Mr. Su Cao| Big Data | Best Researcher Award
China University of Mining and Technology | China
Mr. Su Cao is a dedicated researcher in the field of Surveying and Mapping Science and Technology, currently pursuing his doctoral studies at the China University of Mining and Technology, Beijing. He earned his undergraduate degree in Surveying and Mapping Engineering from Jilin University and completed his master’s degree at Lanzhou Jiaotong University. With a strong academic foundation, his research focuses on multimodal data fusion, urban green space analysis, and sustainable urban planning. He has developed innovative methods for identifying and extracting the social functions of urban green spaces, constructing temporal change models with multi-level spatial gradients, and creating SDG-guided simulation approaches to predict future changes in green space distribution. His findings provide critical insights into Shanghai’s evolving green space patterns, highlighting the dominance of residential, commercial, and industrial green areas, while projecting long-term growth in conservation and community parks. Su Cao’s scholarly contributions include several high-quality publications as first author in leading journals such as Ecological Indicators, International Journal of Digital Earth, and ISPRS International Journal of Geo-Information. His research on the spatiotemporal evolution of social functions in multi-scale urban green spaces offers a valuable case study of Shanghai’s urban transformation. To date, his work has received 23 citations across 23 documents, reflecting strong academic recognition, and he has achieved an h-index of 2. At the age of 30, he demonstrates a combination of technical expertise, innovation, and future-oriented vision, contributing significantly to the advancement of geoinformatics, urban ecology, and sustainable city planning. With his growing achievements and impactful research, Su Cao is well-positioned to emerge as a leading scholar in his field, driving progress in the understanding and management of urban green infrastructure.
Featured Publications
Author(s). (2024). Multi-type and fine-grained urban green space function mapping based on BERT model and multi-source data fusion. International Journal of Digital Earth. Advance online publication.