rasterio-windowed-raster-preprocessing-starter

Name: rasterio-windowed-raster-preprocessing-starter
Author: ma-compbio-lab

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How to install rasterio-windowed-raster-preprocessing-starter?

ma-compbio-lab/skillfoundry/rasterio-windowed-raster-preprocessing-starter

$npx -y skills add ma-compbio-lab/SkillFoundry --skill rasterio-windowed-raster-preprocessing-starter

Installs into the current project.

Summary

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

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SKILL.md

1	# Rasterio Windowed Raster Preprocessing Starter
2
3	Use this skill to generate a tiny toy raster with Rasterio, extract a window, downsample it, and summarize the preprocessing result in compact JSON.
4
5	## What it does
6
7	- Creates a deterministic single-band GeoTIFF with a simple `EPSG:4326` transform.
8	- Reads a 2x2 window from the raster.
9	- Produces a 2x2 average-resampled version of the whole raster.
10	- Emits a compact JSON summary with bounds, means, and extracted values.
11
12	## When to use it
13
14	- You need a local starter for raster preprocessing or remote-sensing data handling.
15	- You want a minimal example of `rasterio.open`, `Window`, and average resampling.
16	- You want a deterministic JSON artifact before moving on to larger raster pipelines.
17
18	## Example
19
20	```bash
21	slurm/envs/geospatial/bin/python skills/earth-climate-and-geospatial-science/rasterio-windowed-raster-preprocessing-starter/scripts/run_rasterio_windowed_preprocessing.py \
22	--out scratch/geospatial/rasterio_preprocessing_summary.json
23	```
24
25	## Verification
26
27	- Skill-local tests: `python3 -m unittest discover -s skills/earth-climate-and-geospatial-science/rasterio-windowed-raster-preprocessing-starter/tests -p 'test_*.py'`
28	- Expected summary: `window_values == [[6.0, 7.0], [10.0, 11.0]]`

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