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Spatio−temporal intelligence boosts the development of new quality productive forces
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Deren LI, Haonan GUO*
Science & Technology Review | 2025, 43(24) : 27 - 34
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Science & Technology Review | 2025, 43(24): 27-34
Special to S & T Review
Spatio−temporal intelligence boosts the development of new quality productive forces
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Deren LI, Haonan GUO*
Affiliations
  • State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan 430079, China
Published: 2025-12-28 doi: 10.3981/j.issn.1000-7857.2024.12.01817
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The definition of spatio−temporal Intelligence (STI) is presented, and its characteristics of digitalization, informatization, networking, intelligence, and real−time performance in geomatics, remote sensing, and geographic information science are revealed, as well as its significant position in the field of artificial intelligence. The innovative evolution of STI from positioning, navigation, and timing (PNT) services to positioning, navigation, timing, remote sensing, and communication (PNTRC) services is reviewed and discussed. Furthermore, the application cases of STI in various fields, including the low−altitude economy, public safety and health, autonomous driving and robotics, smart grids and smart factories, forest and grassland monitoring, intelligent management of national parks, and emergency management, are explored. The important role of STI in promoting the development of new quality productive forces is demonstrated.

spatio−temporal intelligence  /  positioning, navigation, timing, remote sensing, and communication (PNTRC)  /  oriental smart eye  /  artificial intelligence
Deren LI, Haonan GUO. Spatio−temporal intelligence boosts the development of new quality productive forces[J]. Science & Technology Review, 2025 , 43 (24) : 27 -34 . DOI: 10.3981/j.issn.1000-7857.2024.12.01817
Year 2025 volume 43 Issue 24
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doi: 10.3981/j.issn.1000-7857.2024.12.01817
  • Receive Date:2024-12-23
  • Online Date:2026-01-14
  • Published:2025-12-28
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  • Received:2024-12-23
  • Revised:2025-06-04
Affiliations
    State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan 430079, China
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表12种不同金属材料的力学参数

Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
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Genus
种数
Number of
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占总种数比例
Percentage of total
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鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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