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Welcome to the Geoinformation and Big Data Research Lab

The Geoinformation and Big Data Research Lab (GIBD) focuses on geospatial big data processing and analytics, high-performance computing, and geospatial cyberinfrastructure/CyberGIS within the area of data and computational intensive GISciences. By integrating cutting-edge computing technologies, geospatial methods, and spatiotemporal principles, the GIBD Lab aims to advance knowledge discovery and decision making to support domain applications such as climate change studies, disaster management, human mobilities, and public health.

A high-performance big data computing cluster, established by Dr. Zhenlong Li and hosted at the Research Computing Center of College of Arts and Sciences, serves as a testbed for geospatial big data processing and computing-intensive research and applications. This cluster consists of 13 computer servers with 108 CPU cores, 416 GB RAM memory, and 64 Terabytes of storage. The Lab is also equipped with a Deep Learning Workstation powered by  two high-end NVIDIA Titan XP GPUs ( 7680 CUDA Cores and 24 GB high speed memory).

The Department of Geography at the University of South Carolina is among the top geography programs in the nation with strong GIScience research. The lab has access to the departmental resources including 70 high-end desktop computers equipped with the latest GIS, remote sensing, spatial analysis, computing and statistical software tools such as the ESRI and ERDAS suite of GIS packages and special-purpose software tools for hyperspectral remote sensing, LiDAR data processing, and visualization.

What’s new

Huan Ning Wins the USGIF/NVIDIA Essay Challenge

“Tagging the Earth with High Resolution Imagery and Deep Learning.”

Call for Papers: Special Issue on “Social Sensing and Big Data Computing for Disaster Management” in International Journal of Digital Earth(IJDE)

Recent Publications

Understanding Demographic and Socioeconomic Bias of Geotagged Twitter Users at the County LevelCartography and Geographic Information Science

More…


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