Neural networks applied to estimating subglacial topography and glacier volume

HIGHLIGHTS

  • who: GARRY K. C. CLARKE and colleagues from the Department of Earth and Ocean Sciences, University of British Columbia, Vancouver, British Columbia, Canada have published the research: Neural Networks Applied to Estimating Subglacial Topography and Glacier Volume, in the Journal: (JOURNAL)
  • what: The aim of the present contribution is to explore the potential of artificial neural_networks (e_g, Bishop 1995; Reed and Marks 1999) as a tool for estimating ice thickness. This approach has allowed historical variations in glacier mass balance to be constructed (Steiner et_al 2005), past length variations to be comprehended (Steiner et_al 2008 . . .

     

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