 | Prof. John SHI 史文中教授 Director of Otto Poon Charitable Foundation Smart Cities Research Institute; Chair Professor of Geographical Information Science and Remote Sensing, The Hong Kong Polytechnic University 香港理工大學潘樂陶慈善基金智慧城市研究院院長、地理資訊科學與遙感講座教授 |
Biography 簡歷
Professor Shi is currently Chair Professor in Geographic Information Science and Remote Sensing, and the Director of Smart Cities Research Institute, The Hong Kong Polytechnic University.
His research covers urban informatics for smart cities, geographic information science and remote sensing, AI-based object recognition and change detection from satellite imagery, intelligent analytics and quality control for spatial big data, and mobile mapping and 3-D modelling based on LiDAR and imagery. He has published over 300 research articles in journals indexed by Web of Science and 20 books. He is among the worldly top 2% (specifically, 0.27%) cited researchers. He has over 60 patents granted.
He earned his doctoral degree from Germany in 1994. He serves as President of International Society for Urban Informatics and Editor-in-Chief of Urban Informatics. He is Academician of International Eurasian Academy of Sciences, Fellow of Academy of Social Sciences (UK) and Fellow of Chinese Society for Geodesy, Photogrammetry, and Cartography.
Professor Shi has won State Natural Science Award, China’s highest award for fundamental science, in 2007; Founder’s Award by International Spatial Accuracy Research Association in 2020; and Gold Medal in 2021 & 2023 International Expos of Inventions of Geneva.
史文中教授現職地理信息科學與遙感講座教授、香港理工大學智慧城市研究院院長、香港理工大學─深圳技術創新研究院（福田）院長。
研究領域涵蓋城市信息學與智慧城市、地理信息科學與遙感、遙感影像人工智能變化檢測及目標識別、空間大數據分析與質量控制，以及基於光學雷達和影像數據的移動測圖與三維建模。已發表SCI國際學術期刊論文300餘篇，出版著作20本。為全球前2%高被引學者，其中地質與測繪大類引用居前0.27%。獲專利授權60餘項。
現任國際城市信息學會主席、國際期刊《城市信息學》主編。為國際歐亞科學院院士，英國社會科學院院士，教育部“長江學者”講座教授，中國測繪學會會士，英國皇家測量師學會、香港測量師學會會士。
獲2007年國家自然科學獎（二等獎）、2020年國際空間精度研究學會“奠基人獎”、2021及2023年日內瓦國際發明展金獎、2017年測繪科技進步獎（特等獎）、2012年國際攝影測量與遙感學會獎等
| Topic 講題 | The Development of Low-Altitude Economy from the Perspective of Geospatial Data 從地理空間數據的角度支撐低空經濟的發展 |
Abstract 撮要 | The low-altitude economy, as an emerging economic model that utilizes airspace below 1,000 meters, is rapidly becoming a key engine driving the future development of cities and regions. Encompassing drones, urban air mobility (UAM), and other aerial activities, this burgeoning sector is expected to bring revolutionary transformations to logistics, transportation, and a wide range of public services. However, the safe, efficient, and orderly growth of the low-altitude economy fundamentally depends on the solid support of geospatial data.
This lecture will examine the critical role of geospatial information in fostering and shaping the low-altitude economy. It will provide an in-depth analysis of its core applications, including the development of three-dimensional digital airspace maps for refined airspace planning, dynamic flight path optimization for aircraft, and real-time obstacle avoidance. In addition, the lecture will discuss how the integration of high-precision geographic vector data, 3D models, LiDAR, and other multi-source geospatial datasets can provide high-quality data infrastructure to support low-altitude economy applications. 低空經濟，作為一個利用1000米以下空域的新興經濟形態，正迅速成為推動未來城市與區域發展的重要引擎。這個涵蓋了無人機、城市空中交通（UAM）及其他空中活動的新興領域，預期將為物流、交通及多樣化的公共服務帶來革命性的變革。然而，低空經濟的安全、高效與有序發展，根本上依賴於地理空間數據的堅實支撐。本次講座將探討地理空間數據在催生與塑造低空經濟中所扮演的關鍵角色。內容將深入剖析其核心應用領域，包括為精細化空域規劃而建構的三維數位空域地圖、飛行器的動態航線優化、即時障礙物規避等。此外，講座亦將闡述如何整合高精度地理矢量數據、三維模型、激光雷達（LiDAR）等多源地理空間數據，為低空經濟應用提供高質量數據基礎設施。
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