Huguohua

2015.12 - 2016.12:     Arizona State University

                Visiting Scholar, School of Sustainability

2012.09 - 2017.07:     Sun Yat-sen University

                Ph.D., Cartography and Geographic Information System

2008.09 - 2012.07:     Sun Yat-sen University

                B.S., Cartography and Geographic Information System

2021.10 -             :    East China Normal University

                                   Associate Professor,School of Geographic Sciences

2018.01 - 2021.09:    East China Normal University

                                   Post Doctor, School of Geographic Sciences

  Research Interests

（1）Land use modeling and land sustainability

（2）Agent-based modeling（ABM）         

（3）Urban remote sensing

1.   2020-2022,NSFC, No. 41901322. (PI)
      Land use change simulation model under SSPs framework and its application in ecological assessment of Yangtze River economic belt

2.   2018-2019, ECNU-BRGD, No. 201801. (PI)
      Climate change impacts on one country's one belt, one road potential food production potential assessment and risk prediction

3.   2022-2026, NSFC (Key program), No. 42130107. (Co-PI)
      Spatial simulation of future global urban expansion and its impact on key objectives of sustainable development

Representative work

 1. Hu G., Li X.*, Zhou B.*, Ma Q., Meng X., Liu Y., Chen Y. & Liu X. (2020). How to minimize the impacts of urban expansion on farmland loss: developing a few large or many small cities?. Landscape Ecology, Vol.35, No.11, pp.2487-2499. 

 2. Liu X.¹, Hu G.¹, Chen Y.*, Li X.*, Xu X., Li S., Pei F. & Wang S. (2018). High-resolution multi-temporal mapping of global urban land using Landsat images based on the Google Earth Engine Platform. Remote Sensing of Environment, Vol.209, pp.227-239.

 3. Liu X., Hu G.*, Ai B., Li X., Tian G., Chen Y. & Li S. (2018). Simulating urban dynamics in China using a gradient cellular automata model based on S-shaped curve evolution characteristics. International Journal of Geographical Information Science, Vol.32, No.1, pp.73-101.

 4. Liang X., Tian H., Li X.*, Huang J., Clarke K. C., Yao Y., Guan Q. & Hu G.* (2021). Modeling the dynamics and walking accessibility of urban open spaces under various policy scenarios. Landscape and Urban Planning, Vol.207, p.103993.

 5. Luo M., Hu G.*, Chen G., Liu X., Hou H. and Li X.* (2022). 1 km land use/land cover change of China under comprehensive socioeconomic and climate scenarios for 2020–2100. Scientific Data, Vol.9(1), pp.110. 

Other Collaborative work

 1. Li, P.*, Hu, G., Turner, B. L., & Zhang, Y. (2023). Modeling trade-offs among ecosystem services for agriculture in the “sisal belt” of Kilosa, central Tanzania. Landscape Ecology, 1-19. 

 2. Meng, X., Li, X.*, Hu, G., Zhang, Z., Zhang, H., Huang, C., & Han, J. (2023). Toward integrated governance of urban CO2 emissions in China: Connecting the “codes” of global drivers, local causes, and indirect influences from a multi-perspective analysis. Cities, 134, 104181.

 3. Li, X.*, Chen, G., Zhang, Y., Yu, L., Du, Z., Hu, G., & Liu, X. (2022). The impacts of spatial resolutions on global urban-related change analyses and modeling. Iscience, 25(12), 105660.

 4. Li, M., Zhou, B. B., Gao, M., Chen, Y., Hao, M., Hu, G., & Li, X*. (2022). Spatiotemporal dynamics of global population and heat exposure (2020–2100): based on improved SSP-consistent population projections. Environmental Research Letters, 17(9), 094007.

 5. Liu, X., Zhang, J., Zhang, H., Tang, D., Hu, G., & Li, X*. (2022). China’s mismatch of public awareness and biodiversity threats under economic trade. Environmental Science & Technology, 56(13), 9784-9796.

 6. Hou, H., Zhou, B. B., Pei, F., Hu, G., Su, Z., Zeng, Y., Zhang, H., Gao, Y., Luo, M., & Li, X*. (2022). Future land use/land cover change has nontrivial and potentially dominant impact on global gross primary productivity. Earth's Future, 10(9), e2021EF002628.

 7. Gao, Y., Zhao, H.*, Zhao, C., Hu, G., Zhang, H., Liu, X., Li, N., Hou, H., & Li, X*. (2022). Spatial and temporal variations of maize and wheat yield gaps and their relationships with climate in China. Agricultural Water Management, 270, 107714.

 8. Liu X., Huang Y., Xu X., Li X., Li X.*, Ciais P., Lin P., Gong K., Ziegler A. D., Chen A., Gong P., Chen J., Hu G., Chen Y., Wang S., Wu Q., Huang K., Estes L. & Zeng Z.* (2020). High-spatiotemporal-resolution mapping of global urban change from 1985 to 2015. Nature Sustainability, Vol.3, No.7, pp.564-570.

 9. Liu X.*, Hu G., Ai B., Li X. & Shi Q. (2015). A Normalized Urban Areas Composite Index (NUACI) based on combination of DMSP-OLS and MODIS for mapping impervious surface area. Remote Sensing, Vol.7, No.12, pp.17168-17189.

10. Liu Y., Liu L., Zhu A., Lao C., Hu G. & Hu Y.* (2020). Scenario farmland protection zoning based on production potential: A case study in China. Land Use Policy, Vol.95, p.104581.

11. Zhang Y., Liu X.*, Chen G. & Hu G. (2020). Simulation of urban expansion based on cellular automata and maximum entropy model. Science China. Earth sciences, Vol.63, No.5, pp.701-712.

12. Ma Q., Wu J.*, He C.* & Hu G. (2019). Spatial scaling of urban impervious surfaces across evolving landscapes: From cities to urban regions. Landscape and Urban Planning, Vol.187, pp.132-144.

13. Liu Y., Zhu A., Wang J., Li W., Hu G. & Hu Y.* (2019). Land-use decision support in brownfield redevelopment for urban renewal based on crowdsourced data and a presence-and-background learning (PBL) method. Land Use Policy, Vol.88, p.104188.

14. Chen Y., Liu X., Li X.*, Liu X., Yao Y., Hu G., Xu X. & Pei F. (2017). Delineating urban functional areas with building-level social media data: A dynamic time warping (DTW) distance based k-medoids method. Landscape and Urban Planning, Vol.160, pp.48-60.

15. Li X., Lu H., Zhou Y., Hu T., Liang L., Liu X., Hu G. & Yu L*. (2017). Exploring the performance of spatio-temporal assimilation in an urban cellular automata model. International Journal of Geographical Information Science, Vol.31, No.11, pp.2195-2215.

16. Liu L., Liu Y.*, Wang X., Yu D., Liu K., Huang H. & Hu G. (2015). Developing an effective 2-D urban flood inundation model for city emergency management based on cellular automata. Natural Hazards and Earth System Sciences, Vol.15, No.3, pp.381-391.

17. Ai B., Liu X.*, Hu G. & Li X. (2014). Improved sub-pixel mapping method coupling spatial dependence with directivity and connectivity. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol.7, No.12, pp.4887-4896.

18. 彭晓鹃、胡国华*、陈明辉：《基于模拟退火算法的遥感影像亚像元定位方法》，《测绘通报》2013年第9期，第55-58页。[Peng X., Hu G. & Chen M. (2013). Sub-pixel Mapping Method Based on Simulated Annealing Algorithm. Bulletin of Surveying and Mapping, Vol., No.9, pp.55-58.]

19. 李丹、胡国华、黎夏*、刘小平、丁冠乔、蔡玉梅：《耦合地理模拟与优化的城镇开发边界划定》，《中国土地科学》2020年第05期，第104-114页。[Dan L. I., Guohua H. U., Xia L. I., Xiaoping L., Guanqiao D. & Yumei C. (2020). Delineating Urban Development Boundaries (UDBs) by Coupling Geographical Simulation and Spatial Optimization. China Land Science, Vol.34, No.05, pp.104-114.]

20. 周兵兵、马群*、邬建国、胡国华、毛德华、曾小箕、郭杰、房学宁、刘宇鹏、吕立刚：《再论可持续性科学:新形势与新机遇》，《应用生态学报》2018年第1期，第325-336页。

21. 马世发、裴新生、姚凯、胡国华：《基于生态空间胁迫的大都市区增长情景模拟》，《地球信息科学学报》2017年第01期，第20-27页。