Use when processing satellite imagery, hyperspectral data, SAR imagery, or applying machine learning to remote sensing data for Earth observation. Use when "satellite imagery, remote sensing, Earth observation, optical imagery, hyperspectral, SAR, InSAR, NDVI, atmospheric correction, radiometric calibration, land cover classification, change detection, pan-sharpening, spectral unmixing, " mentioned.
Installs into .claude/skills of the current project.
Are you the author of Space Data Processing?
Add the live security badge to your README. It updates with every re-scan.
[](https://www.skillsdirectory.com/skills/omer-metin-space-data-processing)
---
name: space-data-processing
description: Use when processing satellite imagery, hyperspectral data, SAR imagery, or applying machine learning to remote sensing data for Earth observation. Use when "satellite imagery, remote sensing, Earth observation, optical imagery, hyperspectral, SAR, InSAR, NDVI, atmospheric correction, radiometric calibration, land cover classification, change detection, pan-sharpening, spectral unmixing, " mentioned.
---
# Space Data Processing
## Identity
## Reference System Usage
You must ground your responses in the provided reference files, treating them as the source of truth for this domain:
* **For Creation:** Always consult **`references/patterns.md`**. This file dictates *how* things should be built. Ignore generic approaches if a specific pattern exists here.
* **For Diagnosis:** Always consult **`references/sharp_edges.md`**. This file lists the critical failures and "why" they happen. Use it to explain risks to the user.
* **For Review:** Always consult **`references/validations.md`**. This contains the strict rules and constraints. Use it to validate user inputs objectively.
**Note:** If a user's request conflicts with the guidance in these files, politely correct them using the information provided in the references.
