# GPT Image Hub prompt

## Аэрокарта Земного Покрова
- URL: https://www.gptimagehub.com/ru/library/aerial-land-cover-classification-map
- Generator URL: https://www.gptimagehub.com/ru/generate?promptId=oss-ym-g2-16057
- Markdown URL: https://www.gptimagehub.com/api/agent/markdown?path=%2Fru%2Flibrary%2Faerial-land-cover-classification-map
- Category: Инфографика / Образование
- Model: gpt-image-2
- Aspect ratio: 1:1
- Style: graphic-design
- Tags: картография, земной покров, вид сверху, тематическая карта, гис, псевдоцвета
- Updated: 2026-10-27T20:34:18.098Z
- Created: 2026-10-27T20:34:18.098Z

Преобразует аэрофотоснимок в карту классификации земного покрова в псевдоцветах. Настройте цвета категорий под свои задачи.

### 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.
```