| --- |
| license: mit |
| tags: |
| - geospatial |
| - satellite |
| - remote-sensing |
| - time-series |
| - neural-compression |
| --- |
| |
| # GeoNDC Sample Data |
|
|
| Sample `.gndc` files for use with [pygndc](https://github.com/jianboqi/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 |
|
|
| ```python |
| 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 |
