个人简历

学习与工作经历
2021.09 - 至今，山东科技大学测绘与空间信息学院，讲师/学术教授
2017.01 - 2018.08，英国Newcastle University工程学院，博士后
2016.12 - 2020.11，北京市农林科学院（信息中心），助理研究员
2016.08 - 2016.11，北京市农林科学院（信息中心），研究实习员
2011.09 - 2016.06，浙江大学环境与资源学院，农业遥感与信息技术，博士
2007.09 - 2011.07，山东农业大学农学院，农学，学士
课题
1. 山东科技大学“菁英计划A类人才”，2021.09-2026.08，主持
2. 国家自然科学基金（青年项目）（41701375），DSSAT模型结合遥感数据同化和气象预报的冬小麦品质预报机理研究，2018.01-2020.12，主持
3. 农业农村部项目（15203001），农业农村资源监测统计（农情调度），2019.06-2020.12，主持
4. 国家重点研发计划（中英牛顿基金）课题（2017YFE01225001），星机地网多平台苹果果园精准感知技术，2019.3-2022.3，主持
5. 重庆市技术创新与应用发展专项重点项目（课题）（cstc2019jscx-gksbX0092），茶叶智慧化栽培技术研究，2019.06-2022.06，主持
6. 中科院数字地球重点实验室开放课题，基于氮素组分辐射传输模型和DSSAT生长模型耦合的冬小麦品质遥感预测研究，2017.1-2018.12，主持
获奖情况
1. 中国农学会神农中华农业科技奖，稻麦养分定量遥感与测土配方施肥全程智能化服务关键技术及应用，2021.8（第5完成人）
2. 北京市科协青年人才托举工程入选者（2021-2023），2021.01
3. 教育部科技进步奖一等奖，农田信息空天地协同感知与精准管理技术及应用，2019.12（第15完成人）
4. 北京市农业技术推广奖三等奖，多平台小麦光谱诊断与精准施肥技术应用推广，2019.12（第2完成人）
5. 北京市优秀人才，2017.10
著作
1. 杨贵军，赵春江，李振海. 作物氮素定量遥感与应用. 科学出版社. 2019.08
专利
1. 发明专利：基于氮素组分辐射传输模型的植株氮素估算方法和系统(ZL201710569833.3)，2020.2.14. （第一完成人）

研究领域

农业定量遥感、智慧农业、作物生长模型与遥感同化""

近期论文

1. Xu Xiaobin, Nie Chenwei, Jin Xiuliang*, Li Zhenhai*, et al. A comprehensive yield evaluation indicator based on an improved fuzzy comprehensive evaluation method and hyperspectral data. Field Crops Research, 2021, 270:108204. (SCI/Q1/TOP)
2. Li Zhenhai, James Taylor, Yang Hao, et al. A hierarchical interannual wheat yield and grain protein prediction model using spectral vegetative indices and meteorological data. Field Crops Research, 2020, 248: 107711. (SCI/Q1/TOP)
3. Jin Xiuliang*, Li Zhenhai*, Clement Atzberger. Editorial for the Special Issue “Estimation of Crop Phenotyping Traits using Unmanned Ground Vehicle and Unmanned Aerial Vehicle Imagery”. Remote Sensing. 2020, 12(6), 940. (SCI/Q2)
4. Xu Xiaobin, Teng Cong, Zhao Yu, Li Zhenhai* et al. Prediction of Wheat Grain Protein by Coupling Multisource Remote Sensing Imagery and ECMWF Data, Remote Sensing, 2020, 12:1349. (SCI/Q2)
5. Zhao Yu, Chen Pengfei, Li Zhenhai*, et al. A modified critical nitrogen dilution curve for winter wheat to diagnose nitrogen status under different nitrogen and irrigation rates, Frontiers in Plant Science, 2020, 11:549636. (SCI/Q2/TOP)
6. Ren Hao#, Li Zhenhai#, Cheng Yi, et al. Narrowing Yield Gaps and Enhancing Nitrogen Utilization for Summer Maize by Combining the Effects of Varying Nitrogen Fertilizer Input and Planting Density in DSSAT Simulations. Frontiers in Plant Science, 2020, 11:560466. (SCI/Q2/TOP)
7. Zhao Yu#, Jiangwen Wang#, Zhenhai Li*, et al. An entirely new approach based on remote-sensing data to calculate the nitrogen nutrition index of winter wheat. Journal of Integrative Agriculture, 2020, 19(0): 2–18. (SCI/Q2/TOP)
8. Li Zhenhai, Zhenhong Li, David Fairbairn, et al, Multi-LUTs method for canopy nitrogen density estimation in winter wheat by field and UAV hyperspectral [J]. Computers and Electronics in Agriculture, 2019, 162: 174-182. (SCI/Q2)
9. LI Zhenhai, Jin Xiuliang, Liu Hailong, et al. 2019. Global sensitivity analysis of wheat grain yield and quality and the related process variables from the DSSAT-CERES model based on the extended Fourier Amplitude Sensitivity Test method. Journal of Integrative Agriculture, 18(7): 1547-1561. (SCI/Q2)
10. Xu Xiaobin, Zhu Hongchun, Li Zhenhai*, et al. A nitrogen spectral response model and nitrogen estimation of summer maize during the entire growth period[J]. International Journal of Remote Sensing, 2019: 1-17. (SCI/Q3)
11. Zhenhai Li, Jianqian He, Xingang Xu, et al, Estimating genetic parameters of DSSAT-CERES model with the GLUE method for winter wheat (Triticum aestivum L.) production, Computers and Electronics in Agriculture, 2018-11-01, 154(0):213-221. (SCI/Q2)
12. Li Zhenhai, Jin Xiuliang, Yang Guijun, et al. Remote sensing of leaf and canopy nitrogen status in winter wheat (Triticum aestivum L.) based on N-PROSAIL model. Remote Sensing, 2018, 10(9): 1463. (SCI/Q2)
13. Jin Xiuliang, Li Zhenhai*, Nie Chenwei, et al. Parameter sensitivity analysis of the AquaCrop model based on extended fourier amplitude sensitivity under different agro-meteorological conditions and application[J]. Field Crops Research, 2018, 226: 1-15. (SCI/Q1/TOP)
14. Li Zhenhai, Nie Chenwei, Wei Chuanwen, et al. Comparison of Four Chemometric Techniques for Estimating Leaf Nitrogen Concentrations in Winter Wheat Based on Hyperspectral Features. Journal of Applied Spectroscopy, 2016, 83(2):240-247. (SCI/Q4)
15. Li Zhenhai, Xiuliang Jin, Chunjiang Zhao*, et al, Estimating wheat yield and quality by coupling the DSSAT-CERES model and proximal remote sensing, European Journal of Agronomy,2015-08-16,71:53-62. (SCI/Q1/TOP)
16. Li Zhenhai, Xiuliang Jin,Jihua Wang*, et al, Estimating winter wheat LAI and leaf chlorophyll content from canopy reflectance data by integrating agronomic prior knowledge with the PROSAIL model, International Journal of Remote Sensing,2015-05-13,36(10):2634-2653 (SCI/Q3)
17. Li Zhenhai, Jihua Wang, Xingang Xu, et al, Assimilation of Two Variables Derived from Hyperspectral Data into the DSSAT-CERES Model for Grain Yield and Quality Estimation, Remote Sensing, 2015,12400-12418 (SCI/Q2)