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데이터 및 연구 · SKILL.md

space-data-processing

space-data-processing

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-…

Independent GitHub snapshot · Automated classification · Original documentation governs

Skill 문서

GitHub

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.

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