研究方向
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水资源遥感
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数据同化
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土壤水分监测模拟
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蒸散发估算
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精细农业模拟
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林火风险评估
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招生信息
本科生培养
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如果你对以下研究问题感兴趣,请联系我:
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干旱事件如何影响生态系统功能?
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遥感技术如何服务于水资源管理和农业生产?
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如何结合作物模型与观测进行农作物精确估产?
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研究生培养
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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:
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遥感/地理信息系统
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水利工程
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水文水资源
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测绘工程
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教育经历
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2013.10 - 2019.1 荷兰代尔夫特理工大学 水管理 博士
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2010.9 - 2013.6 北京师范大学 地图学与地理信息系统 硕士
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2006.9 - 2010.7 同济大学 测绘工程 学士
工作经历
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2022.2 - 3044am永利集团 3044am永利集团 副教授
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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
- 3044am永利集团“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
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客座编辑:Frontiers in Water, Water, Remote Sensing
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学术会员:美国地球物理联合会 (AGU), 欧洲地理科学联合会 (EGU)
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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)
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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.
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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.
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覃佳盛★,杨婷★,吕洋*.1980—2022年我国骤旱特征及趋势分析.3044am永利集团学报(自然科学版)(中英文),2024,63(05):48-62.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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Ji, Y., Fu, J., Lu, Y., & Liu, B. (2023). Three-dimensional-based global drought projection under global warming tendency. Atmospheric Research, 106812.
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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.
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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.
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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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.