EcoScapes: LLM-Powered Advice for Crafting Sustainable Cities
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arXiv
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| Main Authors: | , , |
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| Format: | Preprint |
| Published: |
2025
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| _version_ | 1866908714705879040 |
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| author | Röhn, Martin Gourmelon, Nora Christlein, Vincent |
| author_facet | Röhn, Martin Gourmelon, Nora Christlein, Vincent |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2512_14373 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | EcoScapes: LLM-Powered Advice for Crafting Sustainable Cities Röhn, Martin Gourmelon, Nora Christlein, Vincent Computer Vision and Pattern Recognition 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. |
| title | EcoScapes: LLM-Powered Advice for Crafting Sustainable Cities |
| topic | Computer Vision and Pattern Recognition |
| url | https://arxiv.org/abs/2512.14373 |