EN
学院绩效管理系统
师资概况 高层次人才 教职员工 2025招生导师名单 人才招聘
教职员工
教授（研究员） 副教授（副研究员） 讲师（助理教授） 高等研究院 实验教师 思政教师 行政教师 博士后 荣退荣休教师
冯永玖
教授，博士生导师
空间要素建模与深空探测应用

冯永玖，同济大学长聘教授、博士生导师，入选国家级青年人才计划、自然资源部高层次人才工程、上海市人才发展资金资助计划等。长期从事地理信息系统建模与空间分析、合成孔径雷达摄影测量、月球和火星雷达探测等方面的研究工作，在城市典型要素遥感监测与模拟推演关键技术、合成孔径雷达几何定标和深空次表层雷达探测关键技术等方面取得了系列成果。主持国家自然科学基金、万人计划青年拔尖人才项目等国家级项目5项，在国际SCI期刊发表高水平论文80余篇（其中第一/通讯65篇），出版专著2部，授权发明专利18项，授权软著7件；获教育部科技进步二等奖１项，上海市优秀教学成果一等奖1项，全国高校GIS优秀教学成果奖2项。

Email：yjfeng@tongji.edu.cn

研究方向：
—————————————————————————————————————
地理信息系统建模与空间分析
遥感几何定标与地物监测
月球和深空雷达遥感探测


教育背景：
—————————————————————————————————————
2009.1 – 2009.3  新加坡南洋理工大学  专业：地理信息系统（博士交流）
2006.3 – 2009.3  同济大学         博士，专业：地图制图学与地理信息工程
2002.9 – 2005.3  同济大学         硕士，专业：土地资源管理
1998.9 – 2002.7  同济大学         本科，专业：测绘工程


海外经历：
—————————————————————————————————————
2015.11 – 2016.11  澳大利亚昆士兰大学  访问学者
2017.10 – 2020.10  澳大利亚昆士兰大学  荣誉副教授


学术任职：
—————————————————————————————————————

中国测绘学会卫星遥感应用工作委员会副主任委员（2022-至今）
中国测绘学会大数据与人工智能工作委员会委员（2020-至今）
中国测绘学会教育工作委员会委员（2022-至今）
中国地理信息产业协会GIS理论与方法工作委员会委员（2020-至今）
全国虚拟仿真实验教学创新联盟测绘类专业工作委员会副主任委员（2021-至今）


奖励荣誉：
—————————————————————————————————————
入选国家级青年人才计划（2021）
入选自然资源部高层次人才工程（2021）
入选上海市人才发展资金资助计划（2021）
全国高校GIS创新人物（2018）


入选全球前2%顶尖科学家生涯影响力排行榜（2023）
入选全球前2%顶尖科学家年度影响力排行榜（2020，2021，2022,2023）
参获中国测绘科技进步一等奖（2023）
参获教育部科学技术进步二等奖（2018）

国家级教学成果二等奖（2023）
上海市教学成果一等奖（2022）
全国教育系统先进集体, 主要成员（2019）
入选首批教育部全国高校党支部书记双带头人（2018，首批全国遴选100 名）
全国高校GIS优秀教学成果奖（2020，排1；2022，排2）

同济大学光华奖学金（博士，2009）
同济大学优秀毕业研究生（博士，2009）


代表性著作：
—————————————————————————————————————

  1. Yongjiu Feng, Shurui Chen, Xiaohua Tong*, Chao Wang, Pengshuo Li, Mengrong Xi, Changjiang Xiao. (2023). Exploring the Lunar Regolith's Thickness and Dielectric Properties Using Band-Limited Impedance at Chang’E-4 Landing Site.Joural of Geophysical Research: Planets, 128(3): e2022JE007540. (SCI,AGU旗舰期刊)

  2. Yongjiu Feng， Yuze Cao, Xiaohua Tong*, Peiqi Wu, Shurui Chen, Pengshuo Li, Rong Wang. (2023). High-accuracy lunar global brightness-temperature mapping using third-order Fourier fitting and co-kriging interpolation. Icarus, 115646.(SCI, 深空领域著名期刊)

