mikonvergence
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README.md
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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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- elevation
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- satellite
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- geospatial
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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: grid_cell
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dtype: string
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- name: thumbnail
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dtype: image
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- name: compressed
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dtype: image
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- name: DEM
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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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# Major TOM Core-DEM
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Contains a global coverage of [Copernicus DEM](https://spacedata.copernicus.eu/collections/copernicus-digital-elevation-model), each of size 356 x 356 pixels.
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| Source | Modality Type | Number of Patches | Patch Size | Total Pixels |
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|:-------|:-------------:|:-----------------:|:----------:|:------------:|
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|Copernicus DEM 30 | Digital Surface Model (DSM) |1,837,843| 356 x 356 (30 m) | > 1.654 Billion |
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Produced in collaboration by European Space Agency Φ-lab and Adobe Research.
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## Content
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| Column | Details | Resolution |
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|:-------|:--------|:-----------|
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| DEM | Original data | 30m |
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| thumbnail | compressed hillshade visualisation | 30m |
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| compressed | compressed jpeg of original data | 30m |
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## Spatial Coverage
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This is a global monotemporal dataset that contains nearly the entire COP-DEM dataset.
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The following figure demonstrates the spatial coverage (only black pixels are absent):
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![image/png](https://cdn-uploads.huggingface.co/production/uploads/6304c06eeb6d777a838eab63/v5O9bSVPsnKNOrnzVNuH0.png)
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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_00390' # 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-DEM/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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Powered by [Φ-lab, European Space Agency (ESA) 🛰️](https://huggingface.co/ESA-philab)
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---
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Produced using Copernicus WorldDEM-30 © DLR e.V. 2010-2014 and © Airbus Defence and Space GmbH
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2014-2018 provided under COPERNICUS by the European Union and ESA; all rights reserved
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