Assistant Research Professors
Li He
Source： | Date：2016-10-10 | 【Print】 【Close】
Name: Li He
Current Appointment:
Assistant Professor, State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences
Education:
？From September 2013 to June 2016: Studied for Doctoral degree in Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences
？From September 2009 to June 2012: Studied for Master’s degree in School of Earth Sciences and Engineering, Hohai University
？From September 2005 to June 2009: Studied for Bachelor degree in College of Resource and Environment Sciences, Xinjiang University
Professional Experience
Since July 2016: Has been working as a leading professor at State Key Laboratory of Resources and Environment Information System, Institute of Geographical Sciences and Natural Resources Research, Chinese Academy of Sciences.
Areas of Specialization:
His interests are agricultural remote sensing, uncertainty of remote sensing data assimilation, and coastal ecosystem simulation.
Representative Publications:
1.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.
2.Li, H., Chen, Z., Jiang, Z., Wu, W., Ren, J., LIU, B., & Tuya, H. 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.
3.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.
4.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).
5.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).
6.Li, H., Chen, Z. X., Wu, W. B., Jiang, Z. W., Liu, B., & Hasi, T. 2015. Crop Model Data Assimilation with Particle Filter for Yield Prediction Using Leaf Area Index of Different Temporal Scales, International Conference on Agro-Geoinformatics. NEW YORK: IEEE.
7.Huang, C., Zhang, C., He, Y., Liu, Q., Li, H.*, Su, F., Liu, G., & Bridhikitti, A. 2020. Land Cover Mapping in Cloud-Prone Tropical Areas Using Sentinel-2 Data: Integrating Spectral Features with Ndvi Temporal Dynamics. Remote Sensing, 12(7): 1163.
8.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.
9. Xia, Q., Qin, C-Z., Li, H., Huang, C., Su, F-Z., Jia, M-M. Evaluation of submerged mangrove recognition index using multi-tidal remote sensing data. Ecological Indicators, 2020, 113, 106196.
10.Lu, M., Li, F., Zhan, B., Li, H., Yang, X., Lu, X., and Xiao, H. 2020. An Improved Cloud Detection Method for GF-4 Imagery. Remote Sensing, 12 (1525).
11.Wu, S., Yang, P., Ren, J., Chen, Z., Liu, C., and 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.
12.Yu, B., Liu, G., Liu, Q., Huang, C., Li, H. 2019. Seasonal variation of deep soil moisture under different land uses on the semi-arid Loess Plateau of China. Journal of Soil and Sediments, 19(3):1179-1189.
13.Yu, B., Liu, G., Liu, Q., Huang, C., Li, H. 2019. Effects of topographic domain and land use on spatial variability of deep soil moisture in the semi-arid Loess Plateau of China. Hydrology Research, 50(5):1281-1292.
14. 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.
15. 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.
16. 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.
17. 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.
18. 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.
19. 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.
20. Wu, S., Ren, J., Chen, Z., Jin, W., Liu, X., 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.
21. 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.
22. Zhao, Z., Liu, Q., Liu, G., Huang, C., Li, H., Wu, C. 2018. Distribution Characteristics and Seasonal Variation of Soil Nutrients in the Mun River Basin, Thailand. International Journal of Environmental Research and Public Health, 15(9):1818.
23. Zhao, Z., Liu, Q., Liu, G., Huang, C., Li, H. 2018. Studies on the Spatiotemporal Variability of River Water Quality and Its Relationships with Soil and Precipitation: A Case Study of the Mun River Basin in Thailand. International Journal of Environmental Research and Public Health, 15(11):2466.
Major Research Projects:
(1) 2019-2021, ‘The simulation and estimation of regional winter wheat yield based on the ensemble-based four-dimension variational assimilation of leaf area index and evapotranpiration’, a project funded by National Natural Science Foundation of China.
(2) 2017-2021, ‘Monitoring and assessment of mangrove forests in Guangdong Province based on satellite imagery’, a project founded by the Science and Technology Basic Resources Investigation Program of China
Office Address:
IGSNRR
11A Da Tun Road
An Wai, Beijing 100101
People’s Republic of China
Telephone: 86-10-6488-9042
Email: lih@lreis.ac.cn
