个人简历

Dr. Guang Zheng is an Associate Professor of Remote Sensing at the International Institute for Earth System Science (ESSI) of Nanjing University (NJU). His researches focus on: (1) characterizing three dimensional (3-D) forest canopy structure using the point cloud data generated from various platforms such as Aerial Laser Scanning (ALS), Mobile Laser Scanning (MLS), Terrestrial Laser Scanning (TLS) and UAV-based laser scanning (ULS) data; (2) investigating the interactions and relationships between forest canopy structure, radiation regime, and physiological processes; and (3) monitoring and updating forest aboveground biomass (AGB) by combining multi-source remotely sensed data and process-based ecological model. He got the Ph.D degree from the Remote Sensing and Geospatial Analysis Laboratory (RSGAL) at University of Washington (UW), and worked closely with Precision Forestry Cooperative (PFC) directed by Dr. L. Monika Moskal to understand the forest canopy structure and its implications and interactions with radiation regime and physiological processes of terrestrial ecosystem.
申请中发明专利：
6. 一种利用三维点云数据定量刻画森林聚集效应的方法 (已提交） 郑光、马利霞 、居为民、王晓菲、路璐、云增鑫。申请号： 201710090033691
授权发明专利：
5. 一种基于点云半球切片估算森林叶面积指数的方法（已授权) 郑光 、马利霞、何维、卢晓曼 、张乾、路璐 。专利号：ZL 201510655584.0 授权时间：2018.06.04
4. 一种利用航空激光点云计算有效叶面积指数的方法 (已授权) 郑光 、马利霞、何维、卢晓曼 、张乾、路璐 。专利号：ZL 201510655585.5 授权时间：2017.12. 07
3.一种基于模式识别的森林三维点云分类方法 (已授权) 李艳、马利霞、郑光、居为民。专利号：ZL 2013 1 0283752.9 授权时间：2016.12.28
2.一种基于小支持域正则化逆卷积的遥感影像恢复方法 (已授权) 李艳、郑光。 专利号：ZL 2013 1 0228261.4
授权时间：2015.08.26
1. 一种利用激光点云计算三维森林冠层消光系数的方法 (已授权) 郑光、张乾、冯永康 。专利号：ZL 2012 1 0260635.6 授权时间：2015.01.14
软件著作权：
3. 三维森林场景定量分析与可视化系统 【3-D FVAS] 登记号：2017R11L767404
2. 基于模式识别的森林点云数据自动分类系统 [FPCAC V 1.0] 登记号： 2014SR053518
1. 激光雷达提取植被冠层三维结构参数软件 [Toolkit for Terrestrial LiDAR] 登记号： 2011SR090822

