基本介绍
陈逸敏，中国民主促进会会员，教授，博士生导师。生于广东汕头市，祖籍广东潮安县。获得国家自然科学基金优秀青年基金项目、广东省自然科学基金杰出青年项目等科研项目资助。研究兴趣包括城市大数据计算、人工智能与城市过程建模、城市可持续发展情景模拟等。研究论文发表于Int J Geogr Inf Sci、Remote Sens Environ、Landscape Urban Plan、Ann Am Assoc Geogr、Nat Commun、地理学报等权威地理学刊物，其中多篇论文入选ESI高被引论文。连续三年（2021-2024年）入选科睿唯安高被引学者。获广东省科技进步奖二等奖。
欢迎城市GIS与遥感方向的研究生、博士后加入开展合作研究
学历背景
2008-2014 博士，中山大学地理科学与规划学院，地图学与地理信息系统专业
2004-2008 本科，中山大学地理科学与规划学院，地理信息系统专业
2001-2004 高中，汕头一中
工作经历
2024.4-至今 中山大学地理科学与规划学院，教授
2022.7-至今 中山大学地理科学与规划学院，遥感与地理信息工程系，系主任
2019.1-2024.4 中山大学地理科学与规划学院，副教授
2014.7-2019.1 中山大学地理科学与规划学院，讲师（“百人计划二期”）
社会任职
中国地理学会地图学与地理信息系统工作委员会委员
中国地理学会空间综合人文社会科学工作委员会 委员
中国地理信息产业协会城市空间信息工委会委员
ISDE中国国家委员会青年科学奖工作委员会委员
民进广东省第九届委员会资源环境专门委员会 委员
广东省地理学会理事会 理事
讲授课程
地理信息系统导论（大二）
空间分析与应用（双语；大三）
数据集下载
中国100米分辨率SSP人口模拟结果：https://doi.org/10.6084/m9.figshare.11634372
全球1公里分辨率SSP人口模拟结果：https://www.geosimulation.cn/FPOP.html
教材、专著（章节）
Chen, Y., & Li, X*. (2022). Modelling Teleconnections in Land Use Change. In New Thinking in GIScience (pp. 341-348). Springer, Singapore.
陈逸敏, 齐志新, 刘小平. (2023). 空间数据分析方法实战教程. 中山大学出版社.
刘小平，欧金沛，张鸿辉，许晓聪，陈逸敏. (2024). 城市地理信息科学. 中山大学出版社.
代表性论文
Zhou, Z., & Chen, Y*. (2025). How urban land expansion alters terrain in mountainous and hilly areas: An empirical study in China. Geography and Sustainability, 6, 100304.
Zhou, Z., & Chen, Y*. (2025). STUrban: A novel spatial-temporal deep learning model to simulate long-term urban growth. Information Geography, 1(1), 100004.
Luo, M., & Chen, Y*. (2024). Simulating inter-city population flows based on graph neural networks. Geocarto International, 39(1), 2331223.
Chen, Y.*, Chen, J., Zhao, S., Xu, X., Liu, X., Zhang, X., & Zhang, H. (2024). Inferring the heterogeneous effect of urban land use on building height with causal machine learning. GIScience & Remote Sensing, 61(1), 2321695.
Chen, Y., Zhao, S., & Pei, L*. (2024). Comparing the warming effects of different urban forms under projected climate change in China's Guangdong-Hong Kong-Macau Greater Bay Area. Urban Climate, 53, 101824.
Jiang, M., Chen, Y.*, Dong, Z., Liu, X., Zhang, X., & Zhang, H. (2024). Multi-Scale Fusion CNN-Transformer Network for high-resolution remote sensing image change detection. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 17, 5280-5293.
Zhou, Z., Chen, Y.*, Wang, Z., & Lu, F*. (2024). Integrating cellular automata with long short-term memory neural network to simulate urban expansion using time-series data. International Journal of Applied Earth Observation and Geoinformation, 127, 103676.
Zhao, S., Chen, Y.*, Zhang, H., & Luo, M. (2024). Impacts of local climate zone mapping Quality on urban near-surface air temperature simulation in WRF-UCM. Sustainable Cities and Society, 101, 105171.
Zhou, Z., Chen, Y.*, Liu, X., Zhang, X., & Zhang, H. (2024) A Maps-to-Maps approach for simulating urban land expansion based on convolutional long short-term memory neural networks. International Journal of Geographical Information Science, 38(3): 503-526. (代码下载: https://github.com/kwtk86/UrbanM2M)
Chen, Y.*, & Feng, M. (2022). Urban form simulation in 3D based on cellular automata and building objects generation. Building and Environment, 226, 109727. (代码下载: https://doi.org/10.6084/m9.figshare.21164335)
Li, M., Zhou, B., Chen, Y.*, Hu, G., Gao, M., Hao, M., & 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.
Chen, Y., Liu, Z., & Zhou, B*. (2022). Population-environment dynamics across world’s top 100 urban agglomerations: With implications for transitioning toward global urban sustainability. Journal of Environmental Management, 319, 115630.
Cai, J., & Chen, Y*. (2022). A novel unsupervised deep learning method based on multiscale residual convolutional autoencoder for urban form delineation. Geo-spatial Information Science, 25(4): 568-587.
