Dataset Open Access
Forget, Yann;
Linard, Catherine;
Gilbert, Marius
<?xml version='1.0' encoding='utf-8'?> <oai_dc:dc xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"> <dc:creator>Forget, Yann</dc:creator> <dc:creator>Linard, Catherine</dc:creator> <dc:creator>Gilbert, Marius</dc:creator> <dc:date>2018-06-18</dc:date> <dc:description>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.</dc:description> <dc:description>Research funded by the Belgian Science Policy, research project SR/00/304 (http://maupp.ulb.ac.be/).</dc:description> <dc:identifier>https://zenodo.org/record/1291961</dc:identifier> <dc:identifier>10.5281/zenodo.1291961</dc:identifier> <dc:identifier>oai:zenodo.org:1291961</dc:identifier> <dc:language>eng</dc:language> <dc:relation>doi:10.5281/zenodo.1292005</dc:relation> <dc:relation>doi:10.5281/zenodo.1291960</dc:relation> <dc:relation>url:https://zenodo.org/communities/remote-sensing</dc:relation> <dc:rights>info:eu-repo/semantics/openAccess</dc:rights> <dc:rights>https://creativecommons.org/licenses/by/4.0/legalcode</dc:rights> <dc:subject>remote sensing</dc:subject> <dc:subject>openstreetmap</dc:subject> <dc:subject>landsat</dc:subject> <dc:title>Supervised Classification of Built-up Areas in Sub-Saharan African Cities using Landsat Imagery and OpenStreetMap</dc:title> <dc:type>info:eu-repo/semantics/other</dc:type> <dc:type>dataset</dc:type> </oai_dc:dc>
All versions | This version | |
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Data volume | 18.4 GB | 18.4 GB |
Unique views | 279 | 279 |
Unique downloads | 77 | 77 |