• DocumentCode
    3690315
  • Title

    Statistics of TanDEM-X DSM, coherence and backscatter for the characterization of tropical forest structural configuration

  • Author

    Elsa Carla De Grandi;Edward T. A. Mitchard;Iain H. Woodhouse;Astrid Verhegghen;Fiona Muirhead

  • Author_Institution
    University of Edinburgh, School of GeoSciences, Crew Building, King´s Buildings, Alexander Crum, Brown Road, EH9 3JN, United Kingdom
  • fYear
    2015
  • fDate
    7/1/2015 12:00:00 AM
  • Firstpage
    1805
  • Lastpage
    1808
  • Abstract
    Orbital InSAR is an ideal observation instrument in tropical areas, where optical imagery is hampered by persistent cloud cover. In particular, TanDEM-X provides backscatter, interferometric coherence and digital surface model from phase (DSM) at high spatial resolution (4 m), whose spatial statistics can in principle hold information on forest structure. This information, in turn, could lay the ground to distinguish between naturally occurring forest heterogeneity (e.g. due to the presence of emergent species) and forest disturbance, such as forest degradation (e.g. removal of vegetation) and forest regeneration. The present work investigates by experimental analysis how statistical measures of the spatial random fields (SRF) provided by TanDEM-X InSAR data can be mapped onto properties of the forest spatial structure. The analysis is focused on a case study in the Republic of Congo.
  • Keywords
    "Coherence","Backscatter","Optical interferometry","Vegetation","Optical imaging","Spatial resolution","Degradation"
  • 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.2015.7326141
  • Filename
    7326141