Abstract: The low-altitude economy constitutes a pivotal intersection between China's strategic emerging industrial clusters and the advancement of national security capabilities in novel domains.Its high-quality development critically depends on precise,dynamic spatio-temporal intelligence underpinned by surveying,mapping,and geospatial information technologies.This paper focuses on a four-element collaborative architecture—encompassing airspace,aerial route networks,takeoff and landing facilities,and unmanned systems—and systematically examines the technological evolution of geospatial information in constructing human-environment systems for low-altitude operations,advancing digital twin methodologies,and enabling multimodal intelligent sensing frameworks.It delineates the developmental trajectory of spatio-temporal intelligence and its empowering mechanisms in key operational functions such as airspace planning and real-time traffic management.Through case studies in representative applications—including low-altitude logistics and emergency response—the study evaluates the enabling efficacy of these technologies alongside persistent challenges such as data latency and interoperability gaps.Building on this analysis,the paper proposes forward-looking pathways:an integrated “communication-sensing-computing-intelligence” closed-loop system,standardized frameworks for dynamic digital foundations,and a mapping-as-a-service (MaaS)ecosystem.These strategies aim to transition geospatial information from static data provisioning toward intelligent,decision-ready services,thereby providing core impetus for the new-quality development of geospatial information and building a high-quality intelligent support system for the low-altitude economy.

Key words: spatio-temporal intelligence, low-altitude economy, multi-modal sensing, low-altitude digital twin, mapping-as-a-service