研究领域

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近期论文

2021
49. Yun, Z.X.,Zheng,G. Stratifying forest overstory and understory for 3-D segmentation using terrestrial laser scanning data. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.2021(14):12114-12131.
48.Li,S.H., Mason, J.A.,Xu, Y,H.,Xu,C., Zheng,G., Li, J.C., Yizhaq, H., Pan, S.M., Lu,H.Y., Xu,Z.W. Biogeomorphology of nebkhas in the Mu Us dune filed, north-central China: Chronological and morphological results. Gemorphology.2021(394),107979.
47. Du, Z.H., Zheng,G.,Shen, G.C.,Moskal, L.M. Characterizing spatiotemporal distributions of forest canopy gaps for forest disturbances using multi-temporal aerial laser scanning data. International Journal of Applied Earth Observations and Geoinformation. 2021(104),102588
46. Wu, B.X., Zheng,G.,Chen, Y., Yu, D.S. Assessing inclination angles of tree branches from terrestrial laser scanning data using a skeleton extraction method. International Journal of Applied Earth Observations and Geoinformation.2021(104),102589.
45.Tian, S.H., Zheng,G., Eitel, J.H., Zhang, Q., Lidar-based 3-D Photosynthetically Active Radiation model reveals the spatiotemporal variations of forest sunlit and shaded leaves.Remote sensing, 2021,13(5):1002.
44. Ma L , Zheng,G., Ying Q., Handcok,S., Ju,W.M., Yu,D.S. Characterizing the three-dimensional spatiotemporal variation of forest photosynthetically active radiation using terrestrial laser scanning data. Agricultural and Forest Meteorology, 2021,301-302:108346.
**2020
43.Xu, Z.S. Zheng, G., Moskal, L.M. Stratifying forest overstory for improving effective LAI estimation based on aerial imagery and discrete laser scanning data.Remote sensing,2020,12(13):2126
42. Wu, B.X., Zheng, G., Ju, W.M. The local median filtering method for correcting the laser return intensity informaiton from discrete airborne laser scanning data. Remote sensing,, 2020.12,1681.
41. Jiang, M., Lin, Y., Chan, T.O. Yao, Y., Zheng, G., Luo, S., Zhang, L., Liu, D. Geologic factors leadingly drawing the macroecological pattern of rocky desertification in southwest China.Scientific Report, 10,1440 (2020).
40. Diao, J., Feng, T., Li, M.,Zhu, Z., Liu, J., Biging, G., Zheng, G., Shen, W., Wang, H., Wang, J., Ji, B. Use of vegetation change tracker, spatial analysis, and random forest regression to assess the evolution of plantation stand age in Southeast China. Annals of Forest Science,77,27 (2020).
39. Wang, X.; Zheng, G.; Yun, Z.; Xu, Z.S., Moskal, L.M., Tian, Q.J. Characterizing the spatial variations of forest sunlit and shaded components using discrete aerial lidar. Remote sensing,2020,12,1071.
38. Wu, B.; Zheng, G.; Chen, Y. An Improved Convolution Neural Network-Based Model for Classifying Foliage and Woody Components from Terrestrial Laser Scanning Data. Remote sensing,2020,12,1010.
37. Wang, X.; Zheng, G.; Yun, Z.; Moskal, L.M. Characterizing Tree Spatial Distribution Patterns Using Discrete Aerial Lidar Data.Remote sensing,2020,12,712.
**2019
36. Changqiao Hong, Xiaobin Jin, Yeting Fan, Xiaomin Xiang, Shuai Cao, Changchun Chen,Guang Zheng, Yinkang Zhou. Determining the effect of land consolidation on agricultural production using a novel assessment framework. Land Degradation & Development, 2020, 31(3).
35. 云增鑫, 郑光, 马利霞, 王晓菲, 卢晓曼, 路璐. (2019). 联合主被动遥感数据定量评价林下植被对叶面积指数估算的影响.遥感技术与应用(3).
34. Zeng, K.; Zheng, G.; Ma, L.; Ju, W.; Pang, Y. Modelling Three-Dimensional Spatiotemporal Distributions of Forest Photosynthetically Active Radiation Using UAV-Based Lidar Data. Remote Sens. 2019,11, 2806.
33. Zhu, F., Shen, W., Diao, J., Li, M., Zheng, G. Integrating cross-sensor high spatial resolution satellite images to detect subtle forest vegetation change in the Purple Mountains, a national scenic spot in Nanjing, China. Journal of Forestry Research. Journal of Forestry Research, 2019(5).
*2018
32. Xinlian Liang, Juha Hyyppä, Harri Kaartinen, Matti Lehtomäki, Jiri Pyörälä, Xiaowei Yu, Norbert Pfeifer, Hopkinson Cristopher, Pirotti Francesco, Brolly Gábor, Jan Heckenberg, Huabing Huang, Hyun-Woo Jo, Masato Katoh, Luxia Liu, Martin Mokroš, Jules Morel, Kenneth Olofsson, Jose Poveda-Lopez, Jan Trochta, Di Wang, Jinbu Wang, Bisheng Yang, Guang Zheng, Yunsheng Wang. International benchmarking of terrestrial laser scanning approaches for forest inventories, ISPRS Journal of Photogrammetry and Remote Sensing, 2018 144（137 - 179）.
31.路璐，郑光，马利霞. 激光雷达和点云切片算法结合的森林有效叶面积指数估算. 2018. 遥感学报 22(3):432 - 449.
30. Ma, L.X., Zheng, G.Shiming Li, Yi, Lin, Weimin Ju. Retrieving forest canopy clumping index using terrestrial laser scanning data. 2018. Remote Sensing of Environment 210(2018) 452-472.
*2017
29.卢晓曼，郑光，居为民，