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unknown
B05
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B8A
unknown
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S2A_MSIL2A_20230119T161811_N0509_R111_T01CDJ_20230119T194553
922D_249L
20230119T161811
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S2B_MSIL2A_20181219T162339_N9999_R011_T01CEJ_20230421T203838
922D_245L
20181219T162339
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S2A_MSIL2A_20200119T155811_N9999_R025_T01CEJ_20230127T025623
922D_244L
20200119T155811
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S2A_MSIL2A_20210103T155811_N9999_R025_T01CEJ_20230318T230932
922D_243L
20210103T155811
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S2B_MSIL2A_20181220T155319_N9999_R025_T01CEJ_20230421T215833
922D_242L
20181220T155319
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S2B_MSIL2A_20181220T155319_N9999_R025_T01CEJ_20230421T215833
922D_241L
20181220T155319
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S2B_MSIL2A_20201027T154319_N0500_R125_T01CEJ_20230307T143528
922D_240L
20201027T154319
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S2B_MSIL2A_20230111T160329_N0509_R068_T01CEJ_20230111T192906
922D_239L
20230111T160329
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S2A_MSIL2A_20160130T155812_N0201_R025_T02CNP_20160130T155809
922D_238L
20160130T155812
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S2B_MSIL2A_20220209T154309_N0400_R125_T02CNP_20220209T191645
922D_237L
20220209T154309
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Core-S2L2A

Contains a global coverage of Sentinel-2 (Level 2A) patches, each of size 1,068 x 1,068 pixels.

Source Sensing Type Number of Patches Patch Size Total Pixels
Sentinel-2 Level-2A Optical Multispectral 2,245,886 1,068 x 1,068 (10 m) > 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

Example Use

Interface scripts are available at https://github.com/ESA-PhiLab/Major-TOM

Here's a sneak peek with a thumbnail image:

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

@inproceedings{Major_TOM,
  title={Major TOM: Expandable Datasets for Earth Observation}, 
  author={Alistair Francis and Mikolaj Czerkawski},
  year={2024},
  booktitle={IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium}, 
  eprint={2402.12095},
  archivePrefix={arXiv},
  primaryClass={cs.CV}
}

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