Duplicate from Major-TOM/Core-DEM

Co-authored-by: Mikolaj Czerkawski <mikonvergence@users.noreply.huggingface.co>

.gitattributes

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+*.7z filter=lfs diff=lfs merge=lfs -text
+*.arrow filter=lfs diff=lfs merge=lfs -text
+*.bin filter=lfs diff=lfs merge=lfs -text
+*.bz2 filter=lfs diff=lfs merge=lfs -text
+*.ckpt filter=lfs diff=lfs merge=lfs -text
+*.ftz filter=lfs diff=lfs merge=lfs -text
+*.gz filter=lfs diff=lfs merge=lfs -text
+*.h5 filter=lfs diff=lfs merge=lfs -text
+*.joblib filter=lfs diff=lfs merge=lfs -text
+*.lfs.* filter=lfs diff=lfs merge=lfs -text
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+*.rar filter=lfs diff=lfs merge=lfs -text
+*.safetensors filter=lfs diff=lfs merge=lfs -text
+saved_model/**/* filter=lfs diff=lfs merge=lfs -text
+*.tar.* filter=lfs diff=lfs merge=lfs -text
+*.tar filter=lfs diff=lfs merge=lfs -text
+*.tflite filter=lfs diff=lfs merge=lfs -text
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+*.zip filter=lfs diff=lfs merge=lfs -text
+*.zst filter=lfs diff=lfs merge=lfs -text
+*tfevents* filter=lfs diff=lfs merge=lfs -text
+# Audio files - uncompressed
+*.pcm filter=lfs diff=lfs merge=lfs -text
+*.sam filter=lfs diff=lfs merge=lfs -text
+*.raw filter=lfs diff=lfs merge=lfs -text
+# Audio files - compressed
+*.aac filter=lfs diff=lfs merge=lfs -text
+*.flac filter=lfs diff=lfs merge=lfs -text
+*.mp3 filter=lfs diff=lfs merge=lfs -text
+*.ogg filter=lfs diff=lfs merge=lfs -text
+*.wav filter=lfs diff=lfs merge=lfs -text
+# Image files - uncompressed
+*.bmp filter=lfs diff=lfs merge=lfs -text
+*.gif filter=lfs diff=lfs merge=lfs -text
+*.png filter=lfs diff=lfs merge=lfs -text
+*.tiff filter=lfs diff=lfs merge=lfs -text
+# Image files - compressed
+*.jpg filter=lfs diff=lfs merge=lfs -text
+*.jpeg filter=lfs diff=lfs merge=lfs -text
+*.webp filter=lfs diff=lfs merge=lfs -text
+# Video files - compressed
+*.mp4 filter=lfs diff=lfs merge=lfs -text
+*.webm filter=lfs diff=lfs merge=lfs -text

