Datasets:
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README.md
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@@ -20,149 +20,162 @@ More than 50,000 Sentinel-2 acquisitions with 10 m spatial resolution are availa
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The dataset covers 50 spatial domains, encompassing 916 areas spanning 817 km². This dataset provides a robust foundation for advancing land cover mapping techniques.<br><br>
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<td class="tg-km2t">(12) Plowed land</td>
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<td class="tg-8jgo">3.88</td>
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<td class="tg-8jgo">1.81</td>
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<td class="tg-km2t">(17) Ligneous</td>
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<td class="tg-8jgo">0.01</td>
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<td class="tg-km2t">(13) Swimming pool</td>
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<td class="tg-8jgo">0.01</td>
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<td class="tg-8jgo">0.02</td>
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<td class="tg-km2t">(18) Greenhouse</td>
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<td class="tg-8jgo">0.12</td>
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<td class="tg-8jgo">0.15</td>
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<td class="tg-km2t">(14) Snow</td>
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<td class="tg-8jgo">0.15</td>
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<td class="tg-km2t">(19) Other</td>
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<td class="tg-8jgo">0.14</td>
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<td class="tg-8jgo">0.04</td>
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<br><br>
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## Dataset Structure
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<br>
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The dataset covers 50 spatial domains, encompassing 916 areas spanning 817 km². This dataset provides a robust foundation for advancing land cover mapping techniques.<br><br>
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<style type="text/css">
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.tg {border-collapse:collapse;border-spacing:0;}
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.tg td{border-color:black;border-style:solid;border-width:1px;font-family:Arial, sans-serif;font-size:14px;
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overflow:hidden;padding:10px 5px;word-break:normal;}
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</style>
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<th class="tg-0pky"></th>
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<th class="tg-0pky">Class</th>
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<th class="tg-c3ow">Freq.-train (%)</th>
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<th class="tg-c3ow">Freq.-test (%)</th>
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<th class="tg-0pky"></th>
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<th class="tg-0pky">Class</th>
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<th class="tg-c3ow">Freq.-train (%)</th>
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<th class="tg-c3ow">Freq.-test (%)</th>
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<td class="tg-fymr">(1) Building</td>
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<td class="tg-c3ow">8.14</td>
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<td class="tg-c3ow">3.26</td>
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<td class="tg-hgqe"></td>
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<td class="tg-fymr">(6) Coniferous</td>
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<td class="tg-c3ow">2.74</td>
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<td class="tg-c3ow">10.24</td>
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<td class="tg-r69p"></td>
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<td class="tg-fymr">(2) Pervious surface</td>
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<td class="tg-c3ow">8.25</td>
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<td class="tg-c3ow">3.82</td>
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<td class="tg-ey8z"></td>
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<td class="tg-fymr">(7) Deciduous</td>
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<td class="tg-c3ow">15.38</td>
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<td class="tg-c3ow">24.79</td>
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<td class="tg-31h2"></td>
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<td class="tg-fymr">(3) Impervious surface</td>
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<td class="tg-c3ow">13.72</td>
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<td class="tg-c3ow">5.87</td>
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<td class="tg-jucn"></td>
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<td class="tg-fymr">(8) Brushwood</td>
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<td class="tg-c3ow">6.95</td>
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<td class="tg-c3ow">3.81</td>
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<td class="tg-fymr">(4) Bare soil</td>
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<td class="tg-c3ow">3.47</td>
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<td class="tg-c3ow">1.6</td>
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<td class="tg-6uad"></td>
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<td class="tg-fymr">(9) Vineyard</td>
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<td class="tg-c3ow">3.13</td>
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<td class="tg-c3ow">2.55</td>
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</tr>
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<td class="tg-9crb"></td>
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<td class="tg-fymr">(5) Water</td>
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<td class="tg-c3ow">4.88</td>
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<td class="tg-c3ow">3.17</td>
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<td class="tg-zqgf"></td>
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<td class="tg-fymr">(10) Herbaceous vegetation</td>
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<td class="tg-c3ow">17.84</td>
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<td class="tg-c3ow">19.76</td>
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</tr>
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<td class="tg-0pky">Class</td>
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<td class="tg-c3ow">Freq.-train (%)</td>
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<td class="tg-c3ow">Freq.-test (%)</td>
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<td class="tg-0pky">Class</td>
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<td class="tg-c3ow">Freq.-train (%)</td>
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</tr>
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<td class="tg-lq4u"></td>
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<td class="tg-fymr">(11) Agricultural Land</td>
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<td class="tg-c3ow">10.98</td>
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<td class="tg-c3ow">18.19</td>
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<td class="tg-fymr">(16) Mixed</td>
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<td class="tg-c3ow">0.05</td>
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<td class="tg-c3ow">0.12</td>
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</tr>
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<td class="tg-fymr">(12) Plowed land</td>
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<td class="tg-c3ow">3.88</td>
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<td class="tg-c3ow">1.81</td>
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<td class="tg-fymr">(17) Ligneous</td>
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<td class="tg-c3ow">0.01</td>
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<td class="tg-fymr">(13) Swimming pool</td>
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<td class="tg-c3ow">0.01</td>
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<td class="tg-fymr">(18) Greenhouse</td>
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<td class="tg-c3ow">0.12</td>
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<td class="tg-c3ow">0.15</td>
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<td class="tg-fymr">(14) Snow</td>
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<td class="tg-c3ow">0.15</td>
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<td class="tg-fymr">(19) Other</td>
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<td class="tg-c3ow">0.14</td>
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<td class="tg-c3ow">0.04</td>
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<td class="tg-0l2y"></td>
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<td class="tg-fymr">(15) Clear cut</td>
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<td class="tg-c3ow">0.15</td>
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<td class="tg-c3ow">0.82</td>
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<br><br>
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## Dataset Structure
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