HeatPrompt: Zero-Shot Vision-Language Modeling of Urban Heat Demand from Satellite Images | ScienceToStartup | ScienceToStartup

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References (28)

[1]

Qwen2.5-VL Technical Report

2025Shuai Bai, Keqin Chen et al.

[2]

RS-MoE: A Vision–Language Model With Mixture of Experts for Remote Sensing Image Captioning and Visual Question Answering

2024Hui Lin, Danfeng Hong et al.

[3]

A Platform Ecosystem Providing New Data For The Energy Transition

Founder's Pitch

"Leverage satellite images and GIS data to estimate urban heat demand with zero-shot vision-language models."

Urban Planning AI•Score: 3•View PDF ↗

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HeatPrompt: Zero-Shot Vision-Language Modeling of Urban Heat Demand from Satellite Images

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References (28)

Founder's Pitch

"Leverage satellite images and GIS data to estimate urban heat demand with zero-shot vision-language models."

Commercial Viability Breakdown

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Why It Matters

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HeatPrompt: Zero-Shot Vision-Language Modeling of Urban Heat Demand from Satellite Images

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References (28)

Founder's Pitch

"Leverage satellite images and GIS data to estimate urban heat demand with zero-shot vision-language models."

Commercial Viability Breakdown

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