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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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  <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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  <thead>
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  <tr>
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- <th class="tg-zv4m"></th>
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- <th class="tg-zv4m">Class</th>
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- <th class="tg-8jgo">Freq.-train(%)</th>
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- <th class="tg-8jgo">Freq.-test(%)</th>
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- <th class="tg-zv4m"></th>
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- <th class="tg-zv4m">Class</th>
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- <th class="tg-8jgo">Freq.-train(%)</th>
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- <th class="tg-8jgo">Freq.-test(%)</th>
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- <th class="tg-zv4m"></th>
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- <th class="tg-zv4m">Class</th>
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- <th class="tg-8jgo">Freq.-train(%)</th>
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- <th class="tg-8jgo">Freq.-test(%)</th>
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- <th class="tg-zv4m"></th>
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- <th class="tg-zv4m">Class</th>
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- <th class="tg-8jgo">Freq.-train(%)</th>
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- <th class="tg-8jgo">Freq.-test(%)</th>
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  </tr>
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  </thead>
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  <tbody>
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  <tr>
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- <td class="tg-2e1p"></td>
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- <td class="tg-km2t">(1) Building</td>
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- <td class="tg-8jgo">8.14</td>
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- <td class="tg-8jgo">3.26</td>
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- <td class="tg-j3z6"></td>
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- <td class="tg-km2t">(6) Coniferous</td>
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- <td class="tg-8jgo">2.74</td>
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- <td class="tg-8jgo">10.24</td>
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- <td class="tg-pop6"></td>
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- <td class="tg-km2t">(11) Agricultural Land</td>
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- <td class="tg-8jgo">10.98</td>
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- <td class="tg-8jgo">18.19</td>
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- <td class="tg-7f0h"></td>
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- <td class="tg-km2t">(16) Mixed</td>
89
- <td class="tg-8jgo">0.05</td>
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- <td class="tg-8jgo">0.12</td>
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  </tr>
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  <tr>
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- <td class="tg-9efv"></td>
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- <td class="tg-km2t">(2) Pervious surface</td>
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- <td class="tg-8jgo">8.25</td>
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- <td class="tg-8jgo">3.82</td>
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- <td class="tg-edjf"></td>
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- <td class="tg-km2t">(7) Deciduous</td>
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- <td class="tg-8jgo">15.38</td>
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- <td class="tg-8jgo">24.79</td>
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- <td class="tg-3chm"></td>
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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-40e0"></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-8jgo">-</td>
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  </tr>
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  <tr>
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- <td class="tg-3m6m"></td>
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- <td class="tg-km2t">(3) Impervious surface</td>
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- <td class="tg-8jgo">13.72</td>
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- <td class="tg-8jgo">5.87</td>
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- <td class="tg-jmwx"></td>
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- <td class="tg-km2t">(8) Brushwood</td>
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- <td class="tg-8jgo">6.95</td>
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- <td class="tg-8jgo">3.81</td>
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- <td class="tg-kors"></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-qwc7"></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>
127
  </tr>
128
  <tr>
129
- <td class="tg-r3rw"></td>
130
- <td class="tg-km2t">(4) Bare soil</td>
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- <td class="tg-8jgo">3.47</td>
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- <td class="tg-8jgo">1.6</td>
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- <td class="tg-69kt"></td>
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- <td class="tg-km2t">(9) Vineyard</td>
135
- <td class="tg-8jgo">3.13</td>
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- <td class="tg-8jgo">2.55</td>
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- <td class="tg-oe15"></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-8jgo">-</td>
141
- <td class="tg-oedl"></td>
142
- <td class="tg-km2t">(19) Other</td>
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- <td class="tg-8jgo">0.14</td>
144
- <td class="tg-8jgo">0.04</td>
145
  </tr>
146
  <tr>
147
- <td class="tg-9xgv"></td>
148
- <td class="tg-km2t">(5) Water</td>
149
- <td class="tg-8jgo">4.88</td>
150
- <td class="tg-8jgo">3.17</td>
151
- <td class="tg-0u95"></td>
152
- <td class="tg-km2t">(10) Herbaceous vegetation</td>
153
- <td class="tg-8jgo">17.84</td>
154
- <td class="tg-8jgo">19.76</td>
155
- <td class="tg-x5zi"></td>
156
- <td class="tg-km2t">(15) Clear cut</td>
157
- <td class="tg-8jgo">0.15</td>
158
- <td class="tg-8jgo">0.82</td>
159
- <td class="tg-zv4m"></td>
160
- <td class="tg-zv4m"></td>
161
- <td class="tg-8jgo"></td>
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- <td class="tg-8jgo"></td>
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
163
  </tr>
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  </tbody>
165
  </table>
 
166
  <br><br>
167
 
168
  ## Dataset Structure
 
20
  <br>
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22
  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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+
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  overflow:hidden;padding:10px 5px;word-break:normal;}
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  .tg th{border-color:black;border-style:solid;border-width:1px;font-family:Arial, sans-serif;font-size:14px;
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  font-weight:normal;overflow:hidden;padding:10px 5px;word-break:normal;}
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  </style>
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  <table class="tg">
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  <thead>
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  <tr>
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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>
58
+ <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>
61
+ <th class="tg-c3ow">Freq.-train (%)</th>
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+ <th class="tg-c3ow">Freq.-test (%)</th>
 
 
 
 
 
 
 
