Welcome Speech delivered by Prof. Wu Chen, Department Head. Prof. Chen also exchanged commemorative gifts on behalf of LSGI with BNU and WHU.
Sharing and discussion session by BNU, WHU and LSGI academic staff and students.
Final project presentation session at BNU Zhuhai campus.
Visit to SenseTime’s AI platform showcase and attend a roundtable with experts at the Shenzhen Planning and Natural Resources Data Management Center.
From 5 to 11 August 2025, the Department of Land Surveying and Geo-Informatics (LSGI) co-hosted a Summer School on Geographic Information Science and Remote Sensing together with the Faculty of Geographical Science at Beijing Normal University (BNU) and the School of Resource and Environmental Sciences at Wuhan University (WHU). Centered in Hong Kong, Zhuhai, and Shenzhen, the programme drew enthusiastic participation from students and faculty across the three institutions, aiming to foster academic exchange and hands-on collaboration in GIS and remote sensing.
The Summer School featured rich, diverse activities. Preparatory work began in July with online proposal presentations and mid-term progress reports by mixed-school student teams, guided by faculty advisors from all three universities. On 5 August, BNU and WHU participants arrived in Hong Kong for an in-person meet-and-greet with LSGI. Professor Chen Wu delivered welcome remarks. Faculty members introduced each university’s strengths and developments in GIS and remote sensing, while students shared their learning experiences and campus life.
On 6 August, the delegation attended the Global Smart City Summit & the 4th International Conference on Urban Informatics (GSCS & ICUI 2025), where renowned scholars from China and abroad delivered keynote talks, offering students cutting-edge perspectives and a platform for exchange.
From 7 to 9 August, the programme moved to Zhuhai, where a series of thematic lectures and project workshops were held at Beijing Normal University, Zhuhai. Topics covered included smart cities, satellite-based spatial monitoring, vegetation phenology remote sensing, atmospheric environment remote sensing, and remote sensing for suspicious or anomalous objects. On 9 August, student teams presented their final project outcomes, spanning themes such as the Greater Bay Area’s infrastructure impacts on spatial and ecological patterns, aging in high-density cities, residential socio-economic segregation, urban morphology from night-time lights, and machine learning models for typhoon loss estimation.
On 10–11 August, participants visited Shenzhen. They toured the Shenzhen Museum of Contemporary Art and Urban Planning to learn about the city’s planning practices and the history of reform and opening-up. On 11 August, the group held a roundtable with experts from the Shenzhen Planning and Natural Resources Data Management Center to discuss planning and technological innovation for smart city development. They also visited SenseTime, a global leader in AI platforms, to hear about the latest deep learning applications in smart cities and public safety, gaining first-hand exposure to industry frontiers.
