Update README.md
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README.md
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@@ -35,7 +35,6 @@ The following zip files and folders are available :<br>
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📦 **geojson** (from the original dataset): vector file providing geographical location of the patches.<br>
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📦 **split** (from the original dataset): train, val and tests patches split.<br>
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Sentinel product names follow the official naming convention from the European Space Agency.
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****
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The Sentinel Time Series are provided for each patch in HDF format (.h5) with several datasets :
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@@ -48,6 +47,8 @@ The Sentinel Time Series are provided for each patch in HDF format (.h5) with se
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<code style="color: #c7254e; background-color: #f9f2f4; border-radius: 0;">sen-2-data</code> : Sentinel-2 Level-2 BOA reflectances (Tx10x6x6) | Channels: B02,B03,B04,B05,B06,B07,B08,B8A,B11,B12 <br>
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<code style="color: #c7254e; background-color: #f9f2f4; border-radius: 0;">sen-2-masks</code> : Sentinel-2 cloud cover masks (Tx2x6x6) | Channels: snow probability, cloud probability <br>
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<code style="color: #c7254e; background-color: #f9f2f4; border-radius: 0;">sen-2-products</code> : Sentinel-2 product names (T) <br>
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****
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To access the Sentinel Time Series data in python you can use :
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📦 **geojson** (from the original dataset): vector file providing geographical location of the patches.<br>
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📦 **split** (from the original dataset): train, val and tests patches split.<br>
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****
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The Sentinel Time Series are provided for each patch in HDF format (.h5) with several datasets :
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<code style="color: #c7254e; background-color: #f9f2f4; border-radius: 0;">sen-2-data</code> : Sentinel-2 Level-2 BOA reflectances (Tx10x6x6) | Channels: B02,B03,B04,B05,B06,B07,B08,B8A,B11,B12 <br>
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<code style="color: #c7254e; background-color: #f9f2f4; border-radius: 0;">sen-2-masks</code> : Sentinel-2 cloud cover masks (Tx2x6x6) | Channels: snow probability, cloud probability <br>
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<code style="color: #c7254e; background-color: #f9f2f4; border-radius: 0;">sen-2-products</code> : Sentinel-2 product names (T) <br>
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Sentinel product names follow the official naming convention from the European Space Agency.
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****
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To access the Sentinel Time Series data in python you can use :
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