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基本信息Personal Information
性别 : 男
出生年月 : 1988-06-01
学历 : 博士研究生毕业
学位 : 理学博士学位
在职信息 : 在岗
所在单位 : 遥感科学系
入职时间 : 2017-07-01
学科 : 遥感科学与技术
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- [2]Wu, Zhiyuan.Kalman Assimilation Model for Retrieving Time-Series Chlorophyll Content Based on Multisource Remote Sensing Images.IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING.2025,63;;
- [3]Assessing annual carbon emissions and its peak year in the Yangtze river economic belt (2021-2035) through land use/land cover analysis.SUSTAINABLE CITIES AND SOCIETY.2025,127;;
- [4]The composite drought index incorporated solar-induced chlorophyll fluorescence enhances the monitoring capability of short-term drought.JOURNAL OF HYDROLOGY.2024,637;;
- [5]Peng C, Du L, Ren H, et al. Spatial Heterogeneity of Combined Factors Affecting Vegetation Greenness Change in the Yangtze River Economic Belt from 2000 to 2020[J]. Remote Sensing, 2023, 15(24): 5693.
- [6]Li X, Du L, Li X, et al. Effects of Human Activities on Urban Vegetation: Explorative Analysis of Spatial Characteristics and Potential Impact Factors[J]. Remote Sensing, 2022, 14(13): 2999.
- [7]L. Du, et al. Application of Hyperspectral LiDAR on 3-D Chlorophyll-Nitrogen Mapping of Rohdea Japonica in Laboratory，IEEE Journal of Selected Topics in Applied Earth Observation and Remote Sensing，2021，7
- [8]L. Du, et al. Leaf Biochemistry Parameters Estimation of Vegetation Using the Appropriate Inversion Strategy，Frontiers in Plant Science，2020，11.
- [9]L. Du, et al. Application of spectral indices on leaf nitrogen content analysis derived from Hyperspectral LiDAR data, Optics & Laser Technology, 2018, 107, 372-379.
- [10]L. Du, S. Shi , et al. Estimation of rice leaf nitrogen contents based on hyperspectral LIDAR. International Journal of Applied Earth Observation and Geoinformation, 2016, 44, 136-143.
- [11]L. Du, W. Gong, et al. Using Different Regression Methods to Estimate Leaf Nitrogen Content in Rice by Fusing Hyperspectral LiDAR Data and Laser-Induced Chlorophyll Fluorescence Data. Remote Sensing, 2016, 8(6), 526.
- [12]L. Du, S. Shi , et al. Potential of spectral ratio indices derived from hyperspectral LiDAR and laser-induced chlorophyll fluorescence spectra on estimating rice leaf nitrogen contents. Optics Express, 2017, 25(6), 6539-6549 .
- [13]Yang, J., L. Du et al. Estimating the leaf nitrogen content of paddy rice by using the combined reflectance and laser-induced fluorescence spectra. Opt. Express, 2016, 24, p. 19354-19365.
- [14]Yang, J., Gong, W., Shi, S., Du, L. et al. Analyzing the performance of fluorescence parameters in the monitoring of leaf nitrogen content of paddy rice. Scientific Reports, 2016, 6.
- [15]Jian Yang, Wei Gong, Shuo Shi, L. Du, Bo Zhu, Jia Sun, and Shalei Song. Excitation Wavelength Analysis of Laser-Induced Fluorescence LiDAR for Identifying Plant Species. IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 2016,13(7),977-981.