张修远，北京大学城市与环境学院副研究员，在PNAS、RSE等顶级期刊发表学术论文80余篇，主持国家自然科学基金（青B）等项目，荣获国际学会新星奖、优博奖、高校GIS新锐奖，入选北京市和中国科协青年人才托举工程。

国家自然科学基金，青年B类，城市国土空间级联建模，在研，主持

国家自然科学基金，面上基金，面向城市“智理”的社区人居环境时空监测与人本评估，在研，主持

国家自然科学基金，青年C类，面向城市国土空间规划的多尺度结构分区与跨系统功能转换，结题，主持

中国博士后科学基金，特别资助，多尺度视角下城市用地格局对人居环境影响规律研究，结题，主持

中国博士后科学基金，面上资助（一等），城市居民生活便利度与公共开放用地关系及空间分异研究，结题，主持

“十四五”国家重点研发计划子课题，场景驱动的全国城市存量空间用地动态智能识别，在研，主持

“十四五”国家重点研发计划子课题，城市灰绿空间垂直分布特征与耦合关系及其主控因子识别技术，在研，主持

“十三五”国家重点研发计划，时空大数据驱动的可持续发展城市人居环境监测评估与示范，结题，参与

国家自然科学基金，重点项目，城市景观的多维度建模与分析，在研，参与

l  Zhang, X., Dong, X., Zhou, Q., Du, S. (2025). Spatiotemporal Big Data Empower Community Modeling, Monitoring, Evaluation, and Optimization for Sustainable Community Development: A Review of Challenges and Opportunities. IEEE Geoscience and Remote Sensing Magazine, 13, 8-31. 

l  Zhang, X., Du, S., Taubenböck, H. Wang, Y., Du, S., Liu, B., Feng, Y. (2022). Underload city conceptual approach extending ghost city studies. npj Urban Sustainability, 2, 15.

l  Zhang, X., & Du, S. (2015). A Linear Dirichlet Mixture Model for decomposing scenes: Application to analyzing urban functional zonings, Remote Sensing of Environment, 169, 37-49. 

l  Zhang, X., & Du, S. (2016). Learning selfhood scales for urban land cover mapping with very-high-resolution satellite images. Remote Sensing of Environment, 178, 172-190. 

l  Zhang, X., Du, S., & Wang, Q. (2018). Integrating bottom-up classification and top-down feedback for improving urban land-cover and functional-zone mapping. Remote Sensing of Environment, 212, 231-248. 

l  Zhang, X., Du, S., Du, S., & Liu, B. (2020). How do land-use patterns influence residential environment quality? A multiscale geographic survey in Beijing. Remote Sensing of Environment. 249, 112014. 

l  Wang, H., Zhang, X.*, Du, S., Bai, L., & Liu, B. (2022), Mapping Annual Urban Evolution Process (2001–2018) at 250m: A normalized multi-objective deep learning regression, Remote Sensing of Environment, 278, 113088. 

l  Xiong, S., Zhang, X.*, Lei, Y., Tan, G., Du, S., Wang, H. (2024) Time-series China Urban Land Use Mapping (2016-2022): An approach for achieving spatial-consistency and semantic-transition rationality in temporal domain, Remote Sensing of Environment, 312, 114344. 

l  Zheng, Z., Yu, J., Zhang, X.*, Du, S. (2024). Development of a 30 m resolution global sand dune/sheet classification map (GSDS30) using multi-source remote sensing data, Remote Sensing of Environment, 302, 113973. 

l  Zhang, X., Du, S., & Wang, Q. (2017). Hierarchical semantic cognition for urban functional zones with VHR satellite images and POI data. ISPRS Journal of Photogrammetry and Remote Sensing, 132, 170-184.  ESI高被引

l  Zhang, X., Du, S., & Zhang, J. (2018). How do people understand convenience-of-living: a multiscale geographic investigation in Beijing. ISPRS Journal of Photogrammetry and Remote Sensing. 148, 87-102. 

l  Zhang, X., Du, S., & Zheng, Z. (2020). Heuristic sample learning for complex urban scenes: application to urban functional-zone mapping with VHR images and POI data. ISPRS Journal of Photogrammetry and Remote Sensing, 161, 1-12. 

l  Zheng, Z., Zhang, X.*, Li, J., Ali, E., Yu, J., Du, S. (2024). Global perspectives on sand dune patterns: Scale-adaptable classification using Landsat imagery and deep learning strategies. ISPRS Journal of Photogrammetry and Remote Sensing, 218. 781-801. 

l  Bai, L., Huang, W., Zhang, X.*, Du, S., Cong, G., Wang, H., Liu, B. (2023). Geographic mapping with unsupervised multi-modal representation learning from VHR images and POIs. ISPRS Journal of Photogrammetry and Remote Sensing, 201, 193-208. 

