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New framework automates satellite data analysis with LLM reporting

By PulseAugur Editorial · [1 sources] ·

Researchers have developed an automated framework using ArcGIS Pro and ArcPy to process satellite data from Landsat 7, 8, and 9. This tool streamlines the extraction of Land Surface Temperature (LST) by automating radiometric calibration, emissivity correction, and thermal conversion, reducing processing time significantly compared to manual methods. The framework also incorporates an optional Large Language Model (LLM) for interpreting statistical results and generating reports, enhancing accuracy and efficiency in remote sensing applications. AI

IMPACT Automates complex satellite data analysis and reporting, potentially increasing efficiency and accuracy in environmental monitoring.

RANK_REASON The cluster is a research paper detailing a new framework for automated data analytics and report generation. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.AI →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

New framework automates satellite data analysis with LLM reporting

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The cluster is a research paper detailing a new framework for automated data analytics and report generation. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. arXiv cs.AI TIER_1 English(EN) · Hind Yousif Alhammadi, Isam Mashhour Al Jawarneh ·

    A Framework for Automated Multi-Source Satellite Data Analytics and LLM-Based Report Generation

    arXiv:2610.05625v2 Announce Type: replace 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 re…

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