  3. Yongjiu Feng, Xiaohua Tong*. (2020). A new cellular automata framework of urban growth modeling by incorporating statistical and heuristic methods. International Journal of Geographical Information Science, 34(1), 74-97. (SCI, 地理信息系统国际权威期刊)

  4. Xiaohua Tong*, Yongjiu Feng*. (2020). A review of assessment methods for cellular automata models of land-use change and urban growth. International Journal of Geographical Information Science, 34(5), 866-898. (SCI, 地理信息系统国际最权威期刊)

  5. Chen Gao, Yongjiu Feng*, Mengrong Xi, Rong Wang, Pengshuo Li, Xiaoyan Tang, & Xiaohua Tong. (2023). An improved assessment method for urban growth simulations across models, regions, and time. International Journal of Geographical Information Science, 37(11), 2345-2366. (SCI, 地理信息系统国际最权威期刊)

  6. Yongjiu Feng, Liu Y. (2013). A heuristic cellular automata approach for modelling urban land-use change based on simulated annealing. International Journal of Geographical Information Science, 27(3): 449–466. (SCI,地理信息系统国际权威期刊)

  7. Yongjiu Feng*. (2017). Modelling dynamic urban land use change with geographical cellular automata and generalized pattern search optimized rules. International Journal of Geographical Information Science, 31(6): 1198-1219. (SCI, 地理信息系统国际权威期刊)

  8. Yongjiu Feng, Chen Gao, Rong Wang, Mengrong Xi, Pengshuo Li, Yanmin Jin, Xiaohua Tong*. (2022). A moving window-based spatial assessment method of dynamic urban growth simulations. Geocarto International, 37(27): 15282-15301.(SCI).

  9. Zhenkun Lei,Yongjiu Feng*,Mengrong Xi,Xiaohua Tong, Jiafeng Wang,Huan Xie,Xiong Xu,Chao Wang,Yanmin Jin.(2024). High-precision geometric calibration model for spaceborne SAR using geometrically constrained GCPs.IEEE Transactions on Geoscience and Remote Sensing, doi: 10.1109/TGRS.2023.3345021.

  10. Yongjiu Feng, Zhenkun Lei, Xiaohua Tong*, Pengshuo Li, Mengrong Xi. (2022). An improved geometric calibration model for spaceborne SAR systems with a case study of large-scale Gaofen-3 images. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, DOI: 10.1109/JSTARS.2022.3198414 (SCI)

  11. Yongjiu Feng, Jiafeng Wang, Rong Wang, Xiaohua Tong*, Shurui Chen, Zhenkun Lei, Pengshuo Li, Mengrong Xi.(2022). Evaluation of typhoon-induced inundation losses associated with LULC using multi-temporal SAR and optical images. Geomatics, Natural Hazards and Risk, 2227-225,(SCI, IF=3.528)

  12. Pengshuo Li, Yongjiu Feng*, Xiaohua Tong, Shuting Zhai, Yan Tang, Weijia Liu. (2022). Spatial planning-constrained modeling of urban development in the Yangtze River Delta considering the internal information flow. GIScience & Remote Sensing, (SCI)

  13. Yongjiu Feng, Yilun Zhou, Yanling Chen, Pengshuo Li, Mengrong Xi, Xiaohua Tong*. (2021). Automatic GCP selection for refinement and reflattening in InSAR DEM generation. International Journal of Digital Earth, https://doi.org/10.1080/17538947.2022.2070678, (SCI)

  14. Yongjiu Feng*, Peiqi Wu, Xiaohua Tong, Rong Wang, Yilun Zhou, Pengshuo Li, Jiafeng Wang, Jinyu Zhao. (2021). The effects of factor generalization scales on the reproduction of dynamic urban growth. Geo-spatial Information Science, (SCI)

  15. Qingmei Li, Yongjiu Feng*, Xiaohua Tong, Yilun Zhou, Peiqi Wu, Huan Xie, Yanming Jin*, Peng Chen, Shijie Liu, Xiong Xv, Sicong Liu, Chao Wang. (2021). Firefly algorithm-based cellular automata for reproducing urban growth and predicting future scenarios. Sustainable Cities and Society, 76, 103444, (SCI)

  16. Yongjiu Feng*, Xiaohua Tong. (2018). Dynamic land use change simulation using cellular automata with spatially nonstationary transition rules. GIScience & Remote Sensing, 55(5), 678-698. (SCI)

  17. Shurui Chen, Yongjiu Feng*, Xiaohua Tong*, Rong Wang, Shuting Zhai, Chen Gao, Zhenkun Lei. (2020). A cellular automata approach of urban sprawl simulation with Bayesian spatially-varying transformation rules. GIScience & Remote Sensing, 57(7): 924-942. (SCI)

  18. Yongjiu Feng, Xiaohua Tong*. (2019). Incorporation of spatial heterogeneity-weighted neighborhoods into cellular automata for dynamic urban growth simulation. GIScience & Remote Sensing, 56(7), 1024-1045. (SCI)

  19. Yongjiu Feng*, Shurui Chen, Xiaohua Tong*, Zhenkun Lei, Chen Gao, Jiafeng Wang. (2020). Modeling changes in China’s 2000-2030 carbon stock caused by land use change. Journal of Cleaner Production, 252, 119659 (SCI)

  20. Chen Gao, Yongjiu Feng*, Xiaohua Tong*, Yanmin Jin, Song Liu, Peiqi Wu, Zhen Ye, Cairong Gu. (2020). Modeling urban encroachment on ecological land using cellular automata and cross-entropy optimization rules. Science of the Total Environment, 140996 (SCI)

  21. Shurui Chen, Yongjiu Feng*, Xiaohua Tong*, Song Liu, Huan Xie, Chen Gao, Zhenkun Lei. (2020). Modeling ESV loss caused by  land use change using cellular automata and geographically weighted regression. Science of the Total Environment, 712, 136509 (SCI)

  22. Yongjiu Feng, Qianqian Yang, Xiaohua Tong*, Lijuan Chen. (2018). Evaluating ecological security and examining its relationships with driving factors using GIS and generalized additive model. Science of the Total Environment, 633, 1469–1479. (SCI)

  23. Yongjiu Feng*, Rong Wang, Xiaohua Tong, Shuting Zhai*. (2020). Comparison of change and static state as the dependent variable for modeling urban growth. Geocarto International, 10.1080/10106049.2021.1959657 (SCI)

  24. Xinlei Yan, Yongjiu Feng*, Xiaohua Tong, Peiqi Wu, Yilun Zhou, Pengshuo Li, Huan Xie, Yanming Jin, Peng Chen, Shijie Liu, Xiong Xv, Sicong Liu, Chao Wang. (2021). Reducing spatial autocorrelation in the dynamic simulation of urban growth using eigenvector spatial filtering. International Journal of Applied Earth Observation and Geoinformation, 102, 102434 (SCI)

  25. Siqin Wang, Yan Liu*, Yongjiu Feng*, Zhenkun Lei. (2021) Urban growth and human settlement in coastal regions with an adaption to sea level rise. International Journal of Digital Earth, 10.1080/17538947.2021.1946178 (SCI)

  26. Rong Wang, Yongjiu Feng*, Xiaohua Tong, Jiajun Zhao, Shuting Zhai. (2021) Impacts of spatial scale on the delineation of spatiotemporal urban expansion. Ecological Indicators, 10.1016/j.ecolind.2021.107896 (SCI, IF=4.958)

  27. Jiafeng Wang, Yongjiu Feng*, Zhen Ye*, Xiaohua Tong, Rong Wang, Chen Gao, Shurui Chen, Zhenkun Lei, Song Liu. (2020). Simulating the effect of urban light rail transit on urban growth by coupling cellular automata and conjugate gradients. Geocarto International, DOI:10.1080/10106049.2020.1726508 (SCI)