 
63
  </tr>
64
  </thead>
65
  <tbody>
66
  <tr>
67
+ <td class="tg-2yr9"></td>
68
+ <td class="tg-fymr">(1) Building</td>
69
+ <td class="tg-c3ow">8.14</td>
70
+ <td class="tg-c3ow">3.26</td>
71
+ <td class="tg-hgqe"></td>
72
+ <td class="tg-fymr">(6) Coniferous</td>
73
+ <td class="tg-c3ow">2.74</td>
74
+ <td class="tg-c3ow">10.24</td>
75
+ </tr>
76
+ <tr>
77
+ <td class="tg-r69p"></td>
78
+ <td class="tg-fymr">(2) Pervious surface</td>
79
+ <td class="tg-c3ow">8.25</td>
80
+ <td class="tg-c3ow">3.82</td>
81
+ <td class="tg-ey8z"></td>
82
+ <td class="tg-fymr">(7) Deciduous</td>
83
+ <td class="tg-c3ow">15.38</td>
84
+ <td class="tg-c3ow">24.79</td>
85
+ </tr>
86
+ <tr>
87
+ <td class="tg-31h2"></td>
88
+ <td class="tg-fymr">(3) Impervious surface</td>
89
+ <td class="tg-c3ow">13.72</td>
90
+ <td class="tg-c3ow">5.87</td>
91
+ <td class="tg-jucn"></td>
92
+ <td class="tg-fymr">(8) Brushwood</td>
93
+ <td class="tg-c3ow">6.95</td>
94
+ <td class="tg-c3ow">3.81</td>
95
+ </tr>
96
+ <tr>
97
+ <td class="tg-9gxo"></td>
98
+ <td class="tg-fymr">(4) Bare soil</td>
99
+ <td class="tg-c3ow">3.47</td>
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+ <td class="tg-c3ow">1.6</td>
101
+ <td class="tg-6uad"></td>
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+ <td class="tg-fymr">(9) Vineyard</td>
103
+ <td class="tg-c3ow">3.13</td>
104
+ <td class="tg-c3ow">2.55</td>
105
  </tr>
106
  <tr>
107
+ <td class="tg-9crb"></td>
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+ <td class="tg-fymr">(5) Water</td>
109
+ <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>
112
+ <td class="tg-fymr">(10) Herbaceous vegetation</td>
113
+ <td class="tg-c3ow">17.84</td>
114
+ <td class="tg-c3ow">19.76</td>
 
 
 
 
 
 
 
 
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  </tr>
116
  <tr>
117
+ <td class="tg-0pky"></td>
118
+ <td class="tg-0pky">Class</td>
119
+ <td class="tg-c3ow">Freq.-train (%)</td>
120
+ <td class="tg-c3ow">Freq.-test (%)</td>
121
+ <td class="tg-0pky"></td>
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+ <td class="tg-0pky">Class</td>
123
+ <td class="tg-c3ow">Freq.-train (%)</td>
124
+ <td class="tg-c3ow">Freq.-test (%)</td>
 
 
 
 
 
 
 
 
125
  </tr>
126
  <tr>
127
+ <td class="tg-lq4u"></td>
128
+ <td class="tg-fymr">(11) Agricultural Land</td>
129
+ <td class="tg-c3ow">10.98</td>
130
+ <td class="tg-c3ow">18.19</td>
131
+ <td class="tg-fvzd"></td>
132
+ <td class="tg-fymr">(16) Mixed</td>
133
+ <td class="tg-c3ow">0.05</td>
134
+ <td class="tg-c3ow">0.12</td>
 
 
 
 
 
 
 
 
135
  </tr>
136
  <tr>
137
+ <td class="tg-9236"></td>
138
+ <td class="tg-fymr">(12) Plowed land</td>
139
+ <td class="tg-c3ow">3.88</td>
140
+ <td class="tg-c3ow">1.81</td>
141
+ <td class="tg-ofy8"></td>
142
+ <td class="tg-fymr">(17) Ligneous</td>
143
+ <td class="tg-c3ow">0.01</td>
144
+ <td class="tg-c3ow">-</td>
145
+ </tr>
146
+ <tr>
147
+ <td class="tg-14ls"></td>
148
+ <td class="tg-fymr">(13) Swimming pool</td>
149
+ <td class="tg-c3ow">0.01</td>
150
+ <td class="tg-c3ow">0.02</td>
151
+ <td class="tg-c3zl"></td>
152
+ <td class="tg-fymr">(18) Greenhouse</td>
153
+ <td class="tg-c3ow">0.12</td>
154
+ <td class="tg-c3ow">0.15</td>
155
+ </tr>
156
+ <tr>
157
+ <td class="tg-jxgv"></td>
158
+ <td class="tg-fymr">(14) Snow</td>
159
+ <td class="tg-c3ow">0.15</td>
160
+ <td class="tg-c3ow">-</td>
161
+ <td class="tg-0pky"></td>
162
+ <td class="tg-fymr">(19) Other</td>
163
+ <td class="tg-c3ow">0.14</td>
164
+ <td class="tg-c3ow">0.04</td>
165
+ </tr>
166
+ <tr>
167
+ <td class="tg-0l2y"></td>
168
+ <td class="tg-fymr">(15) Clear cut</td>
169
+ <td class="tg-c3ow">0.15</td>
170
+ <td class="tg-c3ow">0.82</td>
171
+ <td class="tg-0pky"></td>
172
+ <td class="tg-0pky"></td>
173
+ <td class="tg-0pky"></td>
174
+ <td class="tg-0pky"></td>
175
  </tr>
176
  </tbody>
177
  </table>
178
+
179
  <br><br>
180
 
181
  ## Dataset Structure