团队主要方向：

[1] 时空大数据组织与计算

大规模分布式空间数据组织与云服务、高性能地理计算、时空大数据智能服务等，支撑新一代人工智能 GIS 软件 - 国产时空大数据智能服务平台研制。团队骨干成员包括美国哈佛大学地理分析中心留学归国青年老师、日本名古屋大学海归博士等。

[2] 地理人工智能与自动驾驶

地理人工智能深度学习方法、车辆出行大数据与遥感大数据 AI 分析、大规模遥感深度学习样本库管理系统与服务、众包感知高精地图等，助力无人机航拍 AI 违建监测、耕地动态监测监管、出行大数据 POI 推荐、出行订单需求预测、自动驾驶等。团队骨干成员包括全国博士后创新人才支持计划入选者、瑞典皇家理工学院海归博士等。

[3] 智慧城市、自然资源与灾害应急监测等

通过多个校企平台，包括湖北省空间信息智能处理工程技术研究中心、武汉大学 - 长安汽车空间信息技术联合实验室、武汉大学 - 东风集团大数据 AI 联合实验室等，开展产学研应用研究。相关成果已在智慧城市、国土三调、电网信息化、不动产登记、时空信息云平台、应急管理、防灾减灾等领域推广应用。团队骨干成员包括美国 UCSB 空间认知中心留学归国青年老师、湖北省楚天学子等。

[4] 国际技术合作与研发

基于多源对地观测时空立方体开展的 OGC Testbed 创新计划项目系列、面向应急空间信息服务的 OGC Pilot 减灾先导研发计划系列、 OGC 首个地理人工智能标准研制等。团队骨干成员包括美国 GMU 留学归国青年老师等。

团队已形成专利、软著受理或授权五十余项，项目来自国家自然科学基金、国家重点研发计划、国际 OGC 、湖北省重点研发计划、国家及省市人才计划、产学研合作资助等。

主要荣誉与奖励：

[1] 2023 OGC Community Impact Award

[2] 2022 年中国测绘科技进步特等奖（排名 1 ）

[3] 2021 全国鲲鹏应用创新大赛广东赛区政府赛道冠军

[4] 2020 年华为云“东风出行杯”大数据开发者大赛冠军

[5] 2017 国际开放建模协会 OpenMI Award

[6] 2016 年湖北省自然科学一等奖 ( 排名 1)

[7] 国家优秀青年科学基金

[8] 教育部长江青年学者

[9] 国家万人计划“青年拔尖人才”

[10] 2014 年教育部自然科学一等奖（排名 2 ）

[11] 教育部“新世纪优秀人才”

[12] 湖北省杰出青年基金

[13] 武汉市“黄鹤英才”

[14] 武汉大学计算机学科 ESI 贡献一等奖

[15] 武汉大学“珞珈特聘教授”

[16] 2013 年欧洲空间信息基础设施欧盟挑战赛“水晶牛奖”（ First Place Award ）

[17] 2013 年湖北省自然科学一等奖 ( 排名 4)

[18] 2006 IEEE 国际服务计算大赛 3 ^rd place award

[19] 2006 年全球语义网挑战竞赛 Honorable Mention Award

[20] 2004 International Carbon Cup Open Geospatial Design Competition 冠军

主要学术兼职：

[1] ISO/TC211 WG 4 Convenor 国际标准化组织地理信息技术委员会第四工作组（地理信息服务工作组）召集人

[2] OGC 地理人工智能样本语言标准工作组 主席（ 2021 至今）

[3] 武汉大学学报 信息科学版副主编（ GIS 方向）（ 2021 至今）

[4] 中国测绘学会第二届无人机创新工作委员会 副主任委员

[5] 国际开放地理信息协会 OGC 中国联盟 创会主席（ 2017 至今）

[6] IEEE 地球科学与遥感协会 GRSS 地球信息科学（ ESI ）技术委员会主席（ 2015-2017 ）

[7] OGC 环境数据获取 API 标准工作组 联合主席（ 2020 至今）

[8] ISO/TC 211 国际标准化组织代表（ 2019 至今）

[9] ISDE 国际数字地球学会中国国家委员会委员（ 2017 至今）

[10] ISPRS 国际摄影测量与遥感协会第六委员会 秘书（ 2012-2016 ）

[11] ISPRS 国际摄影测量与遥感协会虚拟地球工作组 秘书（ 2008-2012 ）

[12] 第六、七届国务院学位委员会测绘科学与技术学科评议组 秘书 （ 2009-2020 ）

[13] 中国 GIS 理论与方法委员会委员（ 2017 至今）

[14] 中国大百科全书测绘学地理信息工程编委 (2015 至今 )