README.md

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+---
+license: cc-by-sa-4.0
+size_categories:
+- 1M<n<10M
+task_categories:
+- other
+tags:
+- earth-observation
+- remote-sensing
+- elevation
+- satellite
+- geospatial
+dataset_info:
+- config_name: default
+  features:
+  - name: grid_cell
+    dtype: string
+  - name: thumbnail
+    dtype: image
+  - name: compressed
+    dtype: image
+  - name: DEM
+    dtype: binary
+configs:
+- config_name: default
+  data_files: images/*.parquet
+- config_name: metadata
+  data_files: metadata.parquet
+---
+
+![image/png](https://cdn-uploads.huggingface.co/production/uploads/6304c06eeb6d777a838eab63/p2lwaUwDnuUwiRtGWXUFz.png)
+
+# Major TOM Core-DEM
+
+Major TOM Core-DEM contains a global coverage of [Copernicus DEM](https://spacedata.copernicus.eu/collections/copernicus-digital-elevation-model), each of size 356 x 356 pixels.
+
+This dataset was created to support the development of the [MESA terrain generation model](https://paulbornep.github.io/mesa-terrain/). It is also featured in the paper [EarthEmbeddingExplorer: A Web Application for Cross-Modal Retrieval of Global Satellite Images](https://huggingface.co/papers/2603.29441) and is part of the [Major TOM: Expandable Datasets for Earth Observation](https://arxiv.org/abs/2402.12095) ecosystem.
+
+- **Official Viewer App:**: [Major TOM Viewer](https://huggingface.co/spaces/Major-TOM/MajorTOM-Core-Viewer)
+- **Major TOM GitHub:** [ESA-PhiLab/Major-TOM](https://github.com/ESA-PhiLab/Major-TOM)
+- **EarthEmbeddingExplorer:** [ModelScope App](https://modelscope.ai/studios/Major-TOM/EarthEmbeddingExplorer)
+
+| Source | Modality Type | Number of Patches | Patch Size | Total Pixels |
+|:-------|:-------------:|:-----------------:|:----------:|:------------:|
+|Copernicus DEM 30 | Digital Surface Model (DSM) |1,837,843| 356 x 356 (30 m) | > 1.654 Billion |
+
+## Dataset Content
+
+| Column | Details | Resolution |
+|:-------|:--------|:-----------|
+| DEM | Original data | 30m | 
+| thumbnail | compressed hillshade visualisation | 30m | 
+| compressed | compressed png of original data | 30m | 
+
+## Spatial Coverage
+This is a global monotemporal dataset that contains nearly the entire COP-DEM dataset.
+
+The following figure demonstrates the spatial coverage (only black pixels are absent):
+![image/png](https://cdn-uploads.huggingface.co/production/uploads/6304c06eeb6d777a838eab63/v5O9bSVPsnKNOrnzVNuH0.png)
+
+In this first version, all available DEM data was included except for the Major TOM cells below the 89th latitude and two degrees west off the date change line. Azerbaijan and Armenia weren’t included either as they are unavailable on the Creodias platform used to create this dataset.
+
+## Example Use
+
+Interface scripts are available at https://github.com/ESA-PhiLab/Major-TOM
+
+Here's an example with reading directly via http from HuggingFace:
+```python
+from fsspec.parquet import open_parquet_file
+import pyarrow.parquet as pq
+from rasterio.io import MemoryFile
+from PIL import Image
+
+PARQUET_FILE = 'part_00390' # parquet number
+ROW_INDEX = 42 # row number (about 500 per parquet)
+
+url = "https://huggingface.co/datasets/Major-TOM/Core-DEM/resolve/main/images/{}.parquet".format(PARQUET_FILE)
+with open_parquet_file(url,columns = ["DEM"]) as f:
+    with pq.ParquetFile(f) as pf:
+        first_row_group = pf.read_row_group(ROW_INDEX, columns=['DEM'])
+
+with MemoryFile(first_row_group['DEM'][0].as_py()) as mem_f:
+    with mem_f.open(driver='GTiff') as f:
+        dem = f.read()
+```
+
+And here's an example 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_00390' # parquet number
+ROW_INDEX = 42 # row number (about 500 per parquet)
+
+url = "https://huggingface.co/datasets/Major-TOM/Core-DEM/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)
+```
+
+### Reprojection Details
+Contrary to [S1 RTC](huggingface.co/datasets/Major-TOM/Core-S1RTC) and S2 ([L1C](huggingface.co/datasets/Major-TOM/Core-S2L1C) & [L2A](huggingface.co/datasets/Major-TOM/Core-S2L2A)) products, which are taken in their native projection to create their respective Major TOM Core datasets, Copernicus DEM, natively in EPSG:4326, was reprojected to a carefully chosen projection. To  guarantee uniformity across Major Tom sources, it was reprojected to the corresponding UTM zone of the cell. This leads to inconsistency between Sentinel-2 and COP-DEM cells in some cases. For the S2-L2A product this is estimated to 2.5% of all the cells where COP-DEM and S2-L2A are available (41,998 out of 1,679,898 cells).
+
+
+Large DEM tiles were projected and resampled to 30m using bilinear interpolation. Small major tom cells were then cropped for it using nearest neighbor interpolation if needed. Some tiles above water and around Armenia and Azerbaijan, may exhibit missing pixels which value were set to -32767.
+
+
+![image/png](https://cdn-uploads.huggingface.co/production/uploads/6304c06eeb6d777a838eab63/y8uvoDMWTKjAZNyXQale2.png)
+
+### Credits
+This dataset is the product of a collaboration between [Φ-lab, European Space Agency (ESA)](https://huggingface.co/ESA-philab)  and the  [Adobe Research (Paris, France)](https://research.adobe.com/careers/paris/). The dataset was put together by [Paul Borne--Pons](https://www.linkedin.com/in/paul-bp-cs/) under the supervision of Mikolaj Czerkawski and Alistair Francis (the original authors of the Major TOM project) as part of his stay at ESA Phi Lab. The idea behind this collaboration is to explore the synergies between Sentinel 2 products and DEM data, notably for the generation of terrains.
+
+### Citation
+
+```latex
+@inproceedings{mesa2025,
+title={MESA: Text-Driven Terrain Generation Using Latent Diffusion and Global Copernicus Data},
+author={Paul Borne--Pons and Mikolaj Czerkawski and Rosalie Martin and Romain Rouffet},
+year={2025},
+booktitle={MORSE Workshop at CVPR 2025},
+eprint={2504.07210},
+url={https://arxiv.org/abs/2504.07210}}
+```
+
+---
+
+Produced using Copernicus WorldDEM-30 © DLR e.V. 2010-2014 and © Airbus Defence and Space GmbH
+2014-2018 provided under COPERNICUS by the European Union and ESA; all rights reserved

