
Aerial Land-Cover Classification Map
Transforms an aerial photo into a clean, false-color land-cover classification map. Customize the assigned category colors or urban zones to suit your cartographic needs.
Prompt
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.
What you can customize
Swap these parts of the prompt for your own subject or wording before you generate.
[buildings as red]placeholder[roads and paved corridors as white]placeholder[water bodies and canals as blue]placeholder[dense vegetation and parks as dark green]placeholder[open grass or sparse green areas as light green]placeholder[industrial or open paved facility areas as gray]placeholder
Prompt details
- Category
- Infographic / Education
- Model
- GPT IMAGE 2
- Cost per image
- 1K: 43 credits · 2K: 86 credits · 4K: 143 credits
- Aspect ratio
- 1:1
- Added