用大模型帮小城市制定气候适应策略
EcoScapes: LLM-Powered Advice for Crafting Sustainable Cities
- 分层系统融合大模型、卫星图像与知识库
- 支持多源数据整合，提升策略制定效率
- 适合资源有限的城市规划者使用
气候变化适应对城市可持续发展乃至存续至关重要。然而，小城市常因人力不足和难以整合多源数据而面临挑战。为此，本文提出一种多层系统，结合专用大语言模型、卫星影像分析与知识库，辅助制定有效的气候适应策略。该系统可处理复杂数据，生成可操作建议，提升小城市应对气候风险的能力。相关代码已开源，地址为 https://github.com/Photon-GitHub/EcoScapes。
原文摘要 · Abstract (English)
Climate adaptation is vital for the sustainability and sometimes the mere survival of our urban areas. However, small cities often struggle with limited personnel resources and integrating vast amounts of data from multiple sources for a comprehensive analysis. To overcome these challenges, this paper proposes a multi-layered system combining specialized LLMs, satellite imagery analysis and a knowledge base to aid in developing effective climate adaptation strategies. The corresponding code can be found at https://github.com/Photon-GitHub/EcoScapes.
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