基本介紹
- 中文名：楊健
- 學位/學歷：博士
- 職稱：副教授
- 籍貫：湖南邵陽
楊健，男，湖南邵陽人，副教授，博士，碩士生導師
畢業於武漢大學測繪遙感信息工程國家重點實驗室，攝影測量與遙感專業，工學博士學位。目前主要從事螢光雷射雷達（Fluorescence Lidar）和多/高光譜雷射雷達（Multispectral Lidar）等硬體研製，以及農作物生化含量、營養脅迫等遙感監測套用研究。主持國家自然科學青年基金1項，重點研發計畫子課題1項，湖北省自科基金1項，重點實驗室開放基金1項，高校基金1項，並參與多項國家級項目。目前發表學術論文40餘篇，並擔任Remote Sensing of Environment，Optics Express，IEEE Geoscience and Remote Sensing Letters，Applied Optics，American Society of Agricultural and Biological Engineers，Remote Sensing Letter等期刊的審稿人。
研究方向
螢光雷射雷達（Fluorescence Lidar）、多/高光譜雷射雷達（Multispectral Lidar）等硬體研製
農作物生化含量、營養脅迫等遙感監測套用研究。
科研項目
1. 主持國家自然科學青年基金：螢光雷射雷達水稻氮脅迫定量遙感監測研究，2019.01-2021.12
2. 主持國家重點研發計畫子課題：高光譜雷射雷達理論體系建立，2018.05-2022.06
3. 主持湖北省自科基金：螢光雷射雷達對農作物生化參數定量遙感監測基礎研究，2018.01-2019.12
4. 主持重點實驗室開放基金：基於螢光雷射雷達對農作物營養脅迫的定量遙感檢測研究，2018.01-2019.12
5. 主持中國地質大學（武漢）中央高校基本科研業務費專項資助：雷射誘導螢光對植被生長狀態的定量監測基礎研究，2017-2019
6. 參與國家自然科學基金國際(地區)合作與交流項目：新型對地觀測多光譜雷射雷達發展關鍵技術研究，2016/04-2018/03
7. 參與國家自然科學青年基金：時間分辨螢光雷射雷達植被遙感監測關鍵技術方法研究，2017/01-2019/12
學術論文
1、Yang, Jian, Cheng, Y., Du, L., Gong, W., Shi, S., Sun, J., & Chen, B. Analyzing the effect of the incidence angle on chlorophyll fluorescence intensity based on laser-induced fluorescence lidar. Optics express, 2019, 27(9): 12541-12550.
2、Yang, Jian, Cheng, Y., Du, L., Gong, W., Shi, S., Sun, J., & Chen, B. Selection of the optimal bands of first-derivative fluorescence characteristics for leaf nitrogen concentration estimation. Applied Optics, 2019, 58(21), 5720-5727.
3、Yang, Jian, Du, L., Shi, S., Gong, W., Sun, J., & Chen, B. Potential of Fluorescence Index Derived from the Slope Characteristics of Laser-Induced Chlorophyll Fluorescence Spectrum for Rice Leaf Nitrogen Concentration Estimation. Applied Sciences, 2019, 9(5), 916.
4、Yang, Jian, Du, L., Gong, W., Shi, S., Sun, J., & Chen, B. Analyzing the performance of the first-derivative fluorescence spectrum for estimating leaf nitrogen concentration. Optics express, 2019, 27(4), 3978-3990.
5、Yang Jian, Du Lin, Gong Wei, et al. Potential of vegetation indices combined with laser-induced fluorescence parameters for monitoring leaf nitrogen content in paddy rice[J]. Plos One, 2018, 13(1): e0191068.
6、Sun Jia, Shi Shuo*, Yang Jian*, et al. Analyzing the performance of PROSPECT model inversion based on different spectral information for leaf biochemical properties retrieval[J]. ISPRS Journal of Photogrammetry & Remote Sensing, 2018, 135:74-83.
7、Yang Jian, Shi Shuo, Gong Wei, et al. The characterization of plant species using first-derivative fluorescence spectra. Luminescence, 2017. 32: 348–352
8、Jian Yang, Sun Jia, Gong Wei, et al. Monitoring of paddy rice variety based on the combination of the laser-induced fluorescence and multivariate analysis. Food Analytical Methods, 2017, 10:2398–2403 DOI: 10.1007/s12161-017-0809-2
9、Jian Yang, Sun Jia, Shi Shuo et al. Effect of fluorescence characteristics and different algorithms on the estimation of leaf nitrogen content based on laser-induced fluorescence lidar in paddy rice. Optics Express, 2017, 25(4): 3743-3755.
10、Yang Jian, Du Lin, Gong Wei, Sun Jia, et al. Application of the chlorophyll fluorescence ratio in evaluation of paddy rice nitrogen status. Plant Soil & Environment, 2017, 63(9): 396-401.
