• DocumentCode
    3064302
  • Title

    Recommendations for long-term operational dinsar monitoring of mining-induced deformation in a dynamic agricultural region

  • Author

    Engelbrecht, Julia ; Inggs, Michael

  • Author_Institution
    Council for Geosci., Bellville, South Africa
  • fYear
    2013
  • fDate
    21-26 July 2013
  • Firstpage
    2912
  • Lastpage
    2915
  • Abstract
    Underground mining activities are associated with the potential for surface deformation. DInSAR techniques are known for its ability to successfully measure and monitor deforming areas. However, the limitations associated with this technology are mostly related to signal decorrelation effects which are introduced as a result of the surface and sensor characteristics. In this paper we examine the operational limitations of this technology in the presence of disturbances to the reflected signals, due to the dynamic agricultural nature of the sites under test. Three sources of SAR data captured at X-band, C-band and L-band respectively was considered. The results revealed that changes in the vegetative conditions affected C- and X-band data (as might be expected) more severely, although changes in surface conditions induced by tilling and harvesting also affected L-band data. C-band data could not measure deformation maxima whilst L-band data showed reduced sensitivity to deformation minima.
  • Keywords
    geomorphology; geophysical techniques; radar interferometry; remote sensing by radar; synthetic aperture radar; C-band data; DInSAR techniques; L-band data; SAR data; X-band data; dynamic agricultural nature; long-term operational DInSAR monitoring; mining-induced deformation; sensor characteristics; signal decorrelation effects; surface characteristics; underground mining activities; vegetative conditions; Abstracts; Area measurement; Coherence; Indexes; Monitoring; Interferometric SAR; deformation measurements; effect of wavelength;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium (IGARSS), 2013 IEEE International
  • Conference_Location
    Melbourne, VIC
  • ISSN
    2153-6996
  • Print_ISBN
    978-1-4799-1114-1
  • Type

    conf

  • DOI
    10.1109/IGARSS.2013.6723434
  • Filename
    6723434