AI时代测绘新质生产力的构建

doi:10.11947/j.AGCS.2026.20260072

测绘学报 ›› 2026, Vol. 55 ›› Issue (6): 951-960.doi: 10.11947/j.AGCS.2026.20260072

• 综述 •

AI时代测绘新质生产力的构建

李清泉¹^,²^,³(), 徐开明⁴, 史文中⁵, 黄先锋⁶, 汪驰升¹^,²^,³()

^1.深圳大学建筑与城市规划学院，广东　深圳　518060
^2.自然资源部大湾区地理环境监测重点实验室，广东　深圳　518060
^3.广东省城市空间信息工程重点实验室，广东　深圳　518060
^4.莫干山地信实验室，浙江　德清　313200
^5.香港理工大学土地测量及地理空间科学系，香港　999077
^6.武汉大学测绘遥感信息工程全国重点实验室，湖北　武汉　430079

收稿日期:2026-02-24 修回日期:2026-06-05 发布日期:2026-07-28
通讯作者: 汪驰升 E-mail:liqq@szu.edu.cn;wangchisheng@szu.edu.cn
作者简介:李清泉（1965—），男，教授，博士生导师，中国工程院院士，研究方向为动态精密工程测量。E-mail：liqq@szu.edu.cn
基金资助:
云南省重点研发计划项目(202603AG380001);教育部基础学科和交叉学科突破计划空天信息与时空智能学科突破先导项目(JYB2025XDXM111);国家自然科学基金(42374018);广东省基础与应用基础研究基金(2025B1515020092);深圳市科技计划资助项目(KCXFZ20240903093000002; SYSPG20241211173845013)

Developing new-quality productive forces for surveying and mapping in the age of AI

Qingquan LI¹^,²^,³(), Kaiming XU⁴, Wenzhong SHI⁵, Xianfeng HUANG⁶, Chisheng WANG¹^,²^,³()

^1.School of Architecture and Urban Planning, Shenzhen University, Shenzhen 518060, China
^2.Key Laboratory for Geo-Environmental Monitoring of Great Bay Area, Ministry of Natural Resources, Shenzhen 518060, China
^3.Guangdong Key Laboratory of Urban Informatics, Shenzhen 518060, China
^4.Moganshan Geospatial Information Laboratory, Deqing 313200, China
^5.Department of Land Surveying and Geospatial Science, The Hong Kong Polytechnic University, Hong Kong 999077, China
^6.State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan 430079, China

Received:2026-02-24 Revised:2026-06-05 Published:2026-07-28
Contact: Chisheng WANG E-mail:liqq@szu.edu.cn;wangchisheng@szu.edu.cn
About author:LI Qingquan (1965—), male, professor, PhD supervisor, academician of Chinese Academy of Engineering, majors in dynamic and precise engineering surveying. E-mail: liqq@szu.edu.cn
Supported by:
Yunnan Provincial Key Research and Development Program Project(202603AG380001);Fundamental and Interdisciplinary Disciplines Breakthrough Plan of the Ministry of Education of China(JYB2025XDXM111);The National Natural Science Foundation of China(42374018);Guangdong Basic and Applied Basic Research Foundation(2025B1515020092);The Shenzhen Science and Technology Program(KCXFZ20240903093000002; SYSPG20241211173845013)

摘要/Abstract

摘要：

人工智能技术与泛在感知装备的快速发展，正在重塑测绘服务的需求结构、供给方式和组织模式。本文从新质生产力视角出发，分析AI时代测绘服务的新要求，提出测绘动态化、产品现势化与应用场景化3项核心特征；进一步讨论人工智能技术、无人测量装备和大众参与对测绘生产方式、质量评价与标准体系的影响。在此基础上，本文从产品体系、测绘标准、数据处理和场景适配4个层面阐释AI时代测绘新质生产力的内涵，并以测绘新公共产品和未知空间自主测绘为例，说明测绘生产组织模式的重构路径。笔者分析认为，培育测绘新质生产力的关键在于推动测绘服务由传统测绘保障向时空智能服务转型，进而促进测绘地理信息学科向时空智能科学演进。

关键词: 测绘新质生产力, 测绘动态化, 产品现势化, 应用场景化, 生产组织模式

Abstract:

The rapid development of artificial intelligence (AI) and ubiquitous sensing equipment is reshaping the demand structure, supply modes, and organizational models of surveying and mapping services. From the perspective of new-quality productive forces, this paper analyzes the new requirements placed on surveying and mapping services in the AI era and identifies three core characteristics: dynamic surveying and mapping, product currency, and scenario-oriented applications. It then discusses how AI technologies, unmanned surveying equipment, and public participation affect production modes, quality evaluation, and the reconstruction of standards. On this basis, the paper elaborates the connotations of new-quality productive forces in surveying and mapping from four dimensions: product systems, surveying and mapping standards, data processing, and scenario adaptation. Using new public geospatial products and autonomous surveying and mapping in unknown spaces as examples, it illustrates pathways for restructuring production organization models. The analysis suggests that the key to cultivating new-quality productive forces in surveying and mapping lies in shifting from traditional surveying-based support to spatiotemporal intelligent services, thereby promoting the evolution of surveying and mapping geographic information toward spatiotemporal intelligent science.

Key words: new-quality productive forces in surveying and mapping, dynamic surveying and mapping, product currency, scenario-oriented applications, production organization model

中图分类号:

李清泉, 徐开明, 史文中, 黄先锋, 汪驰升. AI时代测绘新质生产力的构建[J]. 测绘学报, 2026, 55(6): 951-960.

Qingquan LI, Kaiming XU, Wenzhong SHI, Xianfeng HUANG, Chisheng WANG. Developing new-quality productive forces for surveying and mapping in the age of AI[J]. Acta Geodaetica et Cartographica Sinica, 2026, 55(6): 951-960.

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链接本文: http://xb.chinasmp.com/CN/10.11947/j.AGCS.2026.20260072

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参考文献 26

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AI时代测绘新质生产力的构建

Developing new-quality productive forces for surveying and mapping in the age of AI

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