Datasets:

tacofoundation
/

cloudsen12

Modalities:

Languages:

Tags:

image-segmentation

License:

Dataset card Files Files and versions Community

csaybar commited on Jan 4

Commit

aa3a400

·

verified ·

1 Parent(s): 3a9b90b

Update README.md

Files changed (1) hide show

README.md +3 -1

README.md CHANGED Viewed

@@ -46,7 +46,7 @@ repository.
 - **`cloudsen12-l2a`**: Similar to cloudsen12-l1c but based on Sentinel-2 Level-2A data as processed by Google Earth Engine.
-- **`cloudsen12-extra`**: A supplementary collection of metadata to enhance contextual understanding of landscapes. Cloud masks from multiple sources have been normalized to align with the CloudSEN12 class schema. This mode includes:
   - **`elevation:`** Elevation data (meters) sourced from the Copernicus DEM GLO-30.
   - **`lc10:`** ESA WorldCover 10m v100 land cover product.
   - **`vv:`** Normalized Sentinel-1 Global Backscatter Model Land Surface (VV polarization).
@@ -351,3 +351,5 @@ In addition to the **`stac`** and **`rai`** fields, this dataset includes the fo
 | `cloud_shadow_percentage`   | Percentage of cloud shadows in the ROI estimated by the annotator for the `high` label. For `scribble` and `nolabel` labels, this value is derived from UNetMobV2-V1 predictions. |
 | `clear_percentage`          | Percentage of clear sky in the ROI estimated by the annotator for the `high` label. For `scribble` and `nolabel` labels, this value is derived from UNetMobV2-V1 predictions. |

 - **`cloudsen12-l2a`**: Similar to cloudsen12-l1c but based on Sentinel-2 Level-2A data as processed by Google Earth Engine.
+- **`cloudsen12-extra`**: A supplementary collection of metadata to enhance contextual understanding of landscapes. Cloud masks from multiple sources have **NOT** been normalized to align with the CloudSEN12 class schema. This mode includes:
   - **`elevation:`** Elevation data (meters) sourced from the Copernicus DEM GLO-30.
   - **`lc10:`** ESA WorldCover 10m v100 land cover product.
   - **`vv:`** Normalized Sentinel-1 Global Backscatter Model Land Surface (VV polarization).
 | `cloud_shadow_percentage`   | Percentage of cloud shadows in the ROI estimated by the annotator for the `high` label. For `scribble` and `nolabel` labels, this value is derived from UNetMobV2-V1 predictions. |
 | `clear_percentage`          | Percentage of clear sky in the ROI estimated by the annotator for the `high` label. For `scribble` and `nolabel` labels, this value is derived from UNetMobV2-V1 predictions. |
+![image/png](https://cdn-uploads.huggingface.co/production/uploads/6402474cfa1acad600659e92/G-2XQpzhZhXfs-x6_6TwP.png)