--- license: cc-by-sa-4.0 tags: - earth-observation - remote-sensing - sentinel-2 - multi-spectral - satellite size_categories: - 1M 2.564 Trillion | ## 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 | | B11 | SWIR, 1613.7 nm (S2A), 1610.4 nm (S2B) | 20m | | B12 | SWIR, 2202.4 nm (S2A), 2185.7 nm (S2B) | 20m | | cloud_mask | Cloud Mask produced by SEnSeI | 10m | | 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-S2L2A/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)