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
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