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Aerial Photo to Land-Cover Map preview image
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gpt-image-2 case平面海报Image to Image1 ref

Aerial Photo to Land-Cover Map

This prompt converts a reference aerial photograph into a false-color land-cover classification map for urban analysis or map-style visualization.

This is a gpt-image-2 prompt case for 平面海报. Use the copy-ready prompt below to generate similar visuals, and review YouMind OpenLab awesome-gpt-image-2 attribution plus commercial-use rights before reuse.

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Prompt

Copy-ready prompt

Using REFERENCE_0 as the source for geographic and urban layout, and leveraging the pseudo-color visual language implied by REFERENCE_1, monochrome historical aerial photographs are transformed into clear land cover classification maps. The same overhead perspective and street/block structure are maintained, but photographic textures are replaced with flat, segmented areas and sharp boundaries. The scene is precisely divided into six visual categories: 1) buildings in red, 2) roads and major paved corridors in white, 3) water bodies and canals in blue, 4) dense vegetation/parks in dark green, 5) open grasslands or sparse green spaces in light green, and 6) industrial areas or large paved/open facilities in gray. A dense urban thematic map with high contrast, minimal shadows, and no labels, legends, borders, or film markings is generated.

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  1. 1.Copy the prompt or open it directly in Dovoo with the generation button.
  2. 2.Adjust variables, aspect ratio, and reference images for your own use case.
  3. 3.Before publishing or paid usage, verify source rights, attribution requirements, and brand or likeness risks.

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Commercial-use status is unknown. Review the original source, license, brand constraints, and legal requirements before paid usage.

Where does this case come from?

This case is imported from YouMind OpenLab awesome-gpt-image-2; keep attribution visible and check the source URL before reuse.