• DocumentCode
    297644
  • Title

    Analysis of the Canadian boreal forest using enhanced resolution ERS-1 scatterometer imagery

  • Author

    Wilson, Clarence J., III ; Long, David G.

  • Author_Institution
    Brigham Young Univ., Provo, UT, USA
  • Volume
    1
  • fYear
    1996
  • fDate
    27-31 May 1996
  • Firstpage
    218
  • Abstract
    Scatterometer backscatter measurements (σ°) are primarily and traditionally used to estimate wind speed and direction over the ocean. This paper presents an investigation of the backscatter coefficient of boreal forest and neighboring vegetation regions. ERS-1 backscatter A-values of the Canadian boreal forest are imaged using a resolution enhancement algorithm for this analysis. Regions of boreal forest, tundra, and grassland are individually analyzed over the extent of the ERS-1 scatterometer´s data set (1992-1995). The annual variation of the mean σ° value for each region is presented. Distinct seasonal variations exist for these vegetation types. Boreal forests exhibit a stronger response (~2.5 dB) during warm summer months than during the snow and ice covered winter months. The results of this study indicate good potential for further analysis of boreal forest regions using ERS-1 scatterometer data
  • Keywords
    backscatter; forestry; geophysical techniques; radar cross-sections; remote sensing by radar; spaceborne radar; AD 1992; AD 1993; AD 1994; AD 1995; Canada; ERS-1; ERS-1 scatterometer imagery; annual variation; backscatter; boreal forest; forestry; geophysical measurement technique; grassland; radar remote sensing; radar scattering; resolution enhancement algorithm; season; seasonal variation; spaceborne radar; tundra; vegetation mapping; Algorithm design and analysis; Backscatter; Image analysis; Image resolution; Oceans; Radar measurements; Sea measurements; Vegetation mapping; Velocity measurement; Wind speed;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium, 1996. IGARSS '96. 'Remote Sensing for a Sustainable Future.', International
  • Conference_Location
    Lincoln, NE
  • Print_ISBN
    0-7803-3068-4
  • Type

    conf

  • DOI
    10.1109/IGARSS.1996.516296
  • Filename
    516296