职称/职务

学术教授

博导/硕导

硕导

联系电话

18515074359

电子邮箱

lizh323@126.com

办公地址

山东省青岛市黄岛区前湾港路579号J6-360

学习与工作经历

2021.09-至 今，9999js金沙老品牌 学术教授

2017.01-2018.08，英国Newcastle University 博士后

2016.08-2021.09，北京市农林科学院（信息中心） 助理研究员

2011.09-2016.06，浙江大学，农业遥感与信息技术 博士

2007.09-2011.07，山东农业大学，农学   学士

研究方向

农业定量遥感、智慧农业、作物生长模型与遥感同化

主讲课程

本科生课程：《地理国情监测》、《MATLAB与应用》

研究生课程：《遥感地学分析与应用》、《测绘科技论文英语写作》

承担科研

课题

1. 国家自然科学基金（面上项目），耦合多源异类数据的冬小麦产量预测机制与时空迁移模型研究，2023.1-2026.12，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. 山东省高等学校青年创新团队,天空地农情遥感监测及预警研究创新团队,2022.1-2024.12，主持

5. 国家重点研发计划（中英牛顿基金），星机地网多平台苹果果园精准感知技术，2019.3-2022.3，课题主持

6. 重庆市技术创新与应用发展专项重点项目，茶叶智慧化栽培技术研究，2019.06-2022.06，课题主持

获奖情况

1. 2021，农业农村部神农中华农业科技奖（第5完成人）

2. 2019，教育部科技进步奖一等奖（第15完成人）

3. 2019，北京市农业技术推广奖三等（第2完成人）

4. 2017，北京市优秀人才，2017.10

5. 2021，北京市科协青年人才托举工程入选者

6. 2021，山东科技大学“菁英计划A类人才”

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

论文

1. Comparison and transferability of thermal, temporal and phenological-based in-season predictions of above-ground biomass in wheat crops from proximal crop reflectance data. Remote Sensing of Environment, 2022, 273, 112967. (SCI/Q1/TOP，第一/通讯作者)

2. Should phenological information be applied to predict agronomic traits across growth stages of winter wheat? Crop Journal, 2022, 10: 1346-1352. (SCI/Q1/TOP，通讯作者)

3. 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，通讯作者)

4. 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，第一作者)

5. Parameter sensitivity analysis of the AquaCrop model based on extended fourier amplitude sensitivity under different agro-meteorological conditions and application. Field Crops Research, 2018, 226: 1-15. (SCI/Q1/TOP，通讯作者)

6. Estimating wheat yield and quality by coupling the DSSAT-CERES model and proximal remote sensing, European Journal of Agronomy, 2015: 53-62. (SCI/Q1/TOP，第一作者)

7. 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，通讯作者)

8. Prediction of Wheat Grain Protein by Coupling Multisource Remote Sensing Imagery and ECMWF Data, Remote Sensing, 2020, 12:1349. (SCI/Q2，通讯作者)

9. 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，通讯作者)

10. 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，共同第一作者)

11. 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，通讯作者)

12. Multi-LUTs method for canopy nitrogen density estimation in winter wheat by field and UAV hyperspectral. Computers and Electronics in Agriculture, 2019, 162: 174-182. (SCI/Q2，第一作者)

13. 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，第一作者)

14. Estimating genetic parameters of DSSAT-CERES model with the GLUE method for winter wheat production, Computers and Electronics in Agriculture, 2018, 154(0):213-221. (SCI/Q2，第一作者)

15. 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，第一作者)

16. 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，第一作者)

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）