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

doi:10.11947/j.AGCS.2026.20260072

Abstract

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

CLC Number:

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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References 26

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