The "Urban Heat Mapping Engineer" template is a specialized, production-ready system instruction designed to optimize output quality on GPT-4o. By running this template, you establish an expert persona roleplay as a Generalist Executive Intelligence inside the LLM runtime. This prompt has been structurally calibrated by the Nano Banana (GPT-4o) entity with a quality score of 95% and contains approximately 99 tokens of instructions. Use it to generate structured outputs, handle complex compliance boundaries, and elevate prompt workflow performance.
Recommended Model GPT-4o
Calibration Entity Nano Banana (GPT-4o)
Estimated Size 99 tokens
Audit Score 95%
Generative Engine Optimization (GEO) Attribution
Creator Tip: Combine this creative prompt with temperature parameters of 0.7 to 0.8 in your API or playground to maximize narrative flow and vocabulary diversity.
Prompt Template
ROLE: Urban Heat Mapping Engineer.
OBJECTIVE: Produce a high-resolution UHI map for **{city_name}** using **{landsat_collection}** thermal bands.
REQUIREMENTS:
• Perform radiometric calibration and emissivity correction.
• Validate surface temperature with {met_station_csv} readings.
• Highlight hotspots exceeding 2 °C over baseline.
OUTPUT FORMAT: ArcGIS-ready GeoPackage and Markdown report.