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Sökning: WFRF:(Snehmani Snehmani)

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1.
  • Snehmani, Snehmani, et al. (författare)
  • Monitoring the status of Siachen glacier using multi temporal remote sensing approach
  • 2014
  • Ingår i: Geostatistical and geospatial approaches for the characterization of natural resources in the environment : challenges, processes and strategies. - New Delhi : Capital Publishing Company. - 9789381891254 ; , s. 513-515
  • Konferensbidrag (refereegranskat)abstract
    • The temporal monitoringof any glacier is important for observing the effects of changing climate. This study reports the decadal changes in Siachen glacier. Analysis was carried out on decadal basis by processing and analyzing Landsat images from 1978 to 2013. Images were coregistered within Root Mean Square Error (RMSE) limit of 0.5 pixel. An object based classification approach was adopted to perform temporal semi-automated areal change detection. The glacier inventory of 1978 showed around 74976 ha of glacier area which further decreased by around 1302 ha in 2013 with a shift of 1.5 km in the snout position.
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2.
  • Snehmani, Snehmani, et al. (författare)
  • Study of temporal changes in snout position and wet snow line for Gangotri glacier using remote sensing, ground observations and meteorological data
  • 2013
  • Ingår i: International Journal of Geoinformatics. - 1686-6576. ; 9:1, s. 49-60
  • Tidskriftsartikel (refereegranskat)abstract
    • The temporal changes (1891-2010) in snout position of Gangotri glacier were monitored using Landsat images, ground observations and SoI (Survey of India) toposheets. Temporal changes (2001-09) in wet snow line (wsl) altitude were also observed using LISS-III images and high resolution (6 m pixel size) DEM generated using Cartosat stereopair. These observations were correlated and justified with available snow meteorological data. OCGM (Oerlemans Coarse Grained Model) was run in parallel using meteorological inputs to support the obtained glacier retreat using Landsat data during 2001-10. The retreats observed were 73 m and 54 m respectively using Landsat data and OCGM. The difference was less than 20 m (less than a pixel of Landsat image) thus supporting the usefulness of remote sensing observations for monitoring of rough and hard to access terrain. The wsl altitude showed an overall ascending trend during melting season (May to September). Some atypical fluctuations in this trend were observed for different years which could be explained using available meteorological records
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