extras/thumbnail_dem.py

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+"""
+    NOTE: Major TOM standard does not require any specific type of thumbnail to be computed.
+    
+    Instead these are shared as optional help since this is how the Core dataset thumbnails have been computed.
+"""
+
+from rasterio.io import MemoryFile
+from PIL import Image
+import numpy as np
+import os
+from pathlib import Path
+import rasterio as rio
+from matplotlib.colors import LightSource
+
+def get_grayscale(x):
+    """
+        Normalized grayscale visualisation
+    """
+    
+    # normalize
+    x_n = x-x.min()
+    x_n = x_n/x_n.max()
+    
+    return np.uint8(x_n*255)
+
+def get_hillshade(x, azdeg=315, altdeg=45,ve=1):
+    """
+        Hillshade visualisation for DEM
+    """
+    ls = LightSource(azdeg=azdeg, altdeg=altdeg)
+    
+    return np.uint8(255*ls.hillshade(x, vert_exag=ve))
+    
+def dem_thumbnail(dem, dem_NODATA = -32768.0, hillshade=True):
+    """
+        Takes vv and vh numpy arrays along with the corresponding NODATA values (default is -32768.0)
+        
+        Returns a numpy array with the thumbnail
+    """
+    if hillshade:
+        return get_hillshade(dem)
+    else:
+        return get_grayscale(dem)
+    
+
+def dem_thumbnail_from_datarow(datarow):
+    """
+        Takes a datarow directly from one of the data parquet files
+        
+        Returns a PIL Image
+    """
+
+    with MemoryFile(datarow['DEM'][0].as_py()) as mem_f:
+        with mem_f.open(driver='GTiff') as f:
+            dem=f.read().squeeze()
+            dem_NODATA = f.nodata
+
+    img = dem_thumbnail(dem, dem_NODATA)
+
+    return Image.fromarray(img,'L')
+
+if __name__ == '__main__':    
+    from fsspec.parquet import open_parquet_file
+    import pyarrow.parquet as pq
+
+    print('[example run] reading file from HuggingFace...')
+    url = "https://huggingface.co/datasets/Major-TOM/Core-DEM/resolve/main/images/part_01001.parquet"
+    with open_parquet_file(url) as f:
+        with pq.ParquetFile(f) as pf:
+            first_row_group = pf.read_row_group(1)
+    
+    print('[example run] computing the thumbnail...')    
+    thumbnail = dem_thumbnail_from_datarow(first_row_group)
+
+    thumbnail_fname = 'example_thumbnail.png'
+    thumbnail.save(thumbnail_fname, format = 'PNG')
+    print('[example run] saved as "{}"'.format(thumbnail_fname))

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