• DocumentCode
    410967
  • Title

    Radarsat data for Siberian plain ecosystems classification

  • Author

    Im, S.T. ; Gorodzankina, S.M. ; Kharuk, V.I. ; Ranson, K.J.

  • Author_Institution
    Sukachev Inst. of Forest, Krasnoyarsk, Russia
  • Volume
    4
  • fYear
    2003
  • fDate
    21-25 July 2003
  • Firstpage
    2562
  • Abstract
    Radarsat data validity in classification of Siberian plain taiga ecosystems along the Yenisei River (IGBP transect, 90°E) was analyzed. Six test areas were selected. Those areas represent a variety of the main ecosystem and physical-geographical conditions from the tundra to the southern taiga (forest) zones. The analysis of Radarsat signal amplitude, textural characteristics and digital elevation fused data allowed the detection of 18 on-ground classes. For the purpose of classification the importance of parameters are arranged as follows: relief, signal amplitude, skewness, variance, mean Euclidean distance and kurtosis. The main advantage of the Radarsat data is its ability to detect hydromorphic elements (7 bog types were determined).
  • Keywords
    forestry; geophysical signal processing; remote sensing by radar; spaceborne radar; vegetation mapping; Radarsat data; Siberian plain ecosystems; Yenisei river; forest; hydromorphic elements; kurtosis; mean Euclidean distance; physical geographical conditions; signal amplitude; southern taiga zones; Ecosystems; Electronic mail; Euclidean distance; Layout; Radar detection; Rivers; Satellites; Signal analysis; Testing; Vegetation mapping;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium, 2003. IGARSS '03. Proceedings. 2003 IEEE International
  • Print_ISBN
    0-7803-7929-2
  • Type

    conf

  • DOI
    10.1109/IGARSS.2003.1294509
  • Filename
    1294509