Converting Raw Data Into Actionable Information: A topical review of artificial intelligence, machine learning, and digital twins in disaster management

IF 13.7 1区地球科学 Q1 GEOCHEMISTRY & GEOPHYSICS

IEEE Geoscience and Remote Sensing Magazine Pub Date : 2026-06-04 DOI:10.1109/mgrs.2025.3642854

Arif R. Albayrak, Monique M. Kuglitsch, Jürg Luterbacher, Elena Xoplaki, Lorenzo Nava, Shanna McClain, Batuhan Osmanoglu, Brian Wee, Chester D. Karwatowski, Peter Williams, Miguel-Ángel Fernández-Torres, Eri Stern, Dylan Ray Boyd, Daniel D. Slate, Mythili Menon

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将原始数据转化为可操作的信息：人工智能、机器学习和灾难管理中的数字孪生的专题综述

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

IEEE Geoscience and Remote Sensing Magazine Computer Science-General Computer Science

CiteScore

20.50

自引率

2.70%

发文量

期刊介绍： The IEEE Geoscience and Remote Sensing Magazine (GRSM) serves as an informative platform, keeping readers abreast of activities within the IEEE GRS Society, its technical committees, and chapters. In addition to updating readers on society-related news, GRSM plays a crucial role in educating and informing its audience through various channels. These include:Technical Papers,International Remote Sensing Activities,Contributions on Education Activities,Industrial and University Profiles,Conference News,Book Reviews,Calendar of Important Events.