[15] 中国测绘学名词审定工作委员会委员 (2014 至今 )

[16] 《遥感学报》编委 (2020 至今 )

[17] 《地理与地理信息科学》编委 (2016 至今 )

[18] 国际开放地理信息协会（ OGC ）“新空间”中国研讨会 会议主席（ 2021 ）

[19] 2018 IEEE 国际地理空间大数据与数据科学会议 大会主席

[20] 2016 、 2017 年国际农业地理信息科学与工程大会科学委员会 联合主席

[21] 2016 年国际摄影测量与遥感协会大会（ ISPRS Congress ） 程序委员会委员

[22] 2015 、 2016 、 2017 、 2018 、 2019 年 IEEE 国际地球科学与遥感大会 科学委员会委员或分会主席

主要论著：

[1] Yuan, M., Yue, P. , Yang, C., Li, J, Yan, K., Cai, C., & Wan, C., 2023. Generating lane-level road networks from high-precision trajectory data with lane-changing behavior analysis, International Journal of Geographical Information Science , DOI: 10.1080/13658816.2023.2279977

[2] Cao, Z., Jiang, L., Yue, P. , Gong, J., Hu, X., Liu, S., Tan, H., Liu, C., Shangguan, B., & Yu, D., 2023. A large scale training sample database system for intelligent interpretation of remote sensing imagery, Geo-spatial Information Science , DOI: 10.1080/10095020.2023.2244005

[3] Zhang, M., Yue, P. , Hu, L., Wu, H., Zhang, F., 2023. An interoperable and service-oriented approach for real-time environmental simulation by coupling OGC WPS and SensorThings API, Environmental Modelling & Software , 165(7), 105722.

[4] Fang, Z., Yue, P. , Zhang, M., Xie, J., Wu, D., Jiang, L., 2023. A service-oriented collaborative approach to disaster decision support by integrating geospatial resources and task chain, International Journal of Applied Earth Observations and Geoinformation , 117, 103217.

[5] Xu, M., Yue, P. , Yu, F., Yang, C., Zhang, M., Li, S., and Li, H., 2023. Multi-agent reinforcement learning to unify order-matching and vehicle-repositioning in ride-hailing services, International Journal of Geographical Information Science , 37(2), pp. 380-402

[6] Wang, M., Yu, D., He, W., Yue, P. , Liang, Z., 2023. Domain-incremental learning for fire detection in space-air-ground integrated observation network, International Journal of Applied Earth Observations and Geoinformation , 118(4), 103279.

[7] Yu, D., Yue, P. , Ye, F., Tapete, D., Liang, Z., 2023. Bidirectionally greedy framework for unsupervised 3D building extraction from airborne-based 3D meshes, Automation in Construction , 152(8), 104917.

[8] Li, H., Yue, P. , Li, S., Zhang, C., Yang, C., 2023. Spatio-temporal intention learning for recommendation of next point-of-interest, Geo-spatial Information Science , DOI: 10.1080/10095020.2023.2179428

[9] Gao, F., Yue, P. , Cao, Z., Zhao, S., Shangguan, B., Jiang, L., Hu, L., Fang, Z., Liang, Z., 2022. A multi-source spatio-temporal data cube for large-scale geospatial analysis, International Journal of Geographical Information Science , DOI: 10.1080/13658816.2022.2087222

[10] Yue, P. , Shangguan, B., Hu, L., Jiang, L., Zhang, C., Cao, Z., Pan, Y., 2022. Towards a training data model for artificial intelligence in earth observation. International Journal of Geographical Information Science , DOI: 10.1080/13658816.2022.2087223

[11] Zhang, C., Feng, Y., Hu, L., Tapete, D., Pan, L., Liang, Z., Cigna, F., Yue, P. , 2022. A domain adaptation neural network for change detection with heterogeneous optical and SAR remote sensing images. International Journal of Applied Earth Observation and Geoinformation , 109(5), 102769

[12] Zhang, M., Jiang, L., Yue, P. , and Gong, J., 2020. Interoperable web sharing of environmental models using OGC web processing service and Open Modeling Interface (OpenMI). Environmental Modelling & Software , 133: 104838.

[13] Yue, P. , Gao, F., Shangguan, B., and Yan, Z., 2020. A machine learning approach for predicting computational intensity and domain decomposition in parallel geoprocessing. International Journal of Geographical Information Science , 34(11), 2243-2274.

[14] Zhang, M., Jiang, L., Zhao, J., Yue, P. , and Zhang, X., 2020. Coupling OGC WPS and W3C PROV for provenance-aware geoprocessing workflows. Computers and Geosciences , 138: 104419.

[15] Zhang, C., Yue, P. , Tapete, D., Jiang, L., Shangguan, B., Huang, L., and Liu, G., 2020. A deeply supervised image fusion network for change detection in high resolution bi-temporal remote sensing images. ISPRS Journal of Photogrammetry and Remote Sensing , 166, 183-200.

[16] Zhang, C., Yue, P. , Tapete, D., Shangguan, B., Wang, M., and Wu, Z., 2020. A multi-level context-guided classification method with object-based convolutional neural network for land cover classification using very high resolution remote sensing images. International Journal of Applied Earth Observation and Geoinformation , 88, 102086. DOI: https://doi.org/10.1016/j.jag.2020.102086

[17] Zhang, X., Zhang, M., Jiang, L., and Yue, P. , 2020. An interactive 4D spatio-temporal visualization system for hydrometeorological data in natural disasters. I nternational Journal of Digital Earth , 13(11), pp. 1258-1278.

[18] Zhang, X., Yue, P. , Chen, Y., and Hu, L., 2019. An efficient dynamic volume rendering for large-scale meteorological data in a virtual globe. Computers and Geosciences , 126, pp. 1-8.

[19] Shangguan, B., Yue, P. , Yan, Z., and Tapete, D., 2019. A stream computing approach for live environmental models using a spatial data infrastructure with a waterlogging model case study. Environmental Modelling & Software , 119: 182-196.

[20] Gao, F., Yue, P. , Zhang, C., and Wang, M., 2019. Coupling components and services for integrated environmental modelling. Environmental Modelling & Software , 118: 14-22.

[21] Jiang, L., Yue, P. , Kuhn, W., Zhang, C., Yu, C., and Guo, X., 2018. Advancing interoperability of geospatial data provenance on the web: Gap analysis and strategies. Computers & Geosciences , 117(8): 21-31.

[22] Sun, Z., Di, L., Hao, H., Wu, X., Tong, D.Q., Zhang, C., Virgei, C., Fang, H., Yu, E., Tan, X. Yue, P. , and Lin, L., 2018. CyberConnector: a service-oriented system for automatically tailoring multisource Earth observation data to feed Earth science models. Earth Science Informatics , 11(1): 1-17.

[23] Zhang, M., Yue, P. , Wu, Z., Ziebelin, D., Wu, H. and Zhang, C., 2017. Model provenance tracking and inference for integrated environmental modelling. Environmental Modelling & Software , 96: 95-105.

[24] Tan, Z., Yue, P. and Gong, J., 2017. An Array Database Approach for Earth Observation Data Management and Processing. ISPRS International Journal of Geo-Information , 6(7), 220.

[25] Gong, J., Yue, P. , Woldai, T., Tsai, F., Vyas, A., Wu, H., Gruen, A., Wang, L., and Musikhin, I., 2017. Geoinformatics education and outreach: looking forward. Geo-spatial Information Science , 20(2): 209-217.

[26] Zhang, M., Bu, X. and Yue, P. , 2017. GeoJModelBuilder: an open source geoprocessing workflow tool. Open Geospatial Data, Software and Standards , 2, 1-8.

