Rasterio Windowed Raster Preprocessing Starter

Use this skill to generate a tiny toy raster with Rasterio, extract a window, downsample it, and summarize the preprocessing result in compact JSON.

What it does

• Creates a deterministic single-band GeoTIFF with a simple EPSG:4326 transform.
• Reads a 2x2 window from the raster.
• Produces a 2x2 average-resampled version of the whole raster.
• Emits a compact JSON summary with bounds, means, and extracted values.

When to use it

• You need a local starter for raster preprocessing or remote-sensing data handling.
• You want a minimal example of rasterio.open, Window, and average resampling.
• You want a deterministic JSON artifact before moving on to larger raster pipelines.

Example

slurm/envs/geospatial/bin/python skills/earth-climate-and-geospatial-science/rasterio-windowed-raster-preprocessing-starter/scripts/run_rasterio_windowed_preprocessing.py \
  --out scratch/geospatial/rasterio_preprocessing_summary.json

Verification

• Skill-local tests: python3 -m unittest discover -s skills/earth-climate-and-geospatial-science/rasterio-windowed-raster-preprocessing-starter/tests -p 'test_*.py'
• Expected summary: window_values == [[6.0, 7.0], [10.0, 11.0]]