Datasets:
IGNF
/

Modalities:
Image
ArXiv:
License:
AGarioud commited on
Commit
195fabf
1 Parent(s): 2335b2e

Update README.md

Browse files
Files changed (1) hide show
  1. README.md +2 -5
README.md CHANGED
@@ -37,7 +37,7 @@ The following zip files and folders are available :<br>
37
 
38
  ****
39
 
40
- The Sentinel Time Series are provided for each patch in HDF format (.h5) with several datasets :
41
 
42
 
43
  <code style="color: #c7254e; background-color: #f9f2f4; border-radius: 0;">sen-1-asc-data</code> : Sentinel-1 ascending orbit backscattering coefficient data (Tx2x6x6) | Channels: VV, VH <br>
@@ -48,11 +48,8 @@ The Sentinel Time Series are provided for each patch in HDF format (.h5) with se
48
  <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>
49
  <code style="color: #c7254e; background-color: #f9f2f4; border-radius: 0;">sen-2-products</code> : Sentinel-2 product names (T) <br>
50
 
51
- Sentinel product names follow the official naming convention from the European Space Agency.
52
- ****
53
-
54
  To access the Sentinel Time Series data in python you can use :
55
-
56
  ```
57
  import h5py
58
  with h5py.File(path/to/file.h5, 'r') as h5file:
 
37
 
38
  ****
39
 
40
+ The **Sentinel Time Series** are provided for each patch in HDF format (.h5) with several datasets :
41
 
42
 
43
  <code style="color: #c7254e; background-color: #f9f2f4; border-radius: 0;">sen-1-asc-data</code> : Sentinel-1 ascending orbit backscattering coefficient data (Tx2x6x6) | Channels: VV, VH <br>
 
48
  <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>
49
  <code style="color: #c7254e; background-color: #f9f2f4; border-radius: 0;">sen-2-products</code> : Sentinel-2 product names (T) <br>
50
 
51
+ Sentinel product names follow the official naming convention from the European Space Agency.<br>
 
 
52
  To access the Sentinel Time Series data in python you can use :
 
53
  ```
54
  import h5py
55
  with h5py.File(path/to/file.h5, 'r') as h5file: