副研究員
李賀
文章來源： | 發布時間：2016-10-10 | 【打印】 【關閉】
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????李賀，男，中國科學院地理科學與資源研究所，地理信息科學與技術全國重點實驗室 副研究員、碩士生導師
????中國農學會智慧農業分會委員
研究領域與研究方向：
研究領域：農業遙感與空間智能
主要研究方向：作物/土壤遙感、智慧農業、地理空間智能
教育背景：（倒序排列）
2013年9月–2016年6月，中國農業科學院研究生院，博士
2009年9月–2012年6月，河海大學，碩士
2005年9月–2009年6月，新疆大學，學士
工作經歷：（倒序排列）
2025.01–至今，中國科學院地理科學與資源研究所，地理信息科學與技術全國重點實驗室 副研究員
2020.11–2024.12，中國科學院地理科學與資源研究所，資源與環境信息系統國家重點實驗室 副研究員
2016.07–2020.11，中國科學院地理科學與資源研究所，資源與環境信息系統國家重點實驗室 助理研究員
科研項目：
1.中國科學院搶占科技制高點攻堅專項專題, ***, *鹽堿地**, 01/2024-12/2026, 在研，主持
2.科技部國家重點研發計劃項目子課題, 2023YFD1900104, 華北集約化區中低產田土壤障礙因子時空預測技術研究, 12/2023-12/2027, 在研, 主持
3.中國科學院先導專項B子課題, XDB0740303, 區域地緣合作與博弈決策支持，12/2023-11/2028, 在研, 主持
4.科技部國家重點研發計劃項目子課題，2023YFD1900301, 堿性鈣質土旱作中低產田土壤有機質和產能空間分布與演變規律研究, 07/2023-12/2026, 在研, 主持
5.國家自然科學基金重大項目子課題, 41890854, 高強度擾動下大灣區海陸場景功能優化與綜合調控, 01/2019-12/2023, 結題, 主持
6.國家自然科學基金青年項目, 41801353, 集合四維變分同化葉面積指數和蒸散發的區域冬小麥產量估測，01/2019-12/2021, 結題, 主持
7.中國科學院戰略性先導科技專項（A類）專題,? XDA23050101, 海岸帶工農業格局及污染物入海防控解決方案, 01/2019-12/2023, 結題, 主持
8.科技部國家重點研發計劃項目專題, 2018YFC1903001, 基于物聯網的固體廢物收集收運管理模式優化與智能管理平臺, 12/2018-11/2022, 結題, 主持
9.國家科技基礎資源調查專項子課題, 2017FY100706, 廣東海岸帶紅樹林資源遙感監測與評估, 02/2017-02/2022, 結題, 主持
代表性論著：
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).
研究生招生與培養：
招生專業：地圖學與地理信息系統
招生方向：歡迎具有遙感、GIS、地理、作物模型、計算機等背景的相關專業考生報考
聯系方式：
通訊地址：北京市朝陽區大屯路甲11號 中國科學院地理科學與資源研究所
郵 ???編：100101
E-mail地址：lih@lreis.ac.cn
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