杨超，副研究员，硕士生导师，地图学与地理信息系统专业博士，美国乔治梅森大学访问学者。主要从事传感网和时空大数据、社交媒体大数据、时空数据挖掘、以及空间正义等方面的研究。主持国家重点研发计划项目、湖北省重点研发计划项目和国家自然科学基金等项目10余项；发表SCI(E)/SSCI论文30余篇；

科研项目(PI)：

1.科技部, 国家重点研发计划,城市精细场景时空感知设备与在线监测技术, 2019-07 至 2022-06, 105万元, 主持

2.科技部,国家重点研发计划,城市运行智能感知与分析决策关键技术, 2020-10 至 2023-09, 60.5万元,主持

3.科技部, 国家重点研发计划,位置感知的信息融合协同计算与服务, 2017-07 至 2021-06, 55万元,主持

4.国家自然科学基金委 青年项目 传感网节点环境下地学工作流构建方法方法研究 2015-2018 25万元 主持

5.国家自然科学基金-青年科学基金项目 基于众源地理数据的城市道路变化提取与更新方法研究 25万元 完成，参与

6.湖北省科研项目-研发与示范类项目 测绘遥感大数据高效处理与智能分析 80万元，主持

7.实验室基金 空间环境监测传感网体系与仿真系统 100万元 在研，参与

8.横向一般项目 福贡县草果提质增效草果产业数字一张图 110万元，主持

学术论文：

1. Dong X, Xie J, Tu K, et al. DSFNet: Dual-Stream-Fusion Network for Farmland Parcel Mapping in High-Resolution Satellite Images[C]//2023 11th International Conference on Agro-Geoinformatics (Agro-Geoinformatics). IEEE, 2023: 1-6.

2. Lai C, Chaogui K, Chao Y. Understanding Citizens' emotion States under the Urban Livability Environment through Social Media Data: a Case Study of Wuhan[J]. Journal of Geodesy & Geoinformation Science, 2022, 5(2).

3. Xu L, Chen N, Yang C, et al. A parametric multivariate drought index for drought monitoring and assessment under climate change[J]. Agricultural and Forest Meteorology, 2021, 310: 108657.

4. Qi K, Yang C, Hu C, et al. A multi-level improved circle pooling for scene classification of high-resolution remote sensing imagery[J]. Neurocomputing, 2021, 462: 506-522.

5. Qi K, Yang C, Hu C, et al. Deep Object-Centric Pooling in Convolutional Neural Network for Remote Sensing Scene Classification[J]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021, 14: 7857-7868.

6. Shen Y, Shen G, Zhai H, et al. A Gaussian Kernel-Based Spatiotemporal Fusion Model for Agricultural Remote Sensing Monitoring[J]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021, 14: 3533-3545.

7. Zhai H, Lv C, Liu W, et al. Understanding Spatio-Temporal Patterns of Land Use/Land Cover Change under Urbanization in Wuhan, China, 2000–2019[J]. Remote Sensing, 2021, 13(16): 3331.

8. Qi K, Yang C, Hu C, et al. Rotation invariance regularization for remote sensing image scene classification with convolutional neural networks[J]. Remote Sensing, 2021, 13(4): 569.

9. Xu L, Chen N, Yang C. Quantifying the uncertainty of precipitation forecasting using probabilistic deep learning[J]. Hydrology and Earth System Sciences Discussions, 2021, 2021: 1-27.

10. Li J, Shen Y, Yang C. An adversarial generative network for crop classification from remote sensing timeseries images[J]. Remote Sensing, 2020, 13(1): 65.

11. He, Z., Deng, M., Cai, J., Xie, Z., Guan, Q., & Yang, C. (2020). Mining spatiotemporal association patterns from complex geographic phenomena. International Journal of Geographical Information Science, 34(6), 1162-1187.

12. Qi K, Yang C, Hu C, et al. Polycentric circle pooling in deep convolutional networks for high-resolution remote sensing image recognition[J]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2020, 13: 632-641.

13. He Z, Deng M, Cai J, et al. Mining spatiotemporal association patterns from complex geographic phenomena[J]. International Journal of Geographical Information Science, 2020, 34(6): 1162-1187.

14. Bruno S, Yang C, Tian W, et al. Exploring the characteristics of tourism industry by analyzing consumer review contents from social media: a case study of Bamako, Mali[J]. Geo-spatial Information Science, 2019, 22(3): 214-222.

15. Yang C, Xiao M, Ding X, et al. Exploring human mobility patterns using geo-tagged social media data at the group level[J]. Journal of Spatial Science, 2019, 64(2): 221-238.

16. Xu Z, Meng S, Zhong S, et al. Study on temporal and spatial adaptability of crop classification models[C]//2019 8th International Conference on Agro-Geoinformatics (Agro-Geoinformatics). IEEE, 2019: 1-7. 

17. Hu, C., Li, J., Lin, X., Chen, N., & Yang, C. (2018). An observation capability semantic-associated approach to the selection of remote sensing satellite sensors: A case study of flood observations in the Jinsha River basin. Sensors, 18(5), 1649.

18. Yang C, Xie Z, Xu Z. An asynchronous Geoprocessing Workflow and its application to an Antarctic ozone monitoring and mapping service[J]. International Journal of Digital Earth, 2016, 9(2): 156-170.

19. 杨超, 杨柳松, 杜阳, 等. 融合图像和时空信息的社交媒体用户活动 分类方法[J]. Geomatics & Information Science of Wuhan University, 2023, 48(3).

20. 王梨名, 祁昆仑, 杨超, 等. 弱监督尺度自适应增强的高分辨率 遥感影像场景分类[J]. Journal of Remote Sensing, 2023, 27(12).

学生招生：

硕士招生学科：

0854|电子信息-->085400|电子信息

0857|资源与环境-->085700|资源与环境