李贺，男，中国科学院地理科学与资源研究所，地理信息科学与技术全国重点实验室 副研究员、硕士生导师

    中国农学会智慧农业分会委员

研究领域与研究方向：

研究领域：农业遥感与空间智能

主要研究方向：作物/土壤遥感、智慧农业、地理空间智能

教育背景：（倒序排列）

2013年9月–2016年6月，中国农业科学院研究生院，博士

2009年9月–2012年6月，河海大学，硕士

2005年9月–2009年6月，新疆大学，学士

工作经历：（倒序排列）

2025.01–至今，中国科学院地理科学与资源研究所，地理信息科学与技术全国重点实验室 副研究员

2020.11–2024.12，中国科学院地理科学与资源研究所，资源与环境信息系统国家重点实验室 副研究员

2016.07–2020.11，中国科学院地理科学与资源研究所，资源与环境信息系统国家重点实验室 助理研究员

科研项目：

1.中国科学院抢占科技制高点攻坚专项专题, ***, *盐碱地**, 01/2024-12/2026, 在研，主持

2.科技部国家重点研发计划项目子课题, 2023YFD1900104, 华北集约化区中低产田土壤障碍因子时空预测技术研究, 12/2023-12/2027, 在研, 主持

3.中国科学院先导专项B子课题, XDB0740303, 区域地缘合作与博弈决策支持，12/2023-11/2028, 在研, 主持

4.科技部国家重点研发计划项目子课题，2023YFD1900301, 碱性钙质土旱作中低产田土壤有机质和产能空间分布与演变规律研究, 07/2023-12/2026, 在研, 主持

5.国家自然科学基金重大项目子课题, 41890854, 高强度扰动下大湾区海陆场景功能优化与综合调控, 01/2019-12/2023, 结题, 主持

6.国家自然科学基金青年项目, 41801353, 集合四维变分同化叶面积指数和蒸散发的区域冬小麦产量估测，01/2019-12/2021, 结题, 主持

7.中国科学院战略性先导科技专项（A类）专题,  XDA23050101, 海岸带工农业格局及污染物入海防控解决方案, 01/2019-12/2023, 结题, 主持

8.科技部国家重点研发计划项目专题, 2018YFC1903001, 基于物联网的固体废物收集收运管理模式优化与智能管理平台, 12/2018-11/2022, 结题, 主持

9.国家科技基础资源调查专项子课题, 2017FY100706, 广东海岸带红树林资源遥感监测与评估, 02/2017-02/2022, 结题, 主持

代表性论著：

1.Du R., Li H.*, Huang C., Liu Q., Liu Y., Wang Z., 2025. Spatial extraction of sea-cucumber aquaculture ponds using remote sensing spectral and temporal features. Frontiers in Marine Science, 12. 

2.Li, H., Liu, Q., Huang, C., Zhang, X., Wang, S., Wu, W., Shi, L., 2024. Variation in vegetation composition and structure across mudflat areas in the yellow river delta, China. Remote Sensing, 16 (18), 3495. 

3.Wang, Y., Huang, C., Liu, G., Zhao, Z., Li, H., Sun, Y., 2024. Assessing spatiotemporal risks of nonpoint source pollution via soil erosion: a coastal case in the yellow river delta, China. Environmental Science And Pollution Research, 31 (23), 34569-34587. 

4.Wang S., Huang C., Li H.*, et al. 2023. Synergistic Integration of Time Series Optical and Sar Satellite Data for Mariculture Extraction. Remote Sensing, 15(9): 2243.

5.Liu Y., Ding Z., …, Li H.*, et al. 2023. Restored Vegetation is More Resistant to Extreme Drought Events than Natural Vegetation in Southwest China. Science of The Total Environment, 866: 161250.

6.Ding, Z., Su, F., …, Li, H., Yu, P., & Tang, X., 2023. Whether human-induced activities could change the gradient pattern of coastal land use along the sea-land direction: a case study in Manila Bay, Philippines. Acta Oceanologica Sinica, 42, 163-174

7.Wu W., Liu Q., Li H., et al. 2023. Spatiotemporal Distribution of Heatwave Hazards in the Chinese Mainland for the Period 1990–2019. International Journal of Environmental Research and Public Health, 20(2): 1532.

