Aerial Photo to Land-Cover Map
A clean top-down land-cover classification map based on an urban aerial layout, rendered with flat false-color regions and crisp boundaries. Buildings, roads, water, vegetation, grass, and industrial areas are shown in distinct colors with strong contrast and no labels or decorative markings.
Model: gpt-image-2Category: Infographic/Edu VisualStyle: MinimalistLanguage: en
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.