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ZENODO
Dataset . 2018
License: CC BY
Data sources: Datacite
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
Dataset . 2018
License: CC BY
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
Dataset . 2018
License: CC BY
Data sources: Datacite
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Supervised Classification Of Built-Up Areas In Sub-Saharan African Cities Using Landsat Imagery And Openstreetmap

Research datakeyboard_double_arrow_right Dataset 18 Jun 2018 English Publisher:Zenodo
Authors: Forget, Yann; Linard, Catherine; Gilbert, Marius;

doi: 10.5281/zenodo.1291961 , 10.5281/zenodo.1291960

Supervised Classification Of Built-Up Areas In Sub-Saharan African Cities Using Landsat Imagery And Openstreetmap

Abstract

This dataset contains input, intermediary, and output files for the following paper: Yann Forget, Catherine Linard and Marius Gilbert. "Supervised Classification of Built-up Areas in Sub-Saharan African Cities using Landsat Imagery and OpenStreetMap", 2018. The dataset is composed of three archives: input.zip : contains raw input data required to run the study ; intermediary.zip : contains processed data required for the analysis ; output.zip : contains the output tables and images of the study. Alternatively, output images of the study can be previewed here in interactive maps. The source code used to produce the outputs is availabe here.

Research funded by the Belgian Science Policy, research project SR/00/304 (http://maupp.ulb.ac.be/).

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Keywords

remote sensing, landsat, openstreetmap

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selected citations
These citations are derived from selected sources.
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).
BIP!Citations provided by BIP!
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.
BIP!Impulse provided by BIP!
views
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