[27] Sun, Z., Di, L., Heo, G., Zhang, C., Fang, H., Yue, P. , Jiang, L., Tan, X., Guo, L., & Lin, L., 2017. GeoFairy: Towards a one-stop and location based Service for Geospatial Information Retrieval. Computers, Environment and Urban Systems , 62, 156-167.

[28] Yue, P. , Ramachandran, R., Baumann, P., Khalsa, S., Deng, M., and Jiang, L., 2016. Recent Activities in Earth Data Science. IEEE Geoscience and Remote Sensing Magazine , 4(4): 84-89.

[29] Li, M., Zhu, X., Guo, W., Yue, P. , and Fan, Y., 2016. A case-based reasoning approach for task-driven remote sensing image discovery under spatial–temporal constraints. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing , 9 (1), 454-466.

[30] Sun, Z., Fang, H., Di, L., Yue, P. , Tan, X., and Bai, Y., 2016. Developing a web-based system for supervised classification of remote sensing images. GeoInformatica . 20(4), 629-649.

[31] Sun, Z., Fang, H., Di, L., and Yue, P. , 2016. Realizing parameterless automatic classification of remote sensing imagery using ontology engineering and cyberinfrastructure techniques, Computers & Geosciences , 94: 56-67.

[32] Yue, P. , Guo, X., Zhang, M., Jiang, L., and Zhai, X., 2016. Linked data and SDI: the case on web geoprocessing workflows. ISPRS Journal of Photogrammetry and Remote Sensing . 114: 245-257 .

[33] Yue, P. , Zhang, C., Zhang, M., Zhai, X., and Jiang, L., 2015. An SDI approach for big data analytics: the case on sensor web event detection and geoprocessing workflow. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing , 8(10), 4720- 4728.

[34] Yue, P. , Ramachandran, R., Baumann, P., 2015. Editorial: intelligent GIServices. Earth Science Informatics , 8(3), 461-462.

[35] Yue, P. , Baumann, P., Bugbee, K., and Jiang, L., 2015. Towards Intelligent GIServices. Earth Science Informatics , 8(3), 463-481.

[36] Yue, P. , Zhang, M., and Tan, Z., 2015. A geoprocessing workflow system for environmental monitoring and integrated modelling. Environmental Modelling & Software . 69, 128-140.

[37] Hu, L., Yue, P. , Zhang, M., Gong, J., Jiang, L., Zhang, X., 2015. Task-oriented Sensor Web data processing for environmental monitoring. Earth Science Informatics , 8(3), 511-525.

[38] Sun, Z., Fang, H., Deng, M., Chen, A., Yue, P. , and Di, L., 2015. Regular Shape Similarity Index: A Novel Index for Accurate Extraction of Regular Objects from Remote Sensing Images. IEEE Transactions on Geoscience and Remote Sensing , 53(7), 3737-3748.

[39] He, L., Yue, P. , Jiang, L., and Zhang, M., 2015. Fuzzy spatial relation ontology driven detection of complex geospatial features in a web service environment. Earth Science Informatics , 8(1), 63-76 .

[40] He, L., Yue, P. , Di, L., Zhang, M., and Hu, L., 2015. Adding geospatial data provenance into SDI - a service-oriented approach. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing , 8(2), 926-936 .

[41] Sun, Z., Peng, C., Deng, M., Chen, A., Yue, P. , Fang, H., and Di, L., 2014. Automation of customized and near-real-time vegetation condition index generation through cyberinfrastructure-based geoprocessing workflows. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing , 7(11), 4512-4522 .

[42] Zhai, X, Yue, P. , Jiang, L., Wang, L., 2014. Three-dimensional geospatial information service based on cloud computing, Journal of Applied Remote Sensing , 8(1): 085195.

[43] Yue, P. , Jiang, L., Hu, L., 2014. Google Fusion Tables for managing soil moisture sensor observations. IEEE Journal of Selected Topics in Applied Earth Observations And Remote Sensing , 7(11), 4414-4421 .

[44] Li, D., Gong, J., and Yue, P. , 2014. Geoinformatics education in China. Geo-spatial Information Science , 17(4), 208-218.

[45] Han, W., Yang, Z., Di, L., and Yue, P. , 2014. A Geospatial Web Service Approach for Creating On-demand Cropland Data Layer Thematic Maps. Transactions of the ASABE , 57(1), 239-247.

