mikonvergence
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Update README.md
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README.md
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@@ -10,13 +10,13 @@ size_categories:
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- 1M<n<10M
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---
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# Core-
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Contains a global coverage of Sentinel-2 (Level 1C) 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-2 Level-1C |Optical Multispectral|
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## Content
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@@ -51,7 +51,7 @@ 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-
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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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- 1M<n<10M
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# Core-S2L2A (🥧 Pre-Release)
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Contains a global coverage of Sentinel-2 (Level 1C) 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-2 Level-1C |Optical Multispectral|2,245,886|1,068 x 1,068 (10 m) | > 2.564 Trillion |
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## Content
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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-S2L2A/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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