• 学历背景

  1.  硕博（2010 - 2016），中山大学地理科学与规划学院，地图学与地理信息系统
  2.  本科（2006 - 2010），中山大学地理科学与规划学院，地图学与地理信息系统

 

  • 工作经历

  1. 2020.01 - 至今，中山大学地理科学与规划学院，副教授，硕士生导师
  2. 2018.01 - 2019.12，中山大学地理科学与规划学院，博士后
  3. 2017.01 - 2017.12，中山大学地理科学与规划学院，特聘副研究员

 

  • 论文专著

  1. Jinpei Ou, Jiteng Xie, Xiaoping Liu. Large disparities in spatiotemporal distributions of building carbon emissions across China. Building and Environment, 2025, 274: 112778.
  2. Yingjian Huang, Jinpei Ou*, Zhu Deng, Wenwen Zhou, Yuchen Liang, Xiaolei Huang. Peak patterns and drivers of city-level daily CO2 emissions in China. Journal of Cleaner Production, 2024, 469: 143206.
  3. Xiaolei Huang, Jinpei Ou*, Yingjian Huang, Shun Gao. Exploring the Effects of Socioeconomic Factors and Urban Forms on CO2 Emissions in Shrinking and Growing Cities. Sustainability, 2024, 16(1), 85.
  4. Zhengyu Liu, Qian Shi, Jinpei Ou*, LCS: A Collaborative Optimization Framework of Vector Extraction and Semantic Segmentation for Building Extraction, IEEE Transactions on Geoscience and Remote Sensing, 2022, 60: 1-15, doi: 10.1109/TGRS.2022.3215852.
  5. Xinxin Wu, Jinpei Ou*, Youyue Wen, Xiaoping Liu, Jialv He, Jinbao Zhang. Developing a data-fusing method for mapping fine-scale urban three-dimensional building structure. Sustainable Cities and Society, 2022, 80 (2022), 103716.
  6. Xiaocong Xu, Jinpei Ou*, Penghua Liu, Xiaoping Liu, Honghui Zhang. Investigating the impacts of three-dimensional spatial structures on CO2 emissions at the urban scale. Science of the Total Environment, 2021, 762 (2021): 143096.
  7. Jinpei Ou, Xiaoping Liu, Penghua Liu, Xiaojuan Liu. Evaluation of Luojia 1-01 nighttime light imagery for impervious surface detection: A comparison with NPP-VIIRS nighttime light data. International Journal of Applied Earth Observation and Geoinformation, 2019, 81: 1-12.
  8. Jinpei Ou, Xiaoping Liu, Shaojian Wang, Rui Xie, Xia Li. Investigating the differentiated impacts of socioeconomic factors and urban forms on CO2 emissions: Empirical evidence from Chinese cities of different developmental levels. Journal of Cleaner Production, 2019, 226: 601-614.
  9. Xiaoping Liu, Jinpei Ou*, Yimin Chen, Shaojian Wang, Xia Li, Limin Jiao, Yaolin Liu. Scenario simulation of urban energy-related CO2 emissions by coupling the socioeconomic factors and spatial structures. Applied Energy, 2019, 238: 1163-1178.
  10. Xiaoping Liu, Jinpei Ou*, Shaojian Wang, Xia Li, Yuchao Yan, Limin Jiao, Yaolin Liu. Estimating spatiotemporal variations of city-level energy-related CO2 emissions: An improved disaggregating model based on vegetation adjusted nighttime light data. Journal of Cleaner Production, 2018, 177:101-114. 
  11. Jinpei Ou, Xiaoping Liu, Xia Li, Yimin Chen, Jun Li. Quantifying the spatiotemporal dynamics of urban growth modes in metropolitan cities of China: Beijing, Shanghai, Tianjin, and Guangzhou. Journal of Urban Planning and Development, 2016, 143(1): 04016023. 
  12. Jinpei Ou, Xiaoping Liu, Xia Li, Xun Shi. Mapping global fossil fuel combustion CO2 emissions at high-resolution by integrating nightlight, population density, and traffic network data. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2016, 9(4):1674-1684. 
  13. Jinpei Ou, Xiaoping Liu, Xia Li, Meifang Li, Wenkai Li. Evaluation of NPP-VIIRS Nighttime Light Data for Mapping Global Fossil Fuel Combustion CO2 Emissions: A Comparison with DMSP-OLS Nighttime Light Data. PLoS ONE, 2015, 10(9): e0138310. 
  14. Jinpei Ou, Xiaoping Liu, Xia Li, Yimin Chen. Quantifying the relationship between urban forms and carbon emissions using panel data analysis. Landscape ecology, 2013, 28(10): 1889-1907.
  15. Geng Liu, Yue Zheng, Xiaocong Xu, Xiaoping Liu, Honghui Zhang, Jinpei Ou. Fine-scale estimation of building operation carbon emissions: A case study of the Pearl River Delta Urban Agglomeration. Building Simulation, 2025, 18: 957–977.
  16. Geng Liu, Jinpei Ou, Yue Zheng, Yaotong Cai, Xiaoping Liu, Honghui Zhang. Large-scale building-level electricity consumption estimation for multiple building types: A case study from Dongguan, China. Sustainable Cities and Society, 2025(121): 106224.
  17. Yue Zheng, Xucai Zhang, Jinpei Ou, Xiaoping Liu. Identifying building function using multisource data: A case study of China's three major urban agglomerations. Sustainable Cities and Society, 2024(108): 105498.
  18. Haoming Zhuang, Guangzhao Chen, Yuchao Yan, Bingjie Li, Li Zeng, Jinpei Ou, Kangyao Liu, Xiaoping Liu. Simulation of urban land expansion in China at 30 m resolution through 2050 under shared socioeconomic pathways. GIScience & Remote Sensing, 2022. 59:1, 1301-1320.
  19. Xiaocong Xu, Dachuan Zhang, Xiaoping Liu, Jinpei Ou, Xinxin Wu. Simulating multiple urban land use changes by integrating transportation accessibility and a vector-based cellular automata: a case study on city of Toronto. Geo-spatial Information Science, 2022, 25:3, 439-456. DOI: 10.1080/10095020.2022.2043730.
  20. Yue Zheng, Jinpei Ou, Guangzhao Chen, Xinxin Wu, Xiaoping Liu. Mapping Building-Based Spatiotemporal Distributions of Carbon Dioxide Emission: A Case Study in England. Int. J. Environ. Res. Public Health, 2022, 19, 5986.
  21. Li Zeng, Xiaoping Liu, Wenhao Li, Jinpei Ou, Yiling Cai, Guangzhao Chen, Manchun Li, Guangdong Li, Honghui Zhang, Xiaocong Xu. Global simulation of fine resolution land use/cover change and estimation of aboveground biomass carbon under the shared socioeconomic pathways. Journal of Environmental Management, 2022, 312, 114943.
  22. Haoming Zhuang, Xiaoping Liu, Yuchao Yan, Jinpei Ou, Jialyu He, Changjiang Wu. Mapping Multi-Temporal Population Distribution in China from 1985 to 2010 Using Landsat Images via Deep Learning. Remote Sensing, 2021, 13(17), 3533.
  23. Yuchao Yan, Xiaocong Xu, Xiaoping Liu, Youyue Wen, Jinpei Ou. Assessing the contributions of climate change and human activities to cropland productivity by means of remote sensing. International Journal of Remote Sensing, 2019, 41(5): 2004-2021.
  24. Yuchao Yan, Xiaoping Liu, Youyue Wen, Jinpei Ou. Quantitative analysis of the contributions of climatic and human factors to grassland productivity in northern China. Ecological Indicators, 2019, 103: 542-553.
  25. Han Zhang, Xia Li, Xiaoping Liu, Yimin Chen, Jinpei Ou, Ning Niu, Yuhao Jin, Hong Shi. Will the Development of a High-Speed Railway Have Impacts on Land Use Patterns in China? Annals of the American Association of Geographers, 2019, 109(3): 979-1005.
  26. Yinghuai Huang, Xiaoping Liu, Xia Li, Yuchao Yan, Jinpei Ou. Comparing the Effects of Temporal Features Derived From Synthetic Time-Series NDVI on Fine Land Cover Classification. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2018, 11(12):1-12.
  27. Yuchao Yan, Xiaoping Liu, Jinpei Ou, Xia Li, Youyue Wen. Assimilating multi-source remotely sensed data into a light use efficiency model for net primary productivity estimation. International Journal of Applied Earth Observation and Geoinformation, 2018, 72: 11-25.
  28. Xiaoping Liu, Ning Niu, Xingjian Liu, He Jin, Jinpei Ou, Limin Jiao, Yaolin Liu. Characterizing mixed-use buildings based on multi-source big data. International Journal of Geographical Information Science, 2018, 32(4): 738-756.
  29. Xiaoping Liu, Xun Liang, Xia Li, Xiaocong Xu, Jinpei Ou, et al. A future land use simulation model (FLUS) for simulating multiple land use scenarios by coupling human and natural effects. Landscape and Urban Planning, 2017, 168: 94-116.
  30. Yuchao Yan, Xiaoping Liu, Feiyue Wang, Xia Li, Jinpei Ou, Youyue Wen, Xun Liang. Assessing the impacts of urban sprawl on net primary productivity using fusion of Landsat and MODIS data. Science of the Total Environment, 2017, 613–614 (2018):1417–1429.
  31. Shaojian Wang, Xiaoping Liu, Chunshan Zhou, Jincan Hu, Jinpei Ou. Examining the impacts of socioeconomic factors, urban form, and transportation networks on CO2, emissions in China’s megacities. Applied Energy, 2016, 185:189-200.
  32. Xiaoping Liu, Jinpei Ou, Xia Li, Bin Ai. Combining system dynamics and hybrid particle swarm optimization for land use allocation. Ecological Modelling, 2013, 257: 11-24. 
  33. 欧金沛，余思洁，廖威林. 以学科竞赛为导向的地图设计课程教学模式改革与实践[J]. 测绘与空间地理信息. 2025 ,48 (08): 8-11.
  34. 高顺, 欧金沛*, 黄晓蕾, 黄英剑, 谢纪腾. 基于OCO-2卫星的中国人为碳排放时空变化与社会经济影响分析[J]. 中国环境科学, 2024, 44(12):7024-7035.
  35. 刘小平，车扬子，欧金沛*. 科教融合下城市地理信息系统课程教学实践与创新研究[J]. 测绘通报，2023（S1）：125-130.
  36. 刘晓娟，黎夏，梁迅，石洪，欧金沛. 基于FLUS-InVEST模型的中国未来土地利用变化及其对碳储量影响的模拟[J]. 热带地理, 2019, 39(3):399-409.
  37. 李柳华, 刘小平, 欧金沛, 牛宁. 基于随机森林模型的城市扩张三维特征时空变化及机制分析[J]. 地理与地理信息科学, 2019, 35(2): 53-60.
  38. 田贺，梁迅，黎夏，刘小平，欧金沛，洪晔，何执兼．基于SD 模型的中国2050 年土地利用变化情景模拟[J]．热带地理，2017, 37(4):547-561.
  39. 马世发, 艾彬, 欧金沛. 约束性CA在城乡建设用地指标空间化中的应用[J].地理科学,2013,33(10):1245-1251.

