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Ouagadougou land use map at street block level

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

ShareScore

44/100

Overall dataset sharing score

Score breakdown

These five areas show where the dataset supports — or may limit — practical reuse.

Stewardship
8
Harmonization
4
Access
20
Reuse readiness
8
Engagement
4

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