研究方向

  • 水资源遥感

  • 数据同化

  • 土壤水分监测模拟

  • 蒸散发估算

  • 精细农业模拟

  • 林火风险评估

 

Google Scholar     ResearchGate     LinkedIn

 

招生信息

本科生培养

  • 如果你对以下研究问题感兴趣，请联系我：

    • 干旱事件如何影响生态系统功能？

    • 遥感技术如何服务于水资源管理和农业生产？

    • 如何结合作物模型与观测进行农作物精确估产？

研究生培养

  • 如果你有以下专业背景，并有志于水资源遥感事业，请联系我：

    • 遥感/地理信息系统

    • 水利工程

    • 水文水资源

    • 测绘工程

 

教育经历

  • 2013.10 - 2019.1    荷兰代尔夫特理工大学 水管理 博士

  • 2010.9 - 2013.6      北京师范大学 地图学与地理信息系统 硕士

  • 2006.9 - 2010.7      同济大学 测绘工程 学士

 

工作经历

  • 2022.2 -                新葡的京集团8814 新葡的京集团8814 副教授

  • 2019.2 - 2022.2    英国南安普顿大学 博士后

 

科研项目

  • 校级教学质量与教学改革工程项目，2023.01-2023.12，在研，主持
  • 高校基本科研业务费青年教师培育项目，2023.01-2023.12，在研，主持
  • 国家自然科学基金青年科学基金，基于多源遥感数据同化的珠江流域30米分辨率土壤水分获取与驱动机制研究，2023.01-2025.12，在研，主持
  • 新葡的京集团8814“百人计划”资助项目，2022.02-2025.12，在研，主持
  • 英国国家科研与创新署（UKRI）, 全球挑战研究基金（GCRF）, Building REsearch Capacity for sustainable water and food security In drylands of sub-saharan Africa (BRECcIA), 2017.10 至 今,  在研, 参与
  • 沙特阿卜杜拉国王科技大学（KAUST）, 竞争性研究基金（CRG），A new paradigm in precision agriculture: assimilation of ultra-fine resolution data into a crop yield forecasting model, 2018.05 至 今,  在研, 参与

 

讲授课程

  • 本科生：
    • 程序设计Ⅲ（含实验）
    • 资源与环境经济学
    • 高级语言程序设计（含实验）
    • 气象学与气候学
  • 研究生:
    • 现代灌区规划与管理

 

学术兼职

  • 客座编辑：Frontiers in Water, Water, Remote Sensing

  • 学术会员：美国地球物理联合会 (AGU), 欧洲地理科学联合会 (EGU)

  • 期刊审稿：Water Resources Research, Remote Sensing of Environment, Journal of Hydrology, Journal of Hydrometeorology, Journal of Geophysical Research - Atmospheres, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

 

期刊论文（★指导学生，*通讯作者）

  1. Wan, Y., Lu, Y.*, Wei, C.*, Liao, W., & Zhou, L. (2025). More frequent, longer, and hotter consecutive marine and terrestrial heatwaves in China's coastal regions. Marine Pollution Bulletin, 211, 117419.

  2. Yang, T.★, Qin, J.★, Li, X., Zhou, X. and Lu, Y.*, 2024. Ecological and vegetation responses in a humid region in southern China during a historic drought. Journal of Environmental Management, 371, p.122986.

  3. 覃佳盛★,杨婷★,吕洋*.1980—2022年我国骤旱特征及趋势分析.新葡的京集团8814学报(自然科学版)(中英文),2024,63(05):48-62. 

  4. Fu, J., Liu, B., Lu, Y., Chen, Y., Yang, F., He, Y., Jia, W. and Zhang, Y., 2024. Separating the impact of climate change and human activities on the connection between meteorological and hydrological drought. Hydrological Processes, 38(8), p.e15258.

  5. Anghileri, D., Chibarabada, T.P., Gadedjisso-Tossou, A., Craig, A., Li, C., Lu, Y., Chimimba, E.G., Kambombe, O., Musa, F., Ngongondo, C. and Eneya, L., 2024. Understanding the maize yield gap in Southern Malawi by integrating ground and remote-sensing data, models, and household surveys. Agricultural Systems, 218, p.103962.

  6. Wei, C., Liu, X., Zhang, L., Wan, Y., Huang, G., Lu, Y.*, & Zhang, X. (2024). Resilience analysis of global agricultural trade. Environment and Planning B: Urban Analytics and City Science, 23998083241229846.

  7. Li, D., Liu, B., Lu, Y., & Fu, J. (2024). The characteristic of compound drought and saltwater intrusion events in the several major river estuaries worldwide. Journal of Environmental Management, 350, 119659.

  8. Wei, C., Wei, H., Crivellari, A., Liu, T., Wan, Y., Chen, W., & Lu, Y. (2023). Gaofen-2 satellite image-based characterization of urban villages using multiple convolutional neural networks. International Journal of Remote Sensing, 44(24), 7808-7826.

  9. Li, D., Liu, B., Lu, Y., & Fu, J. (2023). Assessment of changes in severity of compound drought and saltwater intrusion events based on a multi‐index approach in Pearl River estuary. Hydrological Processes, 37(9), e14986.

  10. Priyatikanto, R., Lu, Y., Dash, J., & Sheffield, J. (2023). Improving generalisability and transferability of machine-learning-based maize yield prediction model through domain adaptation. Agricultural and Forest Meteorology, 341, 109652.

  11. Fu, J., Liu, B., Lu, Y., Liang, M., Tan, X., Li, D., & Huang, Z. (2023). Validation of the detected Dry–Wet Abrupt Alternation by developing a weighting analysis method. International Journal of Climatology, 1-18.

