个人简历

男，湖南邵阳人。2017年6月毕业于武汉大学测绘遥感信息工程国家重点实验室，摄影测量与遥感专业，工学博士学位。目前主要从事荧光激光雷达（Fluorescence Lidar）和多/高光谱激光雷达（Multispectral Lidar）等硬件研制，以及农作物生化含量、营养胁迫等遥感监测应用研究。主持国家自然科学青年基金1项，重点研发计划子课题1项，湖北省自科基金1项，重点实验室开放基金1项，高校基金1项，并参与多项国家级项目。目前发表学术论文40余篇，并担任Remote Sensing of Environment，Optics Express，IEEE Geoscience and Remote Sensing Letters，Applied Optics，American Society of Agricultural and Biological Engineers，Remote Sensing Letter等期刊的审稿人。
曾获荣誉 :
2016年获武汉大学“学术创新”一等奖；
2016年获武汉大学测绘遥感信息工程国家重点实验室科技创新奖；
2016年获武汉大学“优秀研究生”；
2015年度 获武汉大学“博士研究生国家奖学金”；
2015年获武汉大学“优秀研究生”；

学术主页
Researchgate主页：https://www.researchgate.net/profile/Jian_Yang64

研究意义
针对现有单波长激光雷达与多光谱相机相结合，进行航空测绘遥感时的配准困难、相应工作量较大的现状，采用多波长发射/多通道接收的多光谱地物探测激光雷达，从机理上实现几何/光谱信号的同时配准接收。此外，荧光激光雷达的提出，可以在只有一个波长的情况下，同时获取目标的三维空间信息和目标内部属性的整个光谱信息。通过攻关，实现了相关样机的成功研制，并获得了植被的荧光扫描图像，即只用一个激发波长既能获得其平面空间信息，同时也能获得丰富的光谱信息。我们目前将其应用于水稻营养胁迫的定量监测上，展现了很好的检测区分能力。

科研项目
1. 主持国家自然科学青年基金：荧光激光雷达水稻氮胁迫定量遥感监测研究，2019.01-2021.12
2. 主持国家重点研发计划子课题：高光谱激光雷达理论体系建立，2018.05-2022.06
3. 主持湖北省自科基金：荧光激光雷达对农作物生化参数定量遥感监测基础研究，2018.01-2019.12
4. 主持重点实验室开放基金：基于荧光激光雷达对农作物营养胁迫的定量遥感检测研究，2018.01-2019.12
5. 主持中国地质大学（武汉）中央高校基本科研业务费专项资助：激光诱导荧光对植被生长状态的定量监测基础研究，2017-2019
6. 参与国家自然科学基金国际(地区)合作与交流项目：新型对地观测多光谱激光雷达发展关键技术研究，2016/04-2018/03
7. 参与国家自然科学青年基金：时间分辨荧光激光雷达植被遥感监测关键技术方法研究，2017/01-2019/12

工作经历
[1] 2017.7 -- 至今 中国地质大学（武汉） 信息工程学院

研究领域

荧光激光雷达（Fluorescence Lidar）、多/高光谱激光雷达（Multispectral Lidar）等硬件研制 农作物生化含量、营养胁迫等遥感监测应用研究""

近期论文

学术论文
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、张寅超, 杨健, 陈和, 陈思颖, 郭磐, & 刘立娜. 气溶胶粒子的吸收对散射光强的影响. 北京理工大学学报, (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.

会议论文：
1、Yang Jian, Gong W, Shi S, et al. The Effective of Different Excitation Wavelengths on the Identification of Plant Species Based on Fluorescence LIDAR. ISPRS 2016, XLI-B1:147-150.
2、Du L, Shi S, Gong W, Jian Yang, et al. Wavelength Selection of Hyperspectral LIDAR Based on Feature Weighting for Estimation of Leaf Nitrogen Content in Rice. ISPRS-International Archives of the Photogrammetry Remote Sensing & S, 2016, XLI-B1:9-13.
3、Yang Jian, Chen H, Zhang Y, et al. Study on the extinction coefficient of spherical aerosol particles. Proceedings of SPIE-The International Society for Optical Engineering, 2013, 8905:610-614.