# GPT Image Hub prompt

## हवाई भूमि आवरण वर्गीकरण मानचित्र
- URL: https://www.gptimagehub.com/hi/library/aerial-land-cover-classification-map
- Generator URL: https://www.gptimagehub.com/hi/generate?promptId=oss-ym-g2-16057
- Markdown URL: https://www.gptimagehub.com/api/agent/markdown?path=%2Fhi%2Flibrary%2Faerial-land-cover-classification-map
- Category: इन्फोग्राफ़िक / शिक्षा
- Model: gpt-image-2
- Aspect ratio: 1:1
- Style: graphic-design
- Tags: मानचित्रकला, भूमि आवरण, हवाई दृश्य, विषयगत मानचित्र, जीआईएस, फॉल्स-कलर
- Updated: 2026-10-27T20:34:18.098Z
- Created: 2026-10-27T20:34:18.098Z

हवाई तस्वीर को एक स्पष्ट फॉल्स-कलर भूमि आवरण वर्गीकरण मानचित्र में बदलता है। अपनी आवश्यकताओं के अनुसार श्रेणियों के रंग अनुकूलित करें।

### 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.
```