Datasets:
IGNF
/

Modalities:
Image
ArXiv:
License:
AGarioud commited on
Commit
02b73ca
·
verified ·
1 Parent(s): 147d0b6

Update README.md

Browse files
Files changed (1) hide show
  1. README.md +3 -3
README.md CHANGED
@@ -37,6 +37,9 @@ The following zip files and folders are available :<br>
37
  📦 **geojson** (from the original dataset): vector file providing geographical location of the patches.<br>
38
  📦 **split** (from the original dataset): train, val and tests patches split.<br>
39
 
 
 
 
40
  The Sentinel Time Series are provided for each patch in HDF format (.h5) with several datasets :
41
 
42
  `sen-1-asc-data` : Sentinel-1 ascending orbit backscattering coefficient data (Tx2x6x6) | Channels: VV, VH <br>
@@ -48,8 +51,6 @@ The Sentinel Time Series are provided for each patch in HDF format (.h5) with se
48
  `sen-2-data` : Sentinel-2 Level-2 BOA reflectances (Tx10x6x6) | Channels: B02,B03,B04,B05,B06,B07,B08,B8A,B11,B12 <br>
49
  `sen-2-masks` : Sentinel-2 cloud cover masks (Tx2x6x6) | Channels: snow probability, cloud probability <br>
50
  `sen-2-products` : Sentinel-2 product names (T) <br>
51
-
52
- Sentinel product names follow the official naming convention from the European SPace Agency.
53
  ****
54
 
55
  To access the Sentinel Time Series data in python you can use :
@@ -66,7 +67,6 @@ with h5py.File(path/to/h5/file, 'r') as h5:
66
  sen_2_masks = f['sen-2-masks'][:]
67
 
68
  ```
69
-
70
  ****
71
 
72
  ### Licence
 
37
  📦 **geojson** (from the original dataset): vector file providing geographical location of the patches.<br>
38
  📦 **split** (from the original dataset): train, val and tests patches split.<br>
39
 
40
+ Sentinel product names follow the official naming convention from the European Space Agency.
41
+ ****
42
+
43
  The Sentinel Time Series are provided for each patch in HDF format (.h5) with several datasets :
44
 
45
  `sen-1-asc-data` : Sentinel-1 ascending orbit backscattering coefficient data (Tx2x6x6) | Channels: VV, VH <br>
 
51
  `sen-2-data` : Sentinel-2 Level-2 BOA reflectances (Tx10x6x6) | Channels: B02,B03,B04,B05,B06,B07,B08,B8A,B11,B12 <br>
52
  `sen-2-masks` : Sentinel-2 cloud cover masks (Tx2x6x6) | Channels: snow probability, cloud probability <br>
53
  `sen-2-products` : Sentinel-2 product names (T) <br>
 
 
54
  ****
55
 
56
  To access the Sentinel Time Series data in python you can use :
 
67
  sen_2_masks = f['sen-2-masks'][:]
68
 
69
  ```
 
70
  ****
71
 
72
  ### Licence