Video Compression for Spatiotemporal Earth System Data
Paper
• 2506.19656 • Published
• 1
driver stringclasses 1 value | dtype stringclasses 1 value | nodata null | width int64 1.28k 1.28k | height int64 1.28k 1.28k | count int64 10 10 | crs stringclasses 1 value | geotransform sequencelengths 6 6 |
|---|---|---|---|---|---|---|---|
GTiff | uint16 | null | 1,280 | 1,280 | 10 | EPSG:32718 | [
221798.98188069114,
10,
0,
8954558.850185722,
0,
-10
] |
GTiff | uint16 | null | 1,280 | 1,280 | 10 | EPSG:32718 | [
221798.98188069114,
10,
0,
8954558.850185722,
0,
-10
] |
GTiff | uint16 | null | 1,280 | 1,280 | 10 | EPSG:32718 | [
221798.98188069114,
10,
0,
8954558.850185722,
0,
-10
] |
GTiff | uint16 | null | 1,280 | 1,280 | 10 | EPSG:32718 | [
221798.98188069114,
10,
0,
8954558.850185722,
0,
-10
] |
SimpleS2
To load the data:
import json
import pickle
# Read cube
with open('cubo1_pickle', 'rb') as file:
data = pickle.load(file).to_dataset(dim='band')
# Read metadata
with open('cubo1.json') as f:
meta = json.load(f)
Citation
This dataset is related to the paper: arXiv:2506.19656
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