• DocumentCode
    1819012
  • Title

    Efficiency of classification techniques for sachen and rupal glaciers variation during 1972–2010

  • Author

    Muhammad, Shahabuddin ; Gul, Chaman ; Muneer, Javeria ; Waqar, Mirza Muhammad

  • Author_Institution
    Dept. of Remote Sensing & GISc, Inst. of Space Technol., Karachi, Pakistan
  • fYear
    2013
  • fDate
    21-23 Aug. 2013
  • Firstpage
    1
  • Lastpage
    3
  • Abstract
    Remote Sensing and GIS has been used effectively to analyze glaciers dynamics. In this paper a comparative analysis of supervised, knowledge based and object based classification techniques have been carried out to map debris and clean ice of sachen and rupal glaciers. Assessment of glaciers temporal variation plays an important role to identify the rate of retreat and advance over a certain period of time. Sachen and Rupal glaciers lying in astore valley have been used as an input for analysis. The area of debris cover and clean ice derived from the classification used have been visualized and compared with the reference classification. Reference classification, derived from standard classification technique further refined by manual editing to obtain highly accurate results. The results from this classification show that Sachen and Rupal glaciers have lost around 2% and 13% of their glaciated area respectively over the last thirty years.
  • Keywords
    geographic information systems; geophysical image processing; glaciology; hydrological techniques; image classification; remote sensing; AD 1972 to 2010; Rupal glacier variation; Sachen glacier variation; clean ice; geographic information systems; glaciers dynamics; knowledge based classification technique; map debris; object based classification technique; reference classification; remote sensing; standard classification; supervised classification technique; Accuracy; Earth; Ice; Lakes; Remote sensing; Satellites; Snow; Reference classification; Rupal; Sachen; glacier;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Aerospace Science & Engineering (ICASE), 2013 International Conference on
  • Conference_Location
    Islamabad
  • Type

    conf

  • DOI
    10.1109/ICASE.2013.6785569
  • Filename
    6785569