Dataset Open Access

Dakar very-high resolution land cover map

Tais Grippa; Stefanos Georganos


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    "description": "<p>This land cover map of Dakar (Senegal) was created from a Pl&eacute;iades very-high resolution imagery with a spatial resolution of 0.5 meter. The methodology followed a open-source semi-automated framework [1] that rely on <a href=\"https://grass.osgeo.org/\">GRASS GIS</a>&nbsp;using a local unsupervised optimization approach for the segmentation part [2-3].</p>\n\n<p>Description of the files:</p>\n\n<ul>\n\t<li>&quot;Landcover.zip&quot; :&nbsp;The direct output from the supervised classification using the Random Forest classifier.</li>\n\t<li>&quot;Landcover_Postclassif_Level8_Splitbuildings.zip&quot; : Post-processed version of the previous map (&quot;Landcover&quot;), with reduced misclassifications from the original classification (rule-based used to reclassify&nbsp;the errors, with a focus on built-up classes).</li>\n\t<li>&quot;Landcover_Postclassif_Level8_modalfilter3.zip&quot; : Smoothed version of the previous product (modal filter with window 3x3 applied on the &quot;Landcover_Postclassif_Level8_Splitbuildings&quot;).&nbsp;</li>\n\t<li>&quot;Landcover_Postclassif_Level9_Shadowsback.zip&quot; : Corresponds to the &quot;level8_Splitbuildings&quot; with shadows coming&nbsp;from the original classification.</li>\n\t<li>&quot;Dakar_legend_colors.txt&quot; : Text file providing the&nbsp;correspondance between the value of the pixels and the legend labels and a proposition of color to be used.</li>\n</ul>\n\n<p>&nbsp;</p>\n\n<p>References:</p>\n\n<p>[1]&nbsp;Grippa, Ta&iuml;s, Moritz Lennert, Benjamin Beaumont, Sabine Vanhuysse, Nathalie Stephenne, and El&eacute;onore Wolff. 2017. &ldquo;An Open-Source Semi-Automated Processing Chain for Urban Object-Based Classification.&rdquo; <em>Remote Sensing</em> 9 (4): 358. <a href=\"https://doi.org/10.3390/rs9040358\">https://doi.org/10.3390/rs9040358</a>.</p>\n\n<p>[2]&nbsp;Grippa, Tais, Stefanos Georganos, Sabine G. Vanhuysse, Moritz Lennert, and El&eacute;onore Wolff. 2017. &ldquo;A Local Segmentation Parameter Optimization Approach for Mapping Heterogeneous Urban Environments Using VHR Imagery.&rdquo; In <em>Proceedings Volume 10431, Remote Sensing Technologies and Applications in Urban Environments II.</em>, edited by Wieke Heldens, Nektarios Chrysoulakis, Thilo Erbertseder, and Ying Zhang, 20. SPIE. <a href=\"https://doi.org/10.1117/12.2278422\">https://doi.org/10.1117/12.2278422</a>.</p>\n\n<p>[3]&nbsp;Georganos, Stefanos, Ta&iuml;s Grippa, Moritz Lennert, Sabine Vanhuysse, and Eleonore Wolff. 2017. &ldquo;SPUSPO: Spatially Partitioned Unsupervised Segmentation Parameter Optimization for Efficiently Segmenting Large Heterogeneous Areas.&rdquo; In <em>Proceedings of the 2017 Conference on Big Data from Space (BiDS&rsquo;17)</em>.</p>\n\n<p>&nbsp;</p>\n\n<p>Founding:&nbsp;</p>\n\n<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>", 
    "contributors": [
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        "orcid": "0000-0001-7275-7967", 
        "type": "Other", 
        "name": "Yann Forget"
      }, 
      {
        "orcid": "0000-0001-6226-1968", 
        "type": "Other", 
        "name": "Sabine Vanhuysse"
      }, 
      {
        "orcid": "0000-0002-8564-4942", 
        "type": "Other", 
        "name": "\u00c9l\u00e9onore Wolff"
      }, 
      {
        "orcid": "0000-0002-0819-7755", 
        "type": "Other", 
        "name": "Catherine Linard"
      }, 
      {
        "orcid": "0000-0003-3708-3359", 
        "type": "Other", 
        "name": "Marius Gilbert"
      }, 
      {
        "orcid": "0000-0001-5487-6137", 
        "type": "Other", 
        "name": "Michal Shimoni"
      }, 
      {
        "orcid": "0000-0002-7270-941X", 
        "type": "Other", 
        "name": "Andrew Tatem"
      }, 
      {
        "type": "Other", 
        "name": "Nicole Van Lipzig"
      }, 
      {
        "orcid": "0000-0002-9603-9596", 
        "type": "Other", 
        "name": "Marco millones"
      }, 
      {
        "type": "Other", 
        "name": "Benoit Parmentier"
      }, 
      {
        "orcid": "0000-0002-0850-1913", 
        "type": "Other", 
        "name": "Brian McGill"
      }, 
      {
        "orcid": "0000-0002-7364-710X", 
        "type": "Other", 
        "name": "Oscar Brousse"
      }, 
      {
        "orcid": "0000-0003-3237-4077", 
        "type": "Other", 
        "name": "Matthias Demuzere"
      }, 
      {
        "type": "Other", 
        "name": "Daniel C Casey"
      }
    ], 
    "title": "Dakar very-high resolution land cover map", 
    "license": {
      "id": "MIT"
    }, 
    "notes": "The production of this dataset was founded by BELSPO (Belgian Federal Science Policy Office) in the frame of the\nSTEREO III program, as part of the MAUPP (SR/00/304) and REACT (SR/00/337) project (http://maupp.ulb.ac.be\nand http://react.ulb.be/).", 
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