 

  • 教材著作

  1. 刘小平，欧金沛，黎夏，陈广照，梁迅，张鸿辉. 未来土地利用模拟模型及资源环境应用[M]. 北京: 科学出版社, 2024.
  2. 刘小平，欧金沛，张鸿辉, 许晓聪，陈逸敏. 城市地理信息科学[M]. 广州：中大出版社，2024.

 

  • 科研项目

  1. 国家自然科学基金面上项目, 42571478, 耦合社会经济与空间结构的城市建筑碳排放不平等评估分析及情景模拟研究，2026/01-2029/12，主持；
  2. 广州市科技计划项目，202201011149，高时空分辨率的广州市建筑碳排放清单构建及减排研究，2022/04-2024/03，主持；
  3. 国家自然科学基金面上项目，42171410，基于三维空间结构的城市建筑碳排放时空分布、影响机理及情景预测研究，2022/01-2025/12，主持；
  4. 广东省自然科学基金面上项目，2021A1515011192，城市三维空间结构对碳排放的影响机理与模拟研究，2021/01-2023/12，主持；
  5. 国家自然科学基金青年科学基金项目，41801304，融合多源大数据的城市建筑能耗碳排放时空分布与情景模拟研究，2019/01-2021/12，主持；
  6. 中国博士后科学基金特别资助项目，2019T120765，多源时空大数据支持下的城市建筑碳排放评估及模拟研究，2019/07-2021/05，主持；
  7. 广东省自然科学基金博士启动项目，2018A030310313，耦合社会经济与空间结构的城市碳排放情景模拟预测研究，2018/05-2021/04，主持；
  8. 中国博士后科学基金资助项目，2018M633209，基于空间结构的城市碳排放情景模拟研究—以广州市为例，2018/01-2019/12，主持；
  9. 广州市科技计划项目，201806010187，基于长期能源替代规划系统理论的城市能源利用低碳的路径与潜力研究，2018/04-2021/03，参与；
  10. 国家自然科学基金面上项目，41671398，大数据支持下的精细土地利用与多模式交通网络协同优化，2017/01-2020/12，参与；
  11. 国家自然科学基金青年科学基金项目，41601151，碳排放约束下的城市空间模式优化研究——以珠三角城市群为例，2017/01-2019/12，参与；
  12. 国家自然科学基金青年科学基金项目，41601445，基于极化雷达和光学遥感的城市扩张短周期自动监测方法研究，2017/01-2019/12，参与；

 

  • 获奖情况

  1. 2020年，广东省科技进步奖二等奖（排名第3）；
  2. 2020年，中国测绘科学技术奖二等奖（排名第3）；
  3. 2020年，中国地理信息科技进步奖一等奖（排名第8）；
  4. 2022年，金粤自然资源科学技术奖一等奖（排名第8）
  5. 2023年，自然资源科学技术奖科技进步奖二等奖（排名第8）

 

  • 专利软著

  1. 基于混合粒子群算法的土地利用空间优化软件, 2023SR0649269.
  2. 二氧化碳卫星数据管理与处理软件，2023SR1575528.