l  Dong, X., Zhang, X.*, Zhou, Q. (2023). Underload and overload communities: revealing the conflicts between population distribution and carrying capacity at an inner-city community scale. Sustainable Cities and Society. 98, 104793. 

l  Dong, X., Zhang, X.*, Jing, Y., Zhou, Q., Bai, L., & Du, S. (2024). Does every public open space (POS) contribute to sustainable city development? An assessment of inefficient POS in Beijing. Sustainable Cities and Society, 117, 105980. 

l  Wang, H., Zhang, X.*, Du, S., Zhou, Y., Wu, D., Wang, Q., Bai, L., Liu, B., Xiong, S. (2025). Gap Dynamics in the U.S. between Urban Areas in the Current Trend and in Sustainable Scenario. Geography and Sustainability, 6, 100217. 

l  Wang, H., Wang, Q., Zhang, X.*, Du, S., Bai, L., Xiong, S. (2025). Mapping global annual urban land cover fractions (2001–2020) derived with multi-objective deep learning, International Journal of Applied Earth Observation and Geoinformation, 136, 104404. 

l  Zhang, X., Xiong, S., Dong, X., & Du, S. (2023). Synergistic classification of multilevel land patches (SC-MLP): reducing conflicts and improving mapping results for land uses and functional spaces with very-high-resolution satellite imagery. IEEE Transactions on Geoscience and Remote Sensing, 61, 1-17.

l  Xiong, S., Zhang, X.*, Wang, H., Lei, Y., Tan, G., Du, S. (2025). Retrieving historical images at 10m resolution from 1985 to 2015 through STARS-Net: A spatio-temporal attention referenced super-resolution network. IEEE Transactions on Geoscience and Remote Sensing, 63, 5401119

l  Zhang, X., Du, S., Zhou, Y., & Xu, Y. (2022). Extracting physical urban areas of 81 major Chinese cities from high-resolution land uses, Cities, 131, 104061. 

l  Zhang, X., Xiong, S., Tan, G., Dong, X., Du, S. (2023). Trade-offs Among Productive-Living-Ecological Lands for Facilitating Low-Carbon and Efficient Cities: Evidences in 30 Major Chinese Cities From 2015 to 2020, GIScience & Remote Sensing, 60, 23882. 

l  Zhang, X., Du, S., & Wang, Y.-C. (2015). Semantic classification of heterogeneous urban scenes using intra-scene feature similarity and inter-scene semantic dependency. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 8(5): 2005-2014. 

l  Zhang, X., Du, S., & Zhang, Y. (2018). Semantic and Spatial Co-Occurrence Analysis on Object Pairs for Urban Scene Classification. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 11(8), 2630-2643. 

l  Ouyang, S., Du, S., Zhang, X.*, Du, S., Bai, L. (2024). MDFF: A method for fine-grained UFZ mapping with multimodal geographic data and deep network. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 16, 9951-9966. 

l  Wang, H., Bai, L., Xiong, S., Du, S., Zhang, X*. (2024). Unveiling urban area growth dynamics: Insights from a comprehensive study of urban area growth curves, International Journal of Digital Earth, 17, 101453. 

l  Zhang, X., Du, S., Wang, Q., & Zhou, W. (2018). Multiscale Geoscene Segmentation for Extracting Urban Functional Zones from VHR Satellite Images. Remote Sensing, 10(2), 281. 

l  Chen, J., Shi, R., Sun, G., Guo, Y., Deng, M., Zhang, X.* (2023). Simulation-based optimization of the urban thermal environment through local climate zones reorganization in Changsha city, China with the FLUS Model, Sustainability, 25017. 

l  Cheng, Y., Zhang, X.*, Zhou, Q., Dong, X., Du, S. (2025). A Patch-level and Neighborhood-dependency Spatial Optimization Method (PNO): Application to Urban Land use Planning for Facilitating Both Socio-economic and Environmental Development in Beijing. ISPRS International Journal of Geo-Information. 14, 33.

l  Wang, X., Zhang, X.*. (2025). Interpreting Natural Language Descriptions of the Topological Relations of Enclaves, Journal of Geographical Systems, 27, 301–335.

l  Qin, W., Zhang, X.*, Bai, L., Xu, Y., Zhang, L., Du, S, (2025). Frequent Commuting Associated Zone identification: a case study in Beijing, China based on floating vehicle data. Transactions in GIS.

l  Zhang, X., & Du, S. (2019). Learning self-adaptive scale for extracting urban functional zones from VHR images. In International Geoscience and remote sensing Symposium (IGARSS), 2019. IEEE. 

l  Zhang, X., & Du, S. (2022). Geoscene modeling and analysis for urban functional zones. In ISPRS-Archives Urban Geoinformatics 2022, (EI)

l  张修远, 刘修国. (2014). 基于随机森林算法的高维模糊分类研究. 国土资源遥感, 26(2), 87-92.

l  张修远.（2020）基于地理场景的城市功能区建模与分析方法研究.地理与地理信息科学.2020, 36. 144.