EcoScapes: LLM-Powered Advice for Crafting Sustainable Cities
Martin R\"ohn, Nora Gourmelon, Vincent Christlein
TL;DR
EcoScapes introduces a multi-layered system utilizing large language models, satellite imagery, and a knowledge base to assist small cities in developing sustainable climate adaptation strategies despite resource limitations.
Contribution
The paper presents a novel integrated system combining LLMs, satellite data, and knowledge bases for urban climate adaptation planning.
Findings
Effective analysis of satellite imagery for urban planning.
Enhanced decision support for small cities.
Open-source code available for implementation.
Abstract
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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Taxonomy
TopicsGeographic Information Systems Studies · Impact of Light on Environment and Health · Remote-Sensing Image Classification