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README.md
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@@ -40,7 +40,7 @@ The following archive files and folders are available :<br>
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The Sentinel Time Series are provided for each patch in HDF format (.h5) with several datasets :
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`sen-1-asc-data` : Sentinel-1 ascending orbit backscattering coefficient data (Tx2x6x6) | Channels: VV, VH <br>
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`sen-1-asc-products` : Sentinel-1 ascending orbit product names (T)
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`sen-1-des-data`: Sentinel-1 descending orbit backscattering coefficient data (Tx2x6x6) | Channels: VV, VH <br>
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`sen-1-des-data` : Sentinel-1 ascending orbit product names (T) <br>
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@@ -49,21 +49,18 @@ The Sentinel Time Series are provided for each patch in HDF format (.h5) with se
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`sen-2-masks` : Sentinel-2 cloud cover masks (Tx2x6x6) | Channels: snow probability, cloud probability <br>
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`sen-2-products` : Sentinel-2 product names (T) <br>
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****
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To access the data in python you can use :
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```
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import h5py
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with h5py.File(path/to/h5/file, 'r') as h5:
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sen_1_asc_data = f['sen-1-asc-data'][:]
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sen_1_asc_products = f['sen-1-asc-products'][:]
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sen_1_des_data = f['sen-1-des-data'][:]
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sen_1_des_products = f['sen-1-des-products'][:]
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sen_2_data = f['sen-2-data'][:]
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sen_2_products = f['sen-2-products'][:]
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sen_2_masks = f['sen-2-masks'][:]
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This dataset is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
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### Contact
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The Sentinel Time Series are provided for each patch in HDF format (.h5) with several datasets :
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`sen-1-asc-data` : Sentinel-1 ascending orbit backscattering coefficient data (Tx2x6x6) | Channels: VV, VH <br>
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`sen-1-asc-products` : Sentinel-1 ascending orbit product names (T) <br>
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`sen-1-des-data`: Sentinel-1 descending orbit backscattering coefficient data (Tx2x6x6) | Channels: VV, VH <br>
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`sen-1-des-data` : Sentinel-1 ascending orbit product names (T) <br>
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`sen-2-masks` : Sentinel-2 cloud cover masks (Tx2x6x6) | Channels: snow probability, cloud probability <br>
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`sen-2-products` : 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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```
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import h5py
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with h5py.File(path/to/h5/file, 'r') as h5:
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sen_1_asc_data = f['sen-1-asc-data'][:]
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sen_1_asc_products = f['sen-1-asc-products'][:]
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sen_1_des_data = f['sen-1-des-data'][:]
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sen_1_des_products = f['sen-1-des-products'][:]
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sen_2_data = f['sen-2-data'][:]
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sen_2_products = f['sen-2-products'][:]
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sen_2_masks = f['sen-2-masks'][:]
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This dataset is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
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### Contact
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If you have any questions, issues or feedback, you can contact us at: ai-challenge@ign.fr
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