GEE-OPs: an operator knowledge base for geospatial code generation on the Google Earth Engine platform powered by large language models
As spatiotemporal data grows in complexity, utilizing geospatial modeling on the Google Earth Engine (GEE) platform poses challenges in improving coding efficiency for experts and enhancing the coding capabilities of interdisciplinary users. To address these challenges, we propose a framework for co...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Taylor & Francis Group
2025-05-01
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| Series: | Geo-spatial Information Science |
| Subjects: | |
| Online Access: | https://www.tandfonline.com/doi/10.1080/10095020.2025.2505556 |
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