Chen, Y*. (2022). An extended patch-based cellular automaton to simulate horizontal and vertical urban growth under the shared socioeconomic pathways. Computers, Environment and Urban Systems, 91, 101727.
Chen, X., & Chen, Y*. (2021). Quantifying the relationships between network distance and straight-line distance: Applications in spatial bias correction. Annals of GIS, 27(4), 351-369.
Cai, J., & Chen, Y*. (2021). MHA-Net: Multipath Hybrid Attention Network for building footprint extraction from high-resolution remote sensing imagery. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 14, 5807-5817.
Liu, Z., Chen, X., Xu, W., Chen, Y.*, & Li, X. (2021). Detecting industry clusters from the bottom up based on co-location patterns mining. Environment and Planning B: Urban Analytics and City Science, 48(9), 2827–2841.
Chen, Y.*, Li, X., Huang, K., Luo, M., & Gao, M. (2020). High-resolution gridded population projections for China under the shared socioeconomic pathways. Earth's Future, 8(6), e2020EF001491.
Chen, G., Li, X.*, Liu, X.*, Chen, Y.*, Liang, X., Leng, J., Xu, X., Liao, W., Qiu, Y., Wu, Q., & Huang, K. (2020). Global projections of future urban land expansion under shared socioeconomic pathways. Nature Communications, 11, 537.
Chen, Y.*, Chen, X., Liu, Z., & Li, X. (2020). Understanding the spatial organization of urban functions based on co-location patterns mining: A comparative analysis for 25 Chinese cities. Cities, 97, 102563.
Chen, Y., Li, X.*, Liu, X., Zhang, Y., & Huang, M. (2019). Quantifying the teleconnections between local consumption and domestic land uses in China. Landscape and Urban Planning, 187, 60-69.
Chen, Y.*, Li, X., Liu, X., Zhang, Y., & Huang, M. (2019). Tele-connecting China's future urban growth to impacts on ecosystem services under the shared socioeconomic pathways. Science of the Total Environment, 652, 765-779.
Chen, Y., Li, X., Liu, X.*, Huang, H., & Ma, S. (2019). Simulating urban growth boundaries using a patch-based cellular automaton with economic and ecological Constraints. International Journal of Geographical Information Science, 33(1), 55-80.
Liu, X., Hu, G., Chen, Y.*, Li, 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, 209, 227-239.
Chen, Y., Liu, X.*, & Li, X*. (2017). Calibrating a land parcel cellular automaton (LP-CA) for urban growth simulation based on ensemble learning. International Journal of Geographical Information Science, 31(12), 2480-2504.
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, 160, 48-60.
Chen, Y., Li, X.*, Liu, X., Ai, B., & Li, S. (2016). Capturing the varying effects of driving forces over time for the simulation of urban growth by using survival analysis and cellular automata. Landscape and Urban Planning, 152, 59-71.
Chen, Y., Li, X.*, Liu, X., & Ai, B. (2014). Modeling urban land-use dynamics in a fast developing city using the modified logistic cellular automaton with a patch-based simulation strategy. International Journal of Geographical Information Science, 28(2), 234-255.
Chen, Y., Li, X.*, Wang, S., Liu, X., & Ai, B. (2013). Simulating urban form and energy consumption in the Pearl River Delta under different development strategies. Annals of the Association of American Geographers, 103(6),1567-1585.
陈逸敏, 黎夏*. 机器学习在城市空间演化模拟中的应用与新趋势. (2020). 武汉大学学报(信息科学版), 45(12), 1884-1889.
陈逸敏, 黎夏*，刘小平, 李少英. (2010). 基于耦合地理模拟优化系统GeoSOS的农田保护区预警. 地理学报, 65(9), 1137-1145.
主要科研项目
国家自然科学基金优秀青年基金项目“精细化城市模拟模型”
国家自然科学基金面上项目“城市土地利用变化及其热环境影响的深度学习情景模拟”
广东省自然科学基金杰出青年项目“粤港澳湾区城市群建成环境演化情景与气候变化风险推演”
国家重点研发计划项目“城镇化对区域及全球尺度气候变化的影响研究”，课题一任务“全球城镇建筑、街道参数与建设用地时序变化检测”（已结题）
国家重点研发计划项目“‘人-地’耦合的高精度全球土地利用演变模拟及应用”，课题一任务“全球城市土地利用要素年度和变化制图”（已结题）
国家自然科学基金面上项目“‘遥关联’下中国未来土地利用变化及其生态影响的区域转移情景模拟”（已结题）
国家自然科学基金青年科学基金项目“基于地块对象的城市空间结构演化精细模拟”（已结题）
奖项
2025 第五届全国高等学校GIS教学成果奖特等奖（排名第一）
2023 第四届全国高等学校GIS教学成果奖一等奖（排名第五）
2021-2024 Clarivate高被引学者
2021 第九届高校GIS新锐奖
2021 第三届全国高等学校GIS教学成果奖一等奖（排名第六）
2021 第六届全国高校GIS青年教师讲课竞赛一等奖
2019 年度广东科技进步奖二等奖(排名第二)
2011 年获第 19 届国际地理信息科学与技术大会论文竞赛一等奖