8.Li H., Wang P., Huang C., 2022. Comparison of Deep Learning Methods for Detecting and Counting Sorghum Heads in UAV Imagery. Remote Sensing, 14(13): 3143.

9.Huang C., Hou X., Li H.*. An improved minimum cumulative resistance model for risk assessment of agricultural non-point source pollution in the coastal zone. Environmental Pollution, 120036.

10.Huang C., Zhang C., Li H.*, 2022. Assessment of the Impact of Rubber Plantation Expansion on Regional Carbon Storage Based on Time Series Remote Sensing and the InVEST Model. Remote Sensing, 2022, 14(24): 6234.

11.Liu, Q., Huang, C., Gao, X., Li, H., & Liu, G., 2022. Size distribution of the quasi-circular vegetation patches in the Yellow River Delta, China. Ecological Informatics, 71, 101807

12.Ding, Y., Yang, X., Wang, Z., Fu, D., Li, H., et al. 2022. A Field-Data-Aided Comparison of Three 10 m Land Cover Products in Southeast Asia. Remote Sensing, 14, 5053.

13.Peng, J., Rezaei, E.E., Zhu, W., Wang, D., Li, H., Yang, B., & Sun, Z., 2022. Plant Density Estimation Using UAV Imagery and Deep Learning. Remote Sensing, 14, 5923.

14.Dai, X., Liu, Q., Huang, C., & Li, H., 2021. Spatiotemporal Variation Analysis of the Fine-Scale Heat Wave Risk along the Jakarta-Bandung High-Speed Railway in Indonesia. International Journal of Environmental Research and Public Health, 18, 12153.

15.Ding, Z., Liu Y., Lou Y., Jiang M., Li, H., & Lü, X., 2021. How soil ion stress and type influence the flooding adaptive strategies of Phragmites australis and Bolboschoenus planiculmis in temperate saline–alkaline wetlands? Science of the Total Environment, 771, 144654.

16.Ding, Z., Zheng, H., Li, H., et al. 2021. Afforestation-driven increases in terrestrial gross primary productivity are partly offset by urban expansion in Southwest China. Ecological Indicators, 127.

17.Shi, L., Liu, Q., Huang, C., Gao, X., Li, H., & Liu, G., 2021. Mapping quasi-circular vegetation patch dynamics in the Yellow River Delta, China, between 1994 and 2016. Ecological Indicators, 126, 107656.

18.Wu, S., Ren, J., Chen, Z., Yang, P., Li, H., & Liu, J., 2021. Evaluation of Winter Wheat Yield Simulation Based on Assimilating LAI Retrieved From Networked Optical and SAR Remotely Sensed Images Into the WOFOST Model. IEEE Transactions of Geoscience and Remote Sensing, 59, 9071-9085.

19.Wu, S., Yang, P., Chen, Z., Ren, J., Li, H., & Sun, L., 2021. Estimating winter wheat yield by assimilation of remote sensing data with a four-dimensional variation algorithm considering anisotropic background error and time window. Agricultural and Forest Meteorology, 301-302, 108345.

20.Wu, S., Yang, P., Ren, J., Chen, Z., & Li, H., 2021. Regional winter wheat yield estimation based on the WOFOST model and a novel VW-4DEnSRF assimilation algorithm. Remote Sensing of Environment, 255, 112276.

21.Li H., Fu D., Huang C., Su F., Liu Qi., Liu G., Wu S., 2020. An approach to high-resolution rice paddy mapping using time-series sentinel-1 sar data in the mun river basin, Thailand. Remote Sensing, 12(23), 3959.

22.Li, H., Huang, C., Liu, Q., & Liu, G., 2020. Accretion–Erosion Dynamics of the Yellow River Delta and the Relationships with Runoff and Sediment from 1976 to 2018. Water, 12, 2992.

23.Huang, C., Zhang, C., Liu, Q., Wang, Z., Li, H.*, & Liu, G., 2020. Land reclamation and risk assessment in the coastal zone of China from 2000 to 2010. Regional Studies in Marine Science, 39, 101422.

24.Wu, S., Ren, J., Chen, Z., Yang, P., & Li, H., 2020. Soil moisture estimation based on the microwave scattering mechanism during different crop phenological periods in a winter wheat-producing region. Journal of Hydrology, 590, 125521.