  28. Yongjiu Feng*, Zhenkun Lei, Xiaohua Tong*, Chen Gao, Shurui Chen, Jiafeng Wang, Siqin Wang. (2020). Spatially-explicit modeling and intensity analysis of China's land use change 2000-2050. Journal of Environmental Management, 263(1): 110407 (SCI)

  29. Zhenkun Lei, Yongjiu Feng*, Xiaohua Tong*, Song Liu, Chen Gao, Shurui Chen. (2020). A spatial error-based cellular automata approach to reproducing and projecting dynamic urban expansion. Geocarto International, https://doi.org/10.1080/10106049.2020.1726508 (SCI)

  30. Chen Gao, Yongjiu Feng*, Xiaohua Tong*, Zhenkun Lei, Shurui Chen, Shuting Zhai. (2020). Modeling urban growth using spatially heterogeneous cellular automata models: Comparison of spatial lag, spatial error and GWR. Computers, Environment and Urban Systems, 81, 101459 (SSCI)

  31. Yongjiu Feng*, Rong Wang, Xiaohua Tong*, Hossein Shafizadeh-Moghadam. (2019). How much can temporally stationary factors explain cellular automata-based simulations of past and future urban growth? Computers, Environment and Urban Systems, 76, 150-162. (SSCI)

  32. Xiaohua Tong*, Yongjiu Feng. (2019). How current and future urban patterns respond to urban planning? An integrated cellular automata modeling approach. Cities, 92, 247-260. (SSCI)

  33. Yongjiu Feng, Heping Li, Xiaohua Tong*, Lijuan Chen, Yang Liu. (2018). Projection of land surface temperature considering the effects of future land change in the Taihu Lake Basin of China. Global and Planetary Change, 167, 24-34. (SCI)

  34. Yongjiu Feng, Yan Liu, Xiaohua Tong*. (2018). Comparison of metaheuristic cellular automata models: A case study of dynamic land use simulation in the Yangtze River Delta. Computers, Environment and Urban Systems, 70, 138-150. (SSCI)

  35. Yongjiu Feng*, Yang Liu, Xiaohua Tong*. (2018). Spatiotemporal variation of landscape patterns and their spatial determinants in Shanghai, China. Ecological Indicators, 87, 22–32. (SCI)

  36. Yongjiu Feng*, Yang, Q., Hong, Z., Cui, L. (2018). Modelling coastal land use change by incorporating spatial autocorrelation into cellular automata model. Geocarto International, 33(5): 470-488. (SCI9)

  37. Yongjiu Feng, Liu Yan, Liu Yu. (2017). Spatially explicit assessment of land ecological security with spatial variables and logistic regression modeling in Shanghai, China. Stochastic Environmental Research and Risk Assessment, 31(9), 2235–2249. (SCI)

  38. Yongjiu Feng, Liu Y., Batty M. (2016). Modeling urban growth with GIS based cellular automata and least squares SVM rules: a case study in Qingpu–Songjiang area of Shanghai, China. Stochastic Environmental Research and Risk Assessment, 30(5), 1387-1400. (SCI9)

  39. Yongjiu Feng, Liu Y. (2015). Fractal dimension as an indicator for quantifying the effects of changing spatial scales on landscape metrics. Ecological Indicators, 53, 18-27. (SCI)

  40. Yongjiu Feng, Liu Y., Tong X., Liu M., Deng S. (2011). Modeling dynamic urban growth using cellular automata and particle swarm optimization rules. Landscape and Urban Planning, 102(3): 188–196. (SCI)


期刊编辑：
—————————————————————————————————————
本人在国际SCI期刊Sustainability (ISSN 2071-1050，IF=3.889)组织专辑
Urban Expansion and Its Effect on Soil Sustainability
欢迎点击了解详情，欢迎投稿。截止日期2022年8月31日。