[46] Yuan, J., Yue, P. , Gong, J., and Zhang, M., 2013. A linked data approach for geospatial data provenance . IEEE Transactions on Geoscience and Remote Sensing , 51(11), 5105-5112 .

[47] Yue, P. , Di, L., Wei, Y., and Han, W., 2013. Intelligent services for discovery of complex geospatial features from remote sensing imagery. ISPRS Journal of Photogrammetry and Remote Sensing . 83: 151-164 .

[48] Sun, Z., Yue, P. , Hu, L., Gong, J., Zhang, L., Lu, X., 2013. GeoPWProv: interleaving map and faceted metadata for provenance visualization and navigation. IEEE Transactions on Geoscience and Remote Sensing , 51(11), 5131-5136 .

[49] Yue, P. , Zhou, H., Gong, J., and Hu, L., 2013. Geoprocessing in cloud computing platforms – a comparative analysis. International Journal of Digital Earth . 6(4): 404-425 .

[50] Di, L., Yue, P. , Ramapriyan, H.K., and King, R., 2013. Introduction to the special issue on geoscience data provenance. IEEE Transactions on Geoscience and Remote Sensing , 51(11), 5062-5064 .

[51] Di, L., Yue, P. , Ramapriyan , H.K., and King , R., 2013. Geoscience data provenance: an overview. IEEE Transactions on Geoscience and Remote Sensing , 51(11), 5065-5072 .

[52] Zhai, X., Zhu, X., Lu, X., Yuan, J., Li, M., and Yue, P. , 2012. Metadata harvesting and registration in a geospatial sensor web registry. Transactions in GIS . 16(6): 763-780 .

[53] Yue, P. , Di, L., Han, W., Zhao, P., Yang, W., and He, L., 2012. Service-oriented approach for geospatial feature discovery. Earth Science Informatics , 5(3-4): 153-165.

[54] Sun, Z., Yue, P. , Lu, X., Zhai, X., and Hu, L., 2012. A task ontology driven approach for live geoprocessing in a service oriented environment. Transactions in GIS . 16(6): 867-884.

[55] Zhao, P., Foerster, T., and Yue, P. , 2012. The geoprocessing web. Computers & Geosciences , 47 (10): 3-12.

[56] Yue, P. , Gong, J., Di, L., and He, L., 2012. Automatic geospatial metadata generation for Earth science virtual data products, GeoInformatica , 16(1): 1-29.

[57] Sun, Z., Yue, P. , and Di, L., 2012. GeoPWTManager: a task-oriented web geoprocessing system. Computers & Geosciences , 47 (10): 34-45.

[58] Yue, P. , Wei, Y., Di, L., He, L., Gong, J., and Zhang, L., 2011. Sharing geospatial provenance in a service-oriented environment, Computers, Environment and Urban Systems , 35 (4): 333-343.

[59] Yue, P. , Gong, J., Di, L., He, L., and Wei, Y., 2011. Integrating semantic web technologies and geospatial catalog services for geospatial information discovery and processing in cyberinfrastructure. GeoInformatica , 15 (2): 273-303.

[60] Yue, P. , Gong, J., Di, L., Yuan, J., Sun, L., Sun, Z., and Wang, Q., 2010 . GeoPW: Laying Blocks for the Geospatial Processing Web. Transactions in GIS , 14 (6): 755–772.

[61] Yue, P. , Gong, J., Xiang, L. and Chen, J., 2010 . Analysis-enhanced virtual globe for digital Earth . Science China Technological Sciences , 53 (s1): 61-67.

[62] Yue, P. , Gong, J., and Di, L., 2010. Augmenting geospatial data provenance through metadata tracking in geospatial service chaining. Computers & Geosciences , 36 (3): 270-281.

[63] Boulos, M.N.K., Warren, J., Gong, J., and Yue, P. , 2010. Web GIS in practice VIII: HTML5 and the canvas element for interactive online mapping. International Journal of Health Geographics , 2010, 9:14-26.

[64] Gong, J., Xiang, L., Chen, J., and Yue, P. , 2010 . Multi-source geospatial information integration and sharing in virtual globes . Science China Technological Sciences , 53 (s1): 1-6.

