Improving mountain snow and land cover mapping using very-high-resolution (vhr) optical satellite images and random forest machine learning models improving mountain snow and land cover mapping using very-high-resolution (vhr) optical satellite images and random forest machine learning

HIGHLIGHTS

• who: WorldView and collaborators from the Department of Civil and Environmental Engineering, University of Washington, Seattle, WA, USA have published the research: Improving Mountain Snow and Land Cover Mapping Using Very-High-Resolution (VHR) Optical Satellite Images and Random Forest Machine Learning Models Improving Mountain Snow and Land Cover Mapping Using Very-High-Resolution (VHR) Optical Satellite Images and Random Forest Machine Learning, in the Journal: (JOURNAL) of 24/04/2018
• what: The authors explore the potential of Maxar WorldView-2 and in-track stereo images (WV) for land and snow cover mapping at two . . .
  

   

  

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