Code for global land characterisation using land cover fractions at 100 m resolution

Research output: Non-textual formSoftwareOther research output

Abstract

The code that was created in the making of the paper "Global land characterisation using land cover fractions at 100 m resolution", used for global land cover fraction mapping using PROBA-V data, as well as the MSc thesis "Fuzzy land cover classification method assessment using PROBA-V satellite data" which focuses on raster-(tile-)based processing. See the included README files for more information.
Original languageEnglish
PublisherWageningen University & Research
Media of outputOnline
DOIs
Publication statusPublished - 17 May 2021

Keywords

  • land cover
  • land cover fraction
  • machine learning
  • R

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