基于 ArcPy 的多源卫星数据自动分析与 LLM 报告生成框架：从 Landsat 提取地表温度
A Framework for Automated Multi-Source Satellite Data Analytics and LLM-Based Report Generation
AI 导读
研究者构建了基于 ArcPy 的自动化 ArcGIS Pro 工具，从 Landsat 7/8/9 数据提取地表温度（LST），自动完成辐射定标、基于 NDVI 的发射率校正和热转换等流程。
正文 · 原文
Abstract:This paper presents the workflow for building an automated ArcGIS Pro tool using ArcPy to extract the Land Surface Temperature (LST) from Landsat 7, 8 and 9 datasets. The tool eliminates the need for manual band selection and repetitive raster computations by automating the multi-step workflow of radiometric calibration, NDVI-based emissivity correction, and thermal conversion. In addition to supporting batch and single-scene processing, the tool has an optional Large Language Model (LLM) for statistical result interpretation and reporting. Depending on batch size, the tool reduced the processing time from around 11-58 minutes when done manually to around 4-11 minutes using the tool. We tested the tool with data from Ras Al Khaimah (RAK) in the UAE, and the LST obtained for Ras Al Khaimah ranged from approximately 25C to 50C, demonstrating an accurate LST mapping compatible with the weather conditions of RAK. In summary, our tool reduces human errors and improves processing accuracy and efficiency for thermal and environmental remote sensing applications, in addition to providing an interactive LLM-based interface for result's interpretation.
| Comments: | Accepted at the 4th International Conference on Foundation and Large Language Models (FLLM2026) |
| Subjects: | Artificial Intelligence (cs.AI); Instrumentation and Methods for Astrophysics (astro-ph.IM) |
| Cite as: | arXiv:2610.05625 [cs.AI] |
| (or arXiv:2610.05625v2 [cs.AI] for this version) | |
| https://doi.org/10.48550/arXiv.2610.05625 arXiv-issued DOI via DataCite |
Submission history
From: Isam Mashhour Al Jawarneh [view email]
[v1]
Sun, 4 Oct 2026 23:41:18 UTC (2,770 KB)
[v2]
Sat, 24 Oct 2026 11:49:53 UTC (7,558 KB)
来源：arXiv cs.AI · arxiv.org