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GeoNDC Sample Data
Sample .gndc files for use with pygndc — a neural network-based compression format for geospatial time-series data.
What is .gndc?
A .gndc file stores 4D satellite imagery (Time × Height × Width × Bands) compressed by neural networks, achieving up to 300:1 compression ratios while supporting:
- Reconstruction at any time point (continuous temporal interpolation)
- Fast random pixel access at any timestamp
- Analytic spatial/temporal gradients
Usage
pip install pygndc
import pygndc
with pygndc.open("S2_sample_2022_to_2025.gndc") as ds:
print(ds) # metadata
frame = ds.read(t=0) # (H, W, C)
frame = ds.read_at_time("2024-06-15") # continuous interpolation
series = ds.sample(lon=116.825, lat=40.486) # (T, C) time series
ndvi = ds.ndvi(t=0, red_band=2, nir_band=3) # (H, W)
ds.to_tif("output.tif", t=0) # export GeoTIFF
Online Viewer
Browse .gndc files directly in the browser (no installation needed):
https://www.geondc.org/viewer/
Links
- pygndc: https://github.com/jianboqi/pygndc
- Website: https://www.geondc.org
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