Page 7 - 《武汉大学学报（信息科学版）》2025年第6期

第 50 卷 第 6 期 武 汉 大 学 学 报（ 信 息 科 学 版 ） Vol.50 No.6
2025 年 6 月 Geomatics and Information Science of Wuhan University Jun. 2025

引文格式：刘纪平,王琢璐,徐胜华，等 . 人工智能时代下的应急测绘[J]. 武汉大学学报（信息科学版）,2025,50(6):1029-1041.
DOI:10.13203/j.whugis20240300
Citation：LIU Jiping,WANG Zhuolu,XU Shenghua,et al.Emergency Surveying and Mapping in the Era of Artificial Intelligence
[J].Geomatics and Information Science of Wuhan University,2025,50(6):1029-1041.DOI:10.13203/j.whugis20240300
人工智能时代下的应急测绘

刘纪平 王琢璐 徐胜华 任 福 王 勇 唐 晴 周婷婷 4
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1 中国测绘科学研究院，北京，100830
2 辽宁工程技术大学测绘与地理科学学院，辽宁 阜新，123000
3 武汉大学资源与环境科学学院，湖北 武汉，430079
4 西南交通大学地球科学与工程学院，四川 成都，611756
摘 要：应急测绘是通过高效、准确和快速获取的灾区地理空间数据提供综合防灾减灾救灾服务，人工智能是新一轮科
技革命与产业变革的核心驱动力，应用人工智能的应急测绘可提升突发事件应急管理的科学性和系统性。从人工智能
视角对应急测绘技术和方法进行了深入分析和总结，阐述了智能应急测绘的概念与内涵，提出了应急测绘关键技术框
架，回顾了应急测绘技术的研究进展，包括应急通信与高精度定位、多源灾情数据获取与融合、典型灾害模型与时空分
析、应急救援指挥与保障服务等；以全息实景信息底座、典型灾害态势推演系统、天空地一体化指挥平台为例，介绍了应
急测绘服务系统应用情况；围绕智能应急测绘理论体系、应急数据治理、应急大模型、智能应急测绘主动服务等方向对智
能应急测绘技术进行了展望。
关键词：应急测绘；人工智能；应急管理；智能服务
中图分类号：P208 文献标识码：A 收稿日期：2024-10‑15
DOI：10.13203/j.whugis20240300 文章编号：1671‑8860（2025）06‑1029‑13
Emergency Surveying and Mapping in the Era of Artificial Intelligence

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LIU Jiping WANG Zhuolu XU Shenghua REN Fu WANG Yong 1
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TANG Qing ZHOU Tingting 4
1 Chinese Academy of Surveying and Mapping, Beijing 100830, China
2 School of Geomatics, Liaoning Technical University, Fuxin 123000, China
3 School of Resource and Environmental Sciences, Wuhan University, Wuhan 430079, China
4 Faculty of Geosciences and Engineering, Southwest Jiaotong University, Chengdu 611756, China
Abstract： Objectives: Emergency surveying and mapping is an important method for disaster management
and rescue operations. It can acquire and analyze geographic data quickly and accurately, which is essential
for post-disaster rescue and reconstruction. Advanced technologies in the era of artificial intelligence (AI)
have promoted emergency surveying and mapping into a new development stage, effectively improving
work efficiency and data accuracy. It not only provides powerful support for emergency response, but also
offers precise guidance and basis of decision-making for rescue operations, thus significantly enhancing the
overall response capacity of national disaster management. Methods: Emergency surveying and mapping
technology in the era of AI has brought new solutions to emergency management and emergency response
in emergencies. Through the integration of communication and positioning technology, the response speed
and positioning accuracy of rescue are significantly improved. The fusion of multi-source disaster data in‑
creases the comprehensiveness and real-time nature of information, providing strong support for disaster as‑
sessment. The construction of disaster models provides a new perspective for predicting the development of
disasters and enhances the scientific nature of decision-making. The intelligent rescue command and service

基金项目：国家重点研发计划（2022YFC3005705）。
第一作者：刘纪平，博士，研究员，主要研究方向为应急地理信息服务、政务地理空间大数据、政务地理信息服务。liujip@casm.ac.cn
通信作者：王琢璐，博士生。47221053@stu.lntu.edu.cn