Personal Profile

阎继宁，男，博士，副教授，IEEE Senior Member，高校GIS新锐（2024），国际数字地球学会中国国家委员会委员、空间地球大数据专委会副主任委员，中国图象图形学学会遥感图像专业委员会委员，中国遥感应用协会定量遥感专业委员会青年委员，中国太平洋学会海洋大数据与高性能计算分会理事。主要研究方向包括大规模时序遥感数据管理及智能分析、遥感云计算。近年来主持国家重点研发计划子课题、国家自然科学基金青年项目及面上项目、CCF-蚂蚁科研基金等项目十余项。在RSE、ISPRS P&RS、TGRS、JAG等期刊一作/通讯发表SCI检索论文30余篇，ESI高被引论文3篇，授权发明专利10余项，出版中英文专著3部，第一作者主编教材1部，获得省部级奖项3项，IEEE JSTARS 最佳论文奖1项，美国地质调查局遥感手册（第二版）“遥感云计算”章节主要编写人。担任SCI期刊Remote Sensing客座编辑及Reviewer Board Member，ESCI/EI期刊Big Earth Data、Urban Informatics、Journal of Autonomous Intelligence客座编辑，Resources, Environment and Sustainability (RES)、《地球科学》、《Journal of  Earth Science》青年编委。

代表性论文：

[1] Jining Yan, Jingwei Liu, Dong Liang, Yi Wang, Jun Li, Lizhe Wang. Semantic segmentation of land cover in urban areas by fusing multi-source satellite image time series. IEEE Transactions on Geoscience and Remote Sensing, 2023, doi: 10.1109/TGRS.2023.3329709.

[2] Jining Yan, Lizhe Wang, Haixu He, Dong Liang, Weijing Song, Wei Han. Large area land cover changes monitoring with time-series remote sensing images using transferable deep models. IEEE Transactions on Geoscience and Remote Sensing, 2022. DOI: 10.1109/TGRS.2022.3160617.

[3] H. He, J. Yan*, L. Wang, D. Liang, J. Peng and C. Li, "Bayesian Temporal Tensor Factorization-Based Interpolation for Time Series Remote Sensing Data with Large-Area Missing Observations," in IEEE Transactions on Geoscience and Remote Sensing, doi: 10.1109/TGRS.2022.3140436.

[4] Jining Yan, Lizhe Wang, et al. "A time-series classification approach based on change detection for rapid land cover mapping." ISPRS Journal of Photogrammetry and Remote Sensing 158 (2019): 249-262.

[5] Jining Yan, Lizhe Wang, Kim-Kwang Raymond Choo and Wei Jie. A cloud-based remote sensing data production system. Future Generation Computer Systems. 2017. http://dx.doi.org/10.1016/j.future.2017.02.044.

[6] Nan Wu, Jining Yan*, Dong Liang, Zhongchang Sun, Rajiv Ranjan, Jun Li. High-resolution mapping of GDP using multi-scale feature fusion by integrating remote sensing and POI data, International Journal of Applied Earth Observation and Geoinformation, 2024, 129, 103812.

[7]  Haixu He, Jining Yan*, Dong Liang, Zhongchang Sun, Jun Li, and Lizhe Wang. Time-series land cover change detection using deep learning-based temporal semantic segmentation. Remote Sensing of Environment 305 (2024): 114101.

[8] Yi Li, Jining Yan*, Liheng Zhong, De Bao, Leigang Sun, Guangyu Li. Full-Coverage Mapping of Daily High-Resolution XCO2 across China from 2015 to 2020 by Deep Learning-Based Spatio-Temporal Fusion, IEEE Transactions on Geoscience and Remote Sensing, 2025. 10.1109/TGRS.2025.3540289.

[9] Jining Yan, Sheng Wang, Jiaxin Feng, Haixu He, Ziyong Sun, Lizhe Wang. New 30-m resolution dataset reveals declining soil erosion with regional increases across Chinese mainland (1990-2022). Remote Sensing of Environment. Volume 323, 1 June 2025, 114681.

[10] Zaiyan Zhang, Jining Yan*, Yuanqi Liang, Jiaxin Feng, Haixu He, Li Cao. Multi-scale Restoration of Missing Data in Optical Time-series Images with Masked Spatial-Temporal Attention Network, IEEE Transactions on Geoscience and Remote Sensing, 2025. DOI: 10.1109/TGRS.2025.3574799.

代表性专著 & 教材：

[1] Lizhe Wang, Jining Yan, Yan Ma. Cloud Computing in Remote Sensing. 2019.7.10, CRC Press. ISBN: 978-1-138-59456-2.

[2] 阎继宁，陈云亮，王媛妮，宋维静。Python语言应用案例实践教程，科学出版社，2020，ISBN：978-7-03-065284-3.

[3] Lizhe Wang, Jining Yan, Yan Ma, Xiaohui Huang, Jiabao Li, Sheng Wang, Haixu He, Ao Long, Xiaohan Zhang. Cloud Computing in Remote Sensing: A Comprehensive Assessment of State of the Arts. Remote Sensing Handbook, Volume I, 2nd Edition, CRC Press, 2024. eBook ISBN: 9781003541141.

[4] Lizhe Wang, Jining Yan, Yan Ma, Xiaohui Huang, Jiabao Li, Sheng Wang, Haixu He, Ao Long, Xiaohan Zhang. Cloud Computing in Remote Sensing: A Comprehensive Assessment of State of the Arts. Remote Sensing Handbook(遥感手册), Volume I, 2nd Edition, CRC Press, 2024. 399-438. eBook ISBN: 9781003541141.

发布的基准数据集及开源代码：

[1] 土地覆盖时序变化遥感监测基准数据集CUG-FFireMCD1，依据全球火灾扰动事件制作的MODIS时序数据集，可以为遥感时间序列变化检测的模型优化和精度验证提供基准。访问链接https://github.com/CUG-BEODL/CUG-FFireMCD

[2] 时序遥感数据语义分割基准数据集，由采自新疆伊犁地区的Sentinel-2高质量光学无云时序遥感影像制作，可以为时序语义分割模型优化和精度验证提供基准。访问链接https://github.com/CUG-BEODL/MTAF-TST.git

[3]时序遥感语义变化检测基准数据集及开源代码。访问链接https://github.com/CUG-BEODL/TSSCD

[4] 1990-2022年中国30m年水土流失空间分布数据集. 访问链接 https://doi.org/10.57760/sciencedb.12876

[5]  2015-202年中国逐日0.1度XCO2数据集，访问链接：https://www.scidb.cn/en/detail?dataSetId=77d94c9a080c4011b639acd2452b9f62

国际会议：

[1] 2023-9，第三届可持续发展大数据国际论坛（FBAS2023）, 北京，分会场共同主席

[2] 2023-8，全球智慧城市峰会暨第三届国际城市信息学大会（GSCS & ICUI 2023）, 香港，分会场共同主席

[3] 2023-7， 第13届国际数字地球会议（ISDE2023），雅典，分会场共同主席

[4] 2022-11，第五届地学大数据国际研讨会（BED2022），武汉，分会场召集人

[5] 2020-1， 第四届管理工程、软件工程与服务科学国际会议（ICMSS 2020），武汉，本地主席

代表性工程研发成果：

遥感云，基于课题组多年的研究积累及863课题项目经验，开发的基于云计算环境的遥感大数据一体化高性能服务平台，包含多数据中心框架下的自动数据集成、高性能组织与存储、快速检索与访问，高性能数据处理，分布式计算框架下的智能分析与深度挖掘、大区域尺度遥感制图等功能。