File size: 3,883 Bytes
5ea0815 b5f809a bb501a7 3a0ef92 bb501a7 f098498 b45f983 f098498 b45f983 5ea0815 bb501a7 025e21a bb501a7 b761220 bb501a7 a920f23 bb501a7 025e21a bb501a7 2be99b7 bb501a7 2004698 bb501a7 57840c9 bb501a7 5bfb0fd bb501a7 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 |
---
license: cc-by-sa-4.0
tags:
- earth-observation
- remote-sensing
- sentinel-2
- multi-spectral
- satellite
- geospatial
size_categories:
- 1M<n<10M
dataset_info:
- config_name: default
features:
- name: product_id
dtype: string
- name: grid_cell
dtype: string
- name: product_datetime
dtype: string
- name: thumbnail
dtype: image
- name: B01
dtype: binary
- name: B02
dtype: binary
- name: B03
dtype: binary
- name: B04
dtype: binary
- name: B05
dtype: binary
- name: B06
dtype: binary
- name: B07
dtype: binary
- name: B08
dtype: binary
- name: B8A
dtype: binary
- name: B09
dtype: binary
- name: B11
dtype: binary
- name: B12
dtype: binary
- name: cloud_mask
dtype: binary
configs:
- config_name: default
data_files: images/*.parquet
- config_name: metadata
data_files: metadata.parquet
---
# 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):
## Example Use
Interface scripts are available at https://github.com/ESA-PhiLab/Major-TOM
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
[](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},
booktitle={IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium},
eprint={2402.12095},
archivePrefix={arXiv},
primaryClass={cs.CV}
}
```
Powered by [Φ-lab, European Space Agency (ESA) 🛰️](https://huggingface.co/ESA-philab) |