職稱/職務

學術教授

博導/碩導

碩導

聯系電話

18515074359

電子郵箱

lizh323@126.com

辦公地址

山東省青島市黃島區前灣港路579號J6-360

學習與工作經歷

2021.09-至 今，9999js金沙老品牌 學術教授

2017.01-2018.08，英國Newcastle University 博士后

2016.08-2021.09，北京市農林科學院（信息中心） 助理研究員

2011.09-2016.06，浙江大學，農業遙感與信息技術 博士

2007.09-2011.07，山東農業大學，農學   學士

研究方向

農業定量遙感、智慧農業、作物生長模型與遙感同化

主講課程

本科生課程：《地理國情監測》、《MATLAB與應用》

研究生課程：《遙感地學分析與應用》、《測繪科技論文英語寫作》

承擔科研

課題

1. 國家自然科學基金（面上項目），耦合多源異類數據的冬小麥產量預測機制與時空遷移模型研究，2023.1-2026.12，主持

2. 國家自然科學基金（青年項目）（41701375），DSSAT模型結合遙感數據同化和氣象預報的冬小麥品質預報機理研究，2018.01-2020.12，主持

3. 農業農村部項目（15203001），農業農村資源監測統計（農情調度），2019.06-2020.12，主持

4. 山東省高等學校青年創新團隊,天空地農情遙感監測及預警研究創新團隊,2022.1-2024.12，主持

5. 國家重點研發計劃（中英牛頓基金），星機地網多平臺蘋果果園精準感知技術，2019.3-2022.3，課題主持

6. 重慶市技術創新與應用發展專項重點項目，茶葉智慧化栽培技術研究，2019.06-2022.06，課題主持

獲獎情況

1. 2021，農業農村部神農中華農業科技獎（第5完成人）

2. 2019，教育部科技進步獎一等獎（第15完成人）

3. 2019，北京市農業技術推廣獎三等（第2完成人）

4. 2017，北京市優秀人才，2017.10

5. 2021，北京市科協青年人才托舉工程入選者

6. 2021，山東科技大學“菁英計劃A類人才”

著作

1. 楊貴軍，趙春江，李振海. 作物氮素定量遙感與應用.  科學出版社. 2019.08

論文

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/通訊作者)

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，通訊作者)

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，通訊作者)

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，通訊作者)

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，通訊作者)

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

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，通訊作者)

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，通訊作者)

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)

專利

1. 發明專利：基于氮素組分輻射傳輸模型的植株氮素估算方法和系統(ZL201710569833.3)，2020.2.14. （第一完成人）