# GPT Image Hub prompt

## 항공 토지 피복 분류 지도
- URL: https://www.gptimagehub.com/ko/library/aerial-land-cover-classification-map
- Generator URL: https://www.gptimagehub.com/ko/generate?promptId=oss-ym-g2-16057
- Markdown URL: https://www.gptimagehub.com/api/agent/markdown?path=%2Fko%2Flibrary%2Faerial-land-cover-classification-map
- Category: 인포그래픽 / 교육
- Model: gpt-image-2
- Aspect ratio: 1:1
- Style: graphic-design
- Tags: 지도제작, 토지피복, 항공뷰, 주제도, gis, 의사색상
- Updated: 2026-10-27T20:34:18.098Z
- Created: 2026-10-27T20:34:18.098Z

항공 사진을 깔끔한 의사색상 토지 피복 분류 지도로 변환합니다. 지도 제작 목적에 맞게 범주 색상과 구역을 맞춤 설정할 수 있습니다.

### Full prompt
```text
Using the reference photo as the source geography and urban layout, transform the monochrome aerial photograph into a clean false-color land-cover classification map. Maintain the identical top-down orthographic viewpoint and street/block structure, replacing photographic texture with flat segmented vector-style regions and crisp boundaries. Classify the scene into 6 categories: [buildings as red], [roads and paved corridors as white], [water bodies and canals as blue], [dense vegetation and parks as dark green], [open grass or sparse green areas as light green], and [industrial or open paved facility areas as gray]. High-contrast thematic cartography, flat shading, with no labels, text, legends, borders, or film markings.
```