• DocumentCode
    2120603
  • Title

    Monitoring of soil moisture and vegetation water content variations in boreal forest from C-band SAR data

  • Author

    Pulliainen, Jouni ; Hari, Pertti ; Hallikainen, Martti ; Patrikainen, Niina ; Perämäki, Martti ; Kolari, Pasi

  • Author_Institution
    Lab. of Space Technol., Helsinki Univ. of Technol., Espoo, Finland
  • Volume
    2
  • fYear
    2004
  • fDate
    20-24 Sept. 2004
  • Firstpage
    1013
  • Abstract
    The response of ERS-2 SAR to changes in soil and forest canopy moisture is investigated at a boreal forest test region in Finland. An inversion approach to estimate moisture characteristics from SAR data is applied. The method requires that a priori information on forest biomass (stem volume) and soil type distribution is available. The inversion technique provides estimates that are here, in addition to backscattering signatures, directly compared with daily in situ moisture values. The results indicate that time-series of C-band radar observations can be used for the monitoring of boreal forest moisture variations. Especially, the detection of the driest and the wettest conditions on mineral soil sites appears to be a feasible application even for single channel radar. The obtained SAR-based soil moisture estimates showed an RMSE level of 6% units against the in situ data for pine-dominated mineral soil sites.
  • Keywords
    forestry; moisture; radar cross-sections; remote sensing by radar; soil; synthetic aperture radar; vegetation mapping; C-band radar observation; ERS-2 SAR data; European Remote Sensing; Finland; RMSE level; Synthetic Aperture Radar; backscattering signature; boreal forest test region; driest/wettest condition detection; forest biomass; in situ data; inversion technique; pine-dominated mineral soil site; root mean square error; single channel radar; soil moisture/vegetation water content variation; soil type distribution; time series; Backscatter; Biomass; Materials testing; Minerals; Monitoring; Radar remote sensing; Snow; Soil moisture; Space technology; Vegetation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium, 2004. IGARSS '04. Proceedings. 2004 IEEE International
  • Print_ISBN
    0-7803-8742-2
  • Type

    conf

  • DOI
    10.1109/IGARSS.2004.1368582
  • Filename
    1368582