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ZENODO
Dataset . 2019
License: CC BY
Data sources: Datacite
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ZENODO
Dataset . 2019
License: CC BY
Data sources: ZENODO
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ZENODO
Dataset . 2019
License: CC BY
Data sources: Datacite
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Copernicus Global Land Service: Land Cover 100m: epoch 2018: Africa demo (deprecated)

Authors: Buchhorn, Marcel; Smets, Bruno; Bertels, Luc; Lesiv, Myroslava; Tsendbazar, Nandin-Erdene; Herold, Martin; Fritz, Steffen;

Copernicus Global Land Service: Land Cover 100m: epoch 2018: Africa demo (deprecated)

Abstract

This demo dataset over Africa is deprecated. Please see this global dataset instead. Demonstration land cover maps over Africa at 100m resolution for epoch year 2018, from the global component of the Copernicus Land Service and derived from PROBA-V satellite observations. The maps include the main discrete classification (23 classes aligned with UN-FAO's LCCS), a set of cover fractions (%) for the 10 main classes and additional quality layers (e.g. density of input data). For the near-real time (nrt) epoch 2018, the classifier and regression models of base year 2015 are used, and the time window of the classified metrics covers one full year prior (2017) and three months pastor (Jan-March 2019) data. The nrt map can then be supplied in the fourth month after the most recent completed calendar year, and is updated (consolidated) afterwards by using a full year of paster data (when epoch 2019-nrt is produced, epoch 2018 is consolidated). The layers with the probability of the discrete classification and the standard deviation of the cover fractions are only provided for the base year (epoch 2015). The Change Consistency Layer that checks consistency between classifier and break detection, is only available for this near-real time epoch View the maps and area statistics Product User Manual More land cover change product information and documentation

Related Organizations
Keywords

Land cover, land use, globe, earth, remote sensing, satellite, copernicus, PROBA-V

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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.
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influence
This indicator 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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impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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