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

D. Masiliunas

doi:10.5281/zenodo.3973122

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

Research output: Non-textual form › Software

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 language	English
Publisher	Wageningen University & Research
Media of output	Online
DOIs	https://doi.org/10.5281/zenodo.3973122
Publication status	Published - 17 May 2021

Keywords

land cover
land cover fraction
machine learning
R

Access to Document

10.5281/zenodo.3973122Licence: GNU GPL

1 Article

Global land characterisation using land cover fractions at 100 m resolution
Masiliūnas, D., Tsendbazar, N.-E., Herold, M., Lesiv, M., Buchhorn, M. & Verbesselt, J., 1 Jun 2021, In: Remote Sensing of Environment. 259, 112409.
Research output: Contribution to journal › Article › Academic › peer-review

Open Access
35 Citations (Scopus)

Cite this

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AB - 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.

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

Abstract

Keywords

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Research output

Global land characterisation using land cover fractions at 100 m resolution

Cite this