Update README.md

README.md

@@ -1,3 +1,82 @@
 ---
 license: cc-by-sa-4.0
+tags:
+- earth-observation
+- remote-sensing
+- sentinel-2
+- multi-spectral
+- satellite
+size_categories:
+- 1M<n<10M
 ---
+
+# Core-S2L1C (🥧 Pre-Release)
+
+Contains a global coverage of Sentinel-2 (Level 1C) patches, each of size 1,068 x 1,068 pixels.
+
+| Source | Sensing Type | Number of Patches | Patch Size | Total Pixels |
+|--------|--------------|-------------------|------------|--------------|
+|Sentinel-2 Level-1C |Optical Multispectral|TBC|TBC|TBC|
+
+## Content
+
+| Column | Details | Resolution |
+|--------|---------|------------|
+| B01 | Coastal aerosol, 442.7 nm (S2A), 442.3 nm (S2B) | 60m | 
+| B02 | Blue, 492.4 nm (S2A), 492.1 nm (S2B) | 10m | 
+| B03 | Green, 559.8 nm (S2A), 559.0 nm (S2B) | 10m | 
+| B04 | Red, 664.6 nm (S2A), 665.0 nm (S2B) | 10m | 
+| B05 | Vegetation red edge, 704.1 nm (S2A), 703.8 nm (S2B) | 20m | 
+| B06 | Vegetation red edge, 740.5 nm (S2A), 739.1 nm (S2B) | 20m | 
+| B07 | Vegetation red edge, 782.8 nm (S2A), 779.7 nm (S2B) | 20m | 
+| B08 | NIR, 832.8 nm (S2A), 833.0 nm (S2B) | 10m | 
+| B8A | Narrow NIR, 864.7 nm (S2A), 864.0 nm (S2B) | 20m | 
+| B09 | Water vapour, 945.1 nm (S2A), 943.2 nm (S2B) | 60m | 
+| B10 | SWIR – Cirrus, 1373.5 nm (S2A), 1376.9 nm (S2B) | 60m |
+| B11 | SWIR, 1613.7 nm (S2A), 1610.4 nm (S2B) | 20m | 
+| B12 | SWIR, 2202.4 nm (S2A), 2185.7 nm (S2B) | 20m | 
+| thumbnail | RGB composite [B04, B03, B02] saved as png | 10m | 
+
+## Spatial Coverage
+This is a global monotemporal dataset. Nearly every piece of Earth captured by Sentinel-2 is contained at least once in this dataset (and only once, excluding some marginal overlaps).
+
+The following figure demonstrates the spatial coverage (only black pixels are absent):
+![image/png](https://cdn-uploads.huggingface.co/production/uploads/6304c06eeb6d777a838eab63/2KTarfsM0a1dNYEbXriUH.png)
+
+## Example Use
+
+Interface scripts will be released soon.
+
+Here's a sneak peek with a thumbnail image:
+```python
+from fsspec.parquet import open_parquet_file
+import pyarrow.parquet as pq
+from io import BytesIO
+from PIL import Image
+
+PARQUET_FILE = 'part_03900' # parquet number
+ROW_INDEX = 42 # row number (about 500 per parquet)
+
+url = "https://huggingface.co/datasets/Major-TOM/Core-S2L1C/resolve/main/images/{}.parquet".format(PARQUET_FILE)
+with open_parquet_file(url,columns = ["thumbnail"]) as f:
+    with pq.ParquetFile(f) as pf:
+        first_row_group = pf.read_row_group(ROW_INDEX, columns=['thumbnail'])
+
+stream = BytesIO(first_row_group['thumbnail'][0].as_py())
+image = Image.open(stream)
+```
+
+## Cite
+[![arxiv](https://img.shields.io/badge/Open_Access-arxiv:2402.12095-b31b1b)](https://arxiv.org/abs/2402.12095/)
+```latex
+@inproceedings{Major_TOM,
+  title={Major TOM: Expandable Datasets for Earth Observation}, 
+  author={Alistair Francis and Mikolaj Czerkawski},
+  year={2024},
+  eprint={2402.12095},
+  archivePrefix={arXiv},
+  primaryClass={cs.CV}
+}
+```
+
+Powered by [Φ-lab, European Space Agency (ESA) 🛰️](https://huggingface.co/ESA-philab)