25.Wu, S., Yang, P., …, & Li, H., 2020. Winter wheat LAI inversion considering morphological characteristics at different growth stages coupled with microwave scattering model and canopy simulation model. Remote Sensing of Environment, 240, 111681

26.Zhang, C., Huang, C., Li, H., Liu, Q., Li, J., Bridhikitti, A., & Liu, G. 2020. Effect of Textural Features in Remote Sensed Data on Rubber Plantation Extraction at Different Levels of Spatial Resolution. Forests, 11(4): 399.

27.Hao, P., Chen, Z., Tang, H., Li, D., Li, H., 2019. New Workflow of Plastic-Mulched Farmland Mapping using Multi-Temporal Sentinel-2 data. Remote Sensing, 11(11): 1353.

28.Liu, Q., Liu, G., Huang, C., & Li, H., 2019. Soil physicochemical properties associated with quasi-circular vegetation patches in the Yellow River Delta, China. Geoderma, 337: 202-214.

29.Liu, Q., Song, H., Liu, G., Huang, C., & Li, H., 2019. Evaluating the Potential of Multi-Seasonal CBERS-04 Imagery for Mapping the Quasi-Circular Vegetation Patches in the Yellow River Delta Using Random Forest. Remote Sensing, 11(10): 1216.

30.Liang, L., Liu, Q., Liu, G., Li, H., & Huang, C., 2019. Accuracy Evaluation and Consistency Analysis of Four Global Land Cover Products in the Arctic Region. Remote Sensing, 11(12): 1396.

31.Li, H., Liu, G., Liu, Q., Chen, Z., & Huang, C., 2018. Retrieval of Winter Wheat Leaf Area Index from Chinese GF-1 Satellite Data Using the PROSAIL Model. Sensors, 18(4): 1120.

32.Liu, Q., Liu, G., Huang, C., & Li, H., 2018. Remote Sensing Monitoring of Surface Characteristics in the Badain Jaran, Tengger, and Ulan Buh Deserts of China. Chinese Geographical Science, 29(1): 151-165.

33.Pan, H., Chen, Z., Ren, J., Li, H., & Wu, S., 2018. Modeling Winter Wheat Leaf Area Index and Canopy Water Content With Three Different Approaches Using Sentinel-2 Multispectral Instrument Data. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing: 1-11.

34.Wu, S., Ren, J., …, Li, H., Pan, H., & Guo, W., 2018. Influence of reconstruction scale, spatial resolution and pixel spatial relationships on the sub-pixel mapping accuracy of a double-calculated spatial attraction model. Remote Sensing of Environment, 210: 345-361.

35.Xia, Q., Qin, C., Li, H., Huang, C., & Su, F., 2018. Mapping Mangrove Forests Based on Multi-Tidal High-Resolution Satellite Imagery. Remote Sensing, 10(9): 1343.

36.Li H., Chen Z., Liu, G., Jiang Z., Huang C., 2017. Improving winter wheat yield estimation from the ceres-wheat model to assimilate leaf area index with different assimilation methods and spatio-temporal scales. Remote Sensing, 9(190).

37.Li H., Jiang Z., Chen Z., Ren J., Liu B., Hasituyu., 2017. Assimilation of temporal-spatial leaf area index into the ceres-wheat model with ensemble kalman filter and uncertainty assessment for improving winter wheat yield estimation. Journal of Integrative Agriculture, 16(10), 2283-2299.

38.Li, H., Chen, Z., Jiang, Z., Wu, W., Ren, J., LIU, B., & Hasituyu., 2017. Comparative analysis of GF-1, HJ-1, and Landsat-8 data for estimating the leaf area index of winter wheat. Journal of Integrative Agriculture, 16(2): 266-285.

39.Li, H., Chen, Z., Jiang, Z., Sun, L., Liu, K., & Liu, B., 2015. Temporal-spatial variation of evapotranspiration in the Yellow River Delta based on an integrated remote sensing model. Journal of Applied Remote Sensing, 9(096047).

研究生招生与培养：

招生专业：地图学与地理信息系统

招生方向：欢迎具有遥感、GIS、地理、作物模型、计算机等背景的相关专业考生报考

联系方式：

通讯地址：北京市朝阳区大屯路甲11号 中国科学院地理科学与资源研究所

邮    编：100101

E-mail地址：lih@lreis.ac.cn