Improving Active Remote Sensing of Snow Through the Use of Multiple Frequencies, In-Situ Data and Neural Networks

Randy J. Chase, University of Illinois at Urbana Champaign, Urbana, IL, United States, Stephen W Nesbitt, University of Illinois at Urbana Champaign, Department of Atmospheric Sciences, Urbana, IL, United States, Greg M McFarquhar, Cooperative Institute for Mesoscale Meteorological Studies, University of Oklahoma, Norman, OK, United States, Frederic Tridon, University of Cologne, Institute for Geophysics and Meteorology, Cologne, Germany and Jussi S. Leinonen, École polytechnique fédérale de Lausanne (EPFL), Environmental Remote Sensing Laboratory, Lausanne, Switzerland