Engineering, Chair of Earth Observation and Remote Sensing, ETH Zurich, CH-8093 Zurich, Switzerland
  • fYear
    2015
  • fDate
    7/1/2015 12:00:00 AM
  • Firstpage
    2743
  • Lastpage
    2746
  • Abstract
    Remote sensing techniques with Synthetic Aperture Radar (SAR) provides detailed information of the electromagnetic scattering behaviour of their targets. It is broadly used for agricultural monitoring due to their all-weather acquisition possibility. Based on the nature of SAR systems, they are known to be sensitive to physical changes in the targets, such as plant growth. An uncertainty analysis for a plant morphology based electromagnetic scattering model is assessed in this study. The global sensitiveness of the model to the input variables are tested with respect to their total Sobol´ indices. This helps to understand the parameters for each growth stage and polarization channel, which can be used to reduce the complexity of the scattering model.
  • Keywords
    "Analytical models","Scattering","Computational modeling","Synthetic aperture radar","Backscatter","Sensitivity analysis","Agriculture"
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium (IGARSS), 2015 IEEE International
  • ISSN
    2153-6996
  • Electronic_ISBN
    2153-7003
  • Type

    conf

  • DOI
    10.1109/IGARSS.2015.7326381
  • Filename
    7326381