11、Jia Sun, Jian Yang*, Shuo Shi*, Biwu Chen, Lin Du, Wei Gong, and Shalei Song. Estimating Rice Leaf Nitrogen Concentration: Influence of Regression Algorithms Based on Passive and Active Leaf Reflectance. Remote Sensing. 2017, 9(9), 951; doi:10.3390/rs9090951
12、Wei Gong, Yang Jian*, Shi Shuo, et al. The application of time decay characteristics of laser-induced fluorescence in the classification of vegetation. Luminescence, 2017, 32: 17-21
13、Yang Jian, Gong Wei, Shi Shuo, et al. Analyzing the performance of fluorescence parameters in the monitoring of leaf nitrogen content of paddy rice. Scientific Reports, 2016, 6, DOI:10.1038/srep28787.
14、Yang Jian, Du Lin, Sun Jia, et al. Estimating the leaf nitrogen content of paddy rice by using the combined reflectance and laser-induced fluorescence spectra. Optics Express, 2016, 24(17):19354-19365.
15、Yang Jian, Gong Wei, Shi Shuo, et al. Estimation of nitrogen content based on fluorescence spectrum and principal component analysis in paddy rice. Plant Soil & Environment, 2016, 62(4): 178-183.
16、Yang Jian, Gong Wei, Shi Shuo, et al. Excitation wavelength analysis of laser-induced fluorescence LiDAR for identifying plant species. IEEE Geoscience & Remote Sensing Letters, 2016, 13(7): 977-981.
17、Yang Jian, Gong Wei, Shi Shuo, et al. Laser-Induced fluorescence characteristics of vegetation by a new excitation wavelength. Spectroscopy Letters, 2016, 49(4): 263-267.
18、Yang Jian, Shi Shuo, Gong Wei, et al. Laser induced fluorescence spectrum characteristics of paddy under nitrogen stress. Spectroscopy and Spectral Analysis, 2016, 36(2):537-540.
19、Yang Jian, Gong Wei, Shi Shuo, et al. The effect of chlorophyll concentration of paddy rice on the fluorescence spectrum. Spectroscopy and Spectral Analysis, 2016, 36(10): 3410-3413.
20、Yang Jian, Gong Wei, Shi Shuo, et al. Accurate identification of nitrogen fertilizer application of paddy rice using laser-induced fluorescence combined with support vector machine. Plant Soil & Environment, 2015, 61(11):501-506.
21、Yang Jian, Gong Wei, Shi Shuo, et al. Vegetation identification based on characteristics of fluorescence spectral spatial distribution. RSC Advances, 2015, 5(70):56932-56935.
22、Yang Jian, Shi Shuo, Gong Wei, et al. Application of fluorescence spectrum to precisely inverse paddy rice nitrogen content. Plant Soil & Environment, 2015, 61(4):182-188.
23、張寅超, 楊健, 陳和, 陳思穎, 郭磐, & 劉立娜. 氣溶膠粒子的吸收對散射光強的影響. 北京理工大學學報, (2015). 35(6), 612-615.
24、Du Lin, Shi Shuo, Yang Jian, 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, DOI: 10.3390/rs8060526.
25、Du Lin, Shi Shuo, Yang Jian, 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
26、Du Lin, Gong Wei, Shi Shuo, Yang Jian, et al. Estimation of rice leaf nitrogen contents based on hyperspectral LIDAR. International Journal of Applied Earth Observation & Geoinformation, 2016, 44:136-143.
27、Gong Wei, Sun Jia, Shi Shuo, Yang Jian, et al. Investigating the Potential of Using the Spatial and Spectral Information of Multispectral LiDAR for Object Classification. Sensors, 2014, 15(9):21989-22002.
28、Jia Sun, Gong Wei, Shi Shuo, Jian Yang, et al. Evaluation of hyperspectral LiDAR for monitoring rice leaf nitrogen by comparison with multispectral LiDAR and passive spectrometer. Scientific Reports, 2017, 1, DOI: 10.1038/srep40362.
29、Du Lin, Shi Shuo, Gong Wei, Jian Yang, et al. Wavelength Selection of Hyperspectral LIDAR Based on Feature Weighting for Estimation of Leaf Nitrogen Content in Rice[J]. ISPRS-International Archives of the Photogrammetry Remote Sensing & S, 2016, XLI-B1:9-13.
30、Ma Ying-ying, Gong Wei, Wang Lun-che, Zhang Ming, Chen Zhong-yong, Li, Jun, Jian Yang. Inversion of the haze aerosol sky columnar AVSD in central china by combining multiple ground observation equipment. Optics Express, 2016, 24(8):8170-8185.
31、Chen Biwu, Shi Shuo, Gong Wei, Zhang Qingjun, Yang, Jian, et al. Multispectral lidar point cloud classification: a two-step approach. Remote Sensing, 2017, 9(4), 373.
