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ZENODO
Software . 2021
License: https://www.gnu.org/licenses/gpl-3.0-standalone.html
Data sources: Datacite
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ZENODO
Software . 2021
Data sources: ZENODO
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Software . 2021
License: https://www.gnu.org/licenses/gpl-3.0-standalone.html
Data sources: Datacite
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Code for global land characterisation using land cover fractions at 100 m resolution

integration_instructionsResearch softwarekeyboard_double_arrow_right Software 17 May 2021 English Publisher:Zenodo
Authors: Masiliūnas, Dainius;
Code repository: https://github.com/GreatEmerald/master-classification/tree/v1.2

doi: 10.5281/zenodo.4767453 , 10.5281/zenodo.3973122

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

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.

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Keywords

machine learning, land cover, R, land cover fraction

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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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