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README.md
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---
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license: cc-by-sa-4.0
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---
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---
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license: cc-by-sa-4.0
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tags:
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- earth-observation
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- remote-sensing
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- sentinel-1
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- sar
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- synthethic-aperture-radar
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- satellite
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size_categories:
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- 1M<n<10M
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dataset_info:
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- config_name: default
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features:
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- name: product_id
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dtype: string
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- name: grid_cell
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dtype: string
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- name: product_datetime
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dtype: string
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- name: thumbnail
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dtype: image
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- name: vv
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dtype: binary
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- name: vh
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dtype: binary
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configs:
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- config_name: default
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data_files: images/*.parquet
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- config_name: metadata
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data_files: metadata.parquet
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---
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# Core-S1RTC
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Contains a global coverage of Sentinel-1 (RTC) patches, each of size 1,068 x 1,068 pixels.
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| Source | Sensing Type | Number of Patches | Patch Size | Total Pixels |
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|--------|--------------|-------------------|------------|--------------|
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|Sentinel-1 RTC | Synthetic Aperture Radar |1,469,955|1,068 x 1,068 (10 m) | > 1.676 Trillion |
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## Content
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| Column | Details | Resolution |
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|--------|---------|------------|
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| VV | Received Linear Power in the VV Polarization | 10m |
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| VH | Received Linear Power in the VV Polarization | 10m |
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| thumbnail | RGB composite [B04, B03, B02] saved as png | 10m |
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## Spatial Coverage
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This is a global monotemporal dataset. Nearly every piece of Earth captured by Sentinel-1 is contained at least once in this dataset (and only once, excluding some marginal overlaps). The coverage is about 35% lower than for Core Sentinel-2 dataset due to the sensor coverage limitations.
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## Example Use
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Interface scripts are available at https://github.com/ESA-PhiLab/Major-TOM
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Here's a sneak peek with a thumbnail image:
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```python
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from fsspec.parquet import open_parquet_file
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import pyarrow.parquet as pq
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from io import BytesIO
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from PIL import Image
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PARQUET_FILE = 'part_03900' # parquet number
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ROW_INDEX = 42 # row number (about 500 per parquet)
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url = "https://huggingface.co/datasets/Major-TOM/Core-S1RTC/resolve/main/images/{}.parquet".format(PARQUET_FILE)
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with open_parquet_file(url,columns = ["thumbnail"]) as f:
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with pq.ParquetFile(f) as pf:
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first_row_group = pf.read_row_group(ROW_INDEX, columns=['thumbnail'])
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stream = BytesIO(first_row_group['thumbnail'][0].as_py())
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image = Image.open(stream)
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```
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## Cite
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[](https://arxiv.org/abs/2402.12095/)
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```latex
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@inproceedings{Major_TOM,
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title={Major TOM: Expandable Datasets for Earth Observation},
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author={Alistair Francis and Mikolaj Czerkawski},
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year={2024},
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eprint={2402.12095},
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archivePrefix={arXiv},
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primaryClass={cs.CV}
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}
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```
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Powered by [Φ-lab, European Space Agency (ESA) 🛰️](https://huggingface.co/ESA-philab)
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