[65] Yue, P. , Di, L., Yang, W., Yu, G., Zhao, P. and Gong, J., 2009. Semantic web services - based process planning for earth science applications. International Journal of Geographical Information Science , 23 (9): 1139-1163.

[66] Zhao, P., Di, L., Yu, G., Yue, P. , Wei., Y., and Yang, W., 2009. Semantic web-based geospatial knowledge transformation. Computers & Geosciences , 35 (4): 798-808.

[67] Yue, P. , Di, L., Yang, W., Yu, G. and Zhao, P., 2007. Semantics-based automatic composition of geospatial Web services chains. Computers & Geosciences , 33 (5): 649-665.

[68] 乐鹏 . 高性能地理计算 [M]. 科学出版社， 2021.

[69] 乐鹏 . 网络地理信息系统和服务 [M]. 武汉大学出版社， 2011.

[70] 乐鹏 , 刘瑞祥 , 上官博屹 , 曹志鹏 , 刘帅旗 , 徐翰文 . 地理人工智能样本：模型、质量与服务 [J]. 武汉大学学报 ( 信息科学版 ), 2023, 48(10): 1616-1631.

[71] 高凡 , 乐鹏 , 姜良存 , 曹志鹏 , 梁哲恒 , 上官博屹 , 胡磊 , 赵帅锋 . GeoCube: 面向大规模分析的多源对地观测时空立方体 [J]. 遥感学报， 2022, 26(6): 1051-1066.

[72] 曹志鹏 , 姜良存 , 黄秋钧 , 乐鹏 , 上官博屹 , 罗啊玲 , 梁哲恒 . 利用破坏重建算法进行物流车辆动态调度 [J]. 武汉大学学报•信息科学版 . 2021, 46(5): 755-765

[73] 李皓 , 乐鹏 , 姜良存 , 张明达，梁哲恒 . 矢量地理信息溯源记录组织验证的区块链技术 [J]. 测绘学报， 2021 ， 50(6) ： 823-832.

[74] 田晨睿 , 姜良存 , 张明达 , 上官博屹 , 乐鹏 . 结合多层感知器与 KM 算法的 POI 匹配方法 [J]. 地理与地理信息科学， 2020 ， 36(02):16-21.

[75] 上官博屹 , 刘威 , 乐鹏 , 王密，江昊，颜哲人 . 一种面向空间信息网络的星地协同计算迁移方法 [J]. 武汉大学学报·信息科学版 , 2019, 44(3): 459-466.

[76] 乐鹏 , 吴昭炎 , 上官博屹 . 基于 Spark 的分布式空间数据存储结构设计与实现 [J]. 武汉大学学报•信息科学版 , 2018,43(12): 2295-2302 .

[77] 张明达 , 乐鹏 , 高凡 . 组件与服务耦合的地学模型集成方法与实现 [J]. 武汉大学学报·信息科学版 , 2018, 43(7): 1106-1112.

[78] 上官博屹 , 乐鹏 . 流计算与传感网集成的城市内涝模型实时感知研究 [J]. 地理信息世界 , 2018, 25 (03):9-14.

[79] 卜晓倩 , 乐鹏 , 张明达 , 汪林楠 . 分布式多源处理集成的地学工作流脚本方法 [J] ，测绘科学， 2016, 41(10) ： 159-164.

[80] 胡磊 , 乐鹏 , 龚健雅，张锡宁 . 异步地理信息网络处理服务方法研究 [J] ，武汉大学学报 •信息科学版， 2016, 41(5) ： 679-685.

学生培养：

[1] 国际化培养 ( 参见 Link... )

[2] 实验室常年接收本科生、研究生、博士后，联系邮箱： pyue_whu@163.com

学生毕业去向：

[1] 高校任教：美国乔治梅森大学、武汉大学、武汉理工大学、湖北大学、西北大学、南京信息工程大学…

[2] 事业单位：国家基础地理信息中心、天津测绘院、铁四院、中南电力设计院、武汉市不动产登记中心…

[3] 企业：华为、百度、腾讯、顺丰、中国银联、招商银行、天津航空、北京洛斯达、国电南瑞…

实验室网站： http://geos.whu.edu.cn