• DocumentCode
    291664
  • Title

    Capability of radar and microwave radiometer to classify snow types in forested areas

  • Author

    Koskinen, Jarkko ; Kurvonen, Lauri ; Jääskeläinen, Ville ; Hallikainen, Martti

  • Author_Institution
    Lab. of Space Technol., Helsinki Univ. of Technol., Espoo, Finland
  • Volume
    3
  • fYear
    1994
  • fDate
    8-12 Aug 1994
  • Firstpage
    1283
  • Abstract
    The authors have organized several airborne campaigns with their dual-frequency scatterometer and multifrequency radiometer under various snow conditions. These data are complemented with ERS-1 SAR images of the same test site. The effect of land use categories (especially forests) to the snow mapping capability of radar and radiometer has been investigated
  • Keywords
    atmospheric techniques; hydrological techniques; image classification; microwave measurement; radar applications; radar imaging; radiometry; remote sensing; remote sensing by radar; snow; spaceborne radar; synthetic aperture radar; ERS-1; SAR image; atmosphere; dual-frequency scatterometer; forest; forested areas; hydrology; image classification; measurement technique; meteorology; microwave radiometry; multifrequency radiometer; radar remote sensing; snow cover snowpack; snow mapping; snow type; trees; Microwave radiometry; Radar measurements; Radar remote sensing; Remote monitoring; Snow; Soil measurements; Space technology; Spaceborne radar; Testing; Vegetation mapping;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium, 1994. IGARSS '94. Surface and Atmospheric Remote Sensing: Technologies, Data Analysis and Interpretation., International
  • Conference_Location
    Pasadena, CA
  • Print_ISBN
    0-7803-1497-2
  • Type

    conf

  • DOI
    10.1109/IGARSS.1994.399417
  • Filename
    399417