Dr. Lei Zou's research interests are mining geospatial Big Data to analyze and model human-environment interactions. He has involved in four National Science Foundation (NSF) funded projects and three projects funded by USGS, Louisiana Sea Grant, and Netherlands RAAK Public Grant. Increasingly frequent natural hazards and global environmental changes have posed huge challenges to the sustainability of human communities. Meanwhile, human behaviors are also changing the landscape and ecology of planet earth. Understanding the impacts and feedbacks between human and natural systems is the key to build a sustainable future for both systems. To build disaster resilience and long-term sustainability, his research focuses on (1) developing algorithms to derive practical indices from location-based social media data and utilizing those indices to enhance disaster resilience and emergency management; (2) applications of Deep Learning in automatic tagging and information extraction of social media data; (3) coupled natural-human system modeling for population dynamics, land loss and urban growth; and (4) developing estimation models of community resilience to multiple types of natural hazards.
- Louisiana State University - (Baton Rouge, Louisiana, United States), Postdoctoral Training 2018
- D.Phil. in Environmental Science, Louisiana State University - (Baton Rouge, Louisiana, United States) 2017
- M.A.Sc. in GIS, Chinese Academy of Sciences - (Beijing, Beijing, China) 2013
- B.A.S. in Remote Sensing, Wuhan University - (Wuhan, China) 2010
- Mihunov, V. V., Lam, N., Zou, L., Wang, Z., & Wang, K. (2020). Use of Twitter in disaster rescue: lessons learned from Hurricane Harvey. International Journal of Digital Earth. 13(12), 1-13.
- Correll, R. M., Lam, N., Mihunov, V. V., Zou, L., & Cai, H. (2020). Economics over Risk: Flooding Is Not the Only Driving Factor of Migration Considerations on a Vulnerable Coast. Annals of the American Association of Geographers. 111(1), 1-16.
- Mihunov, V. V., Lam, N., Rohli, R. V., & Zou, L. (2019). Emerging disparities in community resilience to drought hazard in south-central United States. International Journal of Disaster Risk Reduction. 41, 101302-101302.
- Zhang, B., Chen, Z., Peng, D., Benediktsson, J. A., Liu, B. o., Zou, L., Li, J., & Plaza, A. (2019). Remotely Sensed Big Data: Evolution in Model Development for Information Extraction. Proceedings of the IEEE. 107(12), 2294-2301.
- Li, R., Crowe, J., Leifer, D., Zou, L., & Schoof, J. (2019). Beyond big data: Social media challenges and opportunities for understanding social perception of energy. Energy Research & Social Science. 56, 101217-101217.
- Lam, N., Xu, Y. J., Pace, R. K., Liu, K., Qiang, Y. i., Narra, S., ... Mihunov, V. (2019). Collaboration Across Boundaries: Reflections on Studying the Sustainability of the Mississippi River Delta as a Coupled Natural-Human System. Perz, S. G. (Eds.), Collaboration Across Boundaries for Social-Ecological Systems Science. (pp. 361-393). Springer International Publishing.
- Chen, X., Zou, L., & Zhao, B. o. (2019). Detecting Climate Change Deniers on Twitter Using a Deep Neural Network. Part F148150, 204-210.
- Lam, N., Qiang, Y. i., Li, K., Cai, H., Zou, L., & Mihunov, V. (2018). Extending Resilience Assessment to Dynamic System Modeling: Perspectives on Human Dynamics and Climate Change Research. Journal of Coastal Research. 85(sp1), 1401-1405.
- Lei, Z., Bing, Z., Junsheng, L. i., Qian, S., Fangfang, Z., & Ganlin, W. (2014). A Study on Retrieval Algorithm of Black Water Aggregation in Taihu Lake Based on HJ-1 Satellite Images. IOP Conference Series Earth and Environmental Science. 17(1), 012100-012100.
- Zou, L., Zhang, B., Li, J., Song, Y., Shen, Q., & Li, L. (2012). A COMPARATIVE ANALYSIS of THE ‘TRANSMITTANCE’ METHOD BETWEEN USING INTEGRATING SPHERE AND FILTER HOLDERS FOR MEASURING LIGHT ABSORPTION BY AQUATIC PARTICLES. 2012 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS). 1, 2567-2570.
- Li, J., Zhang, B., Shen, Q., Zou, L., & Li, L. (2012). MONITORING WATER QUALITY OF LAKE TAIHU FROM HJ-CCD DATA USING EMPIRICAL MODELS. 2012 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS). 1, 812-815.