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tacofoundation
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cloudsen12

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image-segmentation

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Dataset card Files Files and versions

csaybar commited on Jan 4, 2025

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@@ -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)