Dataset Open Access

Ouagadougou land use map at street block level

Tais Grippa; Stefanos Georganos


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        <foaf:name>Tais Grippa</foaf:name>
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        <foaf:name>Stefanos Georganos</foaf:name>
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    <dct:title>Ouagadougou land use map at street block level</dct:title>
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    <dcat:keyword>Ouagadougou</dcat:keyword>
    <dcat:keyword>Land use</dcat:keyword>
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    <dct:issued rdf:datatype="http://www.w3.org/2001/XMLSchema#date">2019-06-04</dct:issued>
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    <dct:description>&lt;p&gt;This datatset contains a land use classification of Ouagadougou (Burkina Faso) at the street block level. It was created following the methodology presented in&amp;nbsp;[1].&lt;/p&gt; &lt;p&gt;Description of the files:&lt;/p&gt; &lt;ul&gt; &lt;li&gt;&amp;quot;Ouagadougou_landuse.gpkg&amp;quot; : GeoPackage with two layers: (1) layer of the street blocks extracted from OpenStreetMap using [2] with classification results in the attribute table. (2) layer with manual correction made by GEORGANOS Stefanos (sgeorganos@ulb.ac.be).&lt;/li&gt; &lt;li&gt;&amp;quot;Ouagadougou_landuse_style_QGIS.zip&amp;quot; : Files for style for rendering in QGIS.&lt;/li&gt; &lt;/ul&gt; &lt;p&gt;Attribute table content:&lt;/p&gt; &lt;ul&gt; &lt;li&gt;&amp;quot;CAT&amp;quot;, &amp;quot;GID&amp;quot; : ID of the street block&lt;/li&gt; &lt;li&gt;&amp;quot;PROB_ACS&amp;quot; : Probability to belong to class ACS&lt;/li&gt; &lt;li&gt;&amp;quot;PROB_BARE&amp;quot; :&amp;nbsp;Probability to belong to class&amp;nbsp;BARE&lt;/li&gt; &lt;li&gt;&amp;quot;PROB_PLAN&amp;quot; :&amp;nbsp;Probability to belong to class PLAN&lt;/li&gt; &lt;li&gt;&amp;quot;PROB_UNPLA&amp;quot; :&amp;nbsp;Probability to belong to class UNPLAN&lt;/li&gt; &lt;li&gt;&amp;quot;PROB_VEG&amp;quot; :&amp;nbsp;Probability to belong to class VEG&lt;/li&gt; &lt;li&gt;&amp;quot;FIRST_LABE&amp;quot; : Class with the highest classification probability&lt;/li&gt; &lt;li&gt;&amp;quot;SEC_LABEL&amp;quot; : Class with the second highest classification probability&lt;/li&gt; &lt;li&gt;&amp;quot;FIRST_PROB&amp;quot; : Value of the highest classification probability&lt;/li&gt; &lt;li&gt;&amp;quot;SEC_PROB&amp;quot; : Value of the second highest classification probability&lt;/li&gt; &lt;li&gt;&amp;quot;UNCERTAIN&amp;quot; : Difference between&amp;nbsp;&amp;quot;FIRST_PROB&amp;quot; and&amp;nbsp;&amp;quot;SEC_PROB&amp;quot;&lt;/li&gt; &lt;li&gt;&amp;quot;BUILT_PERC&amp;quot; : Percentage of the street blocks covered by built-up (from land cover map)&lt;/li&gt; &lt;li&gt;&amp;quot;MAP_LABEL&amp;quot; : Final classification label with uncertainty and different density classes. Depending on the layer, the label is with or without manual corrections&lt;/li&gt; &lt;/ul&gt; &lt;p&gt;Legend classes label:&lt;/p&gt; &lt;ul&gt; &lt;li&gt;&amp;quot;VEG&amp;quot; :&amp;nbsp;Vegetation&lt;/li&gt; &lt;li&gt;&amp;quot;BARE&amp;quot;&amp;nbsp;:&amp;nbsp;Bare soils&lt;/li&gt; &lt;li&gt;&amp;quot;ACS&amp;quot; :&amp;nbsp;Non-residential built-up (administrative, commercial, services, etc.)&lt;/li&gt; &lt;li&gt;&amp;quot;PLAN&amp;quot; :&amp;nbsp;Planned residential built-up&lt;/li&gt; &lt;li&gt;&amp;quot;PLAN_LD&amp;quot; :&amp;nbsp;Planned residential low density built-up&lt;/li&gt; &lt;li&gt;&amp;quot;UNPLAN&amp;quot; :&amp;nbsp;Unplanned residential built-up&lt;/li&gt; &lt;li&gt;&amp;quot;UNPLAN_LD&amp;quot; :&amp;nbsp;Unplanned residential low density built-up&lt;/li&gt; &lt;li&gt;&amp;quot;UNCERT&amp;quot; : Uncertain classification&lt;/li&gt; &lt;li&gt;&amp;quot;WET&amp;quot; : Wetlands&lt;/li&gt; &lt;li&gt;&amp;quot;AGRI&amp;quot; : Agricultural land&lt;/li&gt; &lt;/ul&gt; &lt;p&gt;References:&lt;/p&gt; &lt;p&gt;[1] Grippa, Tais, 2018, &amp;quot;Mapping urban land use at street block level using OpenStreetMap, remote sensing data and spatial metrics&amp;quot;, &lt;em&gt;ISPRS Int. J. Geo-Inf.&lt;/em&gt;&amp;nbsp;&lt;strong&gt;2018&lt;/strong&gt;,&amp;nbsp;&lt;em&gt;7&lt;/em&gt;(7), 246.&amp;nbsp;&lt;a href="https://doi.org/10.3390/ijgi7070246"&gt;https://doi.org/10.3390/ijgi7070246&lt;/a&gt;&amp;nbsp;&lt;/p&gt; &lt;p&gt;[2]&amp;nbsp;Grippa, Tais. 2018. &amp;ldquo;Osm Street Blocks Extraction.&amp;rdquo; Zenodo. &lt;a href="https://doi.org/10.5281/zenodo.1290637"&gt;https://doi.org/10.5281/zenodo.1290637&lt;/a&gt;.&lt;/p&gt; &lt;p&gt;Funding:&amp;nbsp;&lt;/p&gt; &lt;p&gt;This dataset was&amp;nbsp;produced in the frame of two research project : MAUPP (&lt;a href="http://maupp.ulb.ac.be"&gt;http://maupp.ulb.ac.be&lt;/a&gt;)&amp;nbsp;and REACT (&lt;a href="http://react.ulb.be"&gt;http://react.ulb.be&lt;/a&gt;), funded by the&amp;nbsp;Belgian Federal Science Policy Office (&lt;a href="http://eo.belspo.be/About/Stereo3.aspx"&gt;BELSPO&lt;/a&gt;).&lt;/p&gt;</dct:description>
    <dct:description>The production of this dataset was founded by BELSPO (Belgian Federal Science Policy Office) in the frame of the STEREO III program, as part of the MAUPP (SR/00/304) and REACT (SR/00/337) project (http://maupp.ulb.ac.be and http://react.ulb.be/).</dct:description>
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