• DocumentCode
    484244
  • Title

    Development of SAR-Based Snow-Covered Area Estimation Method for Borel Forest Zone

  • Author

    Luojus, Kari ; Pulliainen, Jouni ; Metsämäki, Sari ; Molera, Guifre ; Nakari, Risto ; Kärnä, Juha-Petri ; Hallikainen, Martti

  • Author_Institution
    Dept. of Radio Sci. & Eng., Helsinki Univ. of Technol., Helsinki
  • Volume
    3
  • fYear
    2008
  • fDate
    7-11 July 2008
  • Abstract
    Development of an enhanced method for fractional snow-covered area (SCA) estimation for the boreal forest zone is presented. The TKK snow-covered area estimation method was developed and demonstrated for northern boreal forest zone using ERS, Envisat ASAR and Radarsat C-band synthetic aperture radar (SAR) data. The new enhanced approach for SCA estimation, presented here, merges the proven TKK SCA estimation method with several new innovations, enhancing its reliability and accuracy in operational use. The enhancements that form the new method include the weather station assimilation method presented earlier and a new reference data selection process. The SCA estimates acquired with the enhanced method are compared with optical satellite data-based (MODIS) SCA data. The results show a significant increase in accuracy when the enhanced SCA method is applied. Correlation between the radar-based and optical comparison data increases from 0.914 to 0.947 and RMS-error improves from 0.151 to 0.123 when the new method is employed. Additionally the SCA estimation method is adapted to produce SCA estimates in 5 km times 5 km spatial resolution. The analyses for the 5 km times 5 km method indicate poorer estimation accuracy than the nominal drainage-basin-based method.
  • Keywords
    hydrological techniques; remote sensing by radar; snow; synthetic aperture radar; ERS data; Envisat ASAR data; MODIS; RMS-error; Radarsat C-band synthetic aperture radar data; SAR data; TKK snow-covered area estimation method; drainage-basin-based method; fractional snow-covered area estimation; northern boreal forest zone; optical comparison data; reference data selection process; weather station assimilation method; Adaptive optics; Backscatter; MODIS; Meteorology; Optical sensors; Remote monitoring; Snow; Spaceborne radar; Spatial resolution; Testing; remote sensing of snow cover; river discharge forecasting; snow covered area;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium, 2008. IGARSS 2008. IEEE International
  • Conference_Location
    Boston, MA
  • Print_ISBN
    978-1-4244-2807-6
  • Electronic_ISBN
    978-1-4244-2808-3
  • Type

    conf

  • DOI
    10.1109/IGARSS.2008.4779321
  • Filename
    4779321