Dr. Katya Kovalenko

UMD Natural Rsrc Rsrch Inst
UM Duluth
Project Title: 
Machine Learning Applications in Landscape-Level Ecology

This group uses MSI for two projects:

  • Extend machine learning models to large raster stacks (>1 TB) to predict land use, land conversion, forest type, and wetland restoration scenarios for the state of Minnesota
  • Community change-point and other analyses on multi-lake paleolimnological data, as well as possible other upcoming projects

Project Investigators

Will Bartsch
Dr. Jessica Gorzo
Dr. Katya Kovalenko
Kristi Nixon
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