Datasets:
adjustments to dataset chart
Browse files
README.md
CHANGED
|
@@ -32,11 +32,12 @@ The dataset is an add-on to the globally sampled SSL4EO-S12 pre-training dataset
|
|
| 32 |
|
| 33 |
## Data Characteristics
|
| 34 |
|
| 35 |
-
*SSL4EO-EU-Forest* provides an additional downstream task for binary semantic segmentation of forest land cover as follows:
|
| 36 |
-
- It curates 16K spatial patches (264x264 pixels) of Sentinel-2 L2A imagery (12 bands upsampled to 10m pixel resolution) over European forests.
|
| 37 |
- Each geolocation contains four Sentinel-2 timestamps from all seasons of year 2018.
|
| 38 |
- The cloud cover in each scene is below 10%.
|
| 39 |
-
- Binary forest masks have been derived from the 2018 HRL dataset (https://doi.org/10.2909/486f77da-d605-423e-93a9-680760ab6791) available through the Copernicus Land Monitoring Service, cf. https://land.copernicus.eu/en/products/high-resolution-layer-forests-and-tree-cover/dominant-leaf-type-2018-raster-10-m-europe-yearly .
|
|
|
|
| 40 |
|
| 41 |
## Spatial Coverage
|
| 42 |
|
|
@@ -44,4 +45,4 @@ The dataset is an add-on to the globally sampled SSL4EO-S12 pre-training dataset
|
|
| 44 |
|
| 45 |
## Funding
|
| 46 |
|
| 47 |
-
This work was carried under the *EvoLand* project. This project has received funding from the European Union's Horizon Europe research and innovation programme under grant agreement No. `101082130`.
|
|
|
|
| 32 |
|
| 33 |
## Data Characteristics
|
| 34 |
|
| 35 |
+
*SSL4EO-EU-Forest* provides an additional downstream task (85 GB) for binary semantic segmentation of forest land cover as follows:
|
| 36 |
+
- `images/` sub-directory: It curates 16K spatial patches (264x264 pixels) of Sentinel-2 L2A imagery (`UInt16` GeoTIFF, 12 bands upsampled to 10m pixel resolution) over European forests.
|
| 37 |
- Each geolocation contains four Sentinel-2 timestamps from all seasons of year 2018.
|
| 38 |
- The cloud cover in each scene is below 10%.
|
| 39 |
+
- `masks/` sub-directory: Binary forest masks (`1`: tree, `0`: background, `Byte` GeoTIFF) have been derived from the 2018 HRL dataset (https://doi.org/10.2909/486f77da-d605-423e-93a9-680760ab6791) available through the Copernicus Land Monitoring Service, cf. https://land.copernicus.eu/en/products/high-resolution-layer-forests-and-tree-cover/dominant-leaf-type-2018-raster-10-m-europe-yearly .
|
| 40 |
+
- Data of a geolocation are placed in numbered sub-directories (e.g. `0017618`) of `images/` and `masks/`, respectively. Each of those for the `images/` directory contains four directories indicating the four seasons as per convention by Sentinel-2, e.g., `20180520T094031_20180520T094033_T35VMH` where the sensing start time was approx. May 20, 2018 at 9.41am UTC for geolocation defined by tile ID `T35VMH`, cf. https://sentiwiki.copernicus.eu/web/s2-products .
|
| 41 |
|
| 42 |
## Spatial Coverage
|
| 43 |
|
|
|
|
| 45 |
|
| 46 |
## Funding
|
| 47 |
|
| 48 |
+
This work was carried under the *EvoLand* project, cf. https://www.evo-land.eu . This project has received funding from the European Union's Horizon Europe research and innovation programme under grant agreement No. `101082130`.
|