  12. Ji, Y., Fu, J., Lu, Y., & Liu, B. (2023). Three-dimensional-based global drought projection under global warming tendency. Atmospheric Research, 106812.

  13. Fu, J., Wang, W., Liu, B., Lu, Y., Xing, W., Cao, M., Zhu, S., Guan, T., Wei, J. & Chen, Z. (2022). Seasonal divergence of evapotranspiration sensitivity to vegetation changes–a proportionality-hypothesis-based analytical solution. Journal of Hydrology, p.129055.

  14. De Lannoy, G.J., Bechtold, M., Albergel, C., Brocca, L.L., Calvet, J., Carrassi, A., Crow, W.T., de Rosnay, P., Durand, M.T., Forman, B.A., Geppert, G., Girotto, M., Hendricks Franssen, H., Jonas, T., Kumar, S.V., Lievens, H., Lu, Y., Massari, C., Pauwels, V.R., Reichle, R.H., & Steele‐Dunne, S.C. (2022). Perspective on satellite-based land data assimilation to estimate water cycle components in an era of advanced data availability and model sophistication. Frontiers in Water.

  15. Li, C., Chimimba, E. G., Kambombe, O., Brown, L. A., Chibarabada, T. P., Lu, Y., ... & Dash, J. (2022). Maize Yield Estimation in Intercropped Smallholder Fields Using Satellite Data in Southern Malawi. Remote Sensing, 14(10), 2458. 

  16. Lu, Y., Wei, C., McCabe, M. F., & Sheffield, J. (2022). Multi-variable assimilation into a modified AquaCrop model for improved maize simulation without management or crop phenology information. Agricultural Water Management, 266, 107576.
  17. Wei, C., Chen, W., Lu, Y., Blaschke, T., Peng, J., & Xue, D. (2022). Synergies between Urban Heat Island and Urban Heat Wave Effects in 9 Global Mega–Regions from 2003 to 2020. Remote Sensing, 14(1), 70.
  18. Ziliani, M. G., Altaf, M. U., Aragon, B., Houburg, R., Franz, T. E., Lu, Y., ... & McCabe, M. F. (2022). Early season prediction of within-field crop yield variability by assimilating CubeSat data into a crop model. Agricultural and Forest Meteorology, 313, 108736.
  19. Tan, W., Wei, C., Lu, Y., & Xue, D. (2021). Reconstruction of All-Weather Daytime and Nighttime MODIS Aqua-Terra Land Surface Temperature Products Using an XGBoost Approach. Remote Sensing, 13(22), 4723.
  20. Wei, C., Zhao, Q., Lu, Y., & Fu, D. (2021). Assessment of empirical algorithms for shallow water bathymetry using multi-spectral imagery of Pearl River Delta coast, China. Remote Sensing, 13(16), 3123.
  21. Lu, Y., Chibarabada, T. P., McCabe, M. F., De Lannoy, G. J. M., & Sheffield, J. (2021). Global sensitivity analysis of crop yield and transpiration from the FAO-AquaCrop model for dryland environments. Field Crops Research, 269, 108182.
  22. Lu, Y., Chibarabada, T. P., Ziliani, M. G., Onema, J. M. K., McCabe, M. F., & Sheffield, J. (2021). Assimilation of soil moisture and canopy cover data improves maize simulation using an under-calibrated crop model. Agricultural Water Management, 252, 106884.
  23. Lu, Y., & Wei, C. (2021). Evaluation of microwave soil moisture data for monitoring live fuel moisture content (LFMC) over the coterminous United States. Science of the Total Environment, 771, 145410.
  24. Lu, Y., Steele-Dunne, S. C., & De Lannoy, G. J. (2020). Improving soil moisture and surface turbulent heat flux estimates by assimilation of SMAP brightness temperatures or soil moisture retrievals and GOES land surface temperature retrievals. Journal of Hydrometeorology, 21(2), 183-203.
  25. Dong, J., Wei, L., Chen, X., Duan, Z., & Lu, Y. (2020). An instrument variable based algorithm for estimating cross-correlated hydrological remote sensing errors. Journal of Hydrology, 581, 124413.
  26. Dong, J., Crow, W. T., Duan, Z., Wei, L., & Lu, Y. (2019). A double instrumental variable method for geophysical product error estimation. Remote Sensing of Environment, 225, 217-228.
  27. Lu, Y., Dong, J., & Steele-Dunne, S. C. (2019). Impact of soil moisture data resolution on soil moisture and surface heat flux estimates through data assimilation: a case study in the southern Great Plains. Journal of Hydrometeorology, 20(4), 715-730.
  28. Lu, Y., Steele‐Dunne, S. C., Farhadi, L., & van de Giesen, N. (2017). Mapping surface heat fluxes by assimilating SMAP soil moisture and GOES land surface temperature data. Water Resources Research, 53(12), 10858-10877.
  29. Lu, Y., Dong, J., Steele‐Dunne, S. C., & van de Giesen, N. (2016). Estimating surface turbulent heat fluxes from land surface temperature and soil moisture observations using the particle batch smoother. Water Resources Research, 52(11), 9086-9108.
  30. 蔡明勇, 吕洋, 杨胜天, & 周秋文. (2017). 雅鲁藏布江流域 TRMM 降水数据降尺度研究. 北京师范大学学报 (自然科学版), 53(1), 111-119.
  31. 吕洋, 董国涛, 杨胜天, 周秋文, & 蔡明勇. (2014). 雅鲁藏布江流域 NDVI 时空变化及其与降水和高程的关系. 资源科学, 36(3), 603-611.
  32. 吕洋, 杨胜天, 蔡明勇, 周秋文, & 董国涛. (2013). TRMM 卫星降水数据在雅鲁藏布江流域的适用性分析. 自然资源学报, 28(8), 1414-1425.