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Urban land cover map showing red buildings, white roads, blue waterways, and green vegetated areas
GPT Image 2.0

Urban land cover map showing red buildings, white roads, blue waterways, and green vegetated areas

Prompt

Using REFERENCE_0 as the source geography and urban layout, transform the monochrome historical aerial photo into a clean land-cover classification map using the false-color visual language implied by REFERENCE_1. Keep the same top-down viewpoint and street/block structure, but replace photographic texture with flat segmented regions and crisp boundaries. Classify the scene into exactly 6 visual categories: 1) buildings as red, 2) roads and major paved corridors as white, 3) water bodies and canals as blue, 4) dense vegetation/parks as dark green, 5) open grass or sparse green areas as light green, and 6) industrial or large paved/open facility areas as gray. Produce a dense urban thematic map with strong contrast, minimal shading, and no labels, legends, borders, or photographic film markings.
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Model
GPT Image 2.0
Format
9/16
Author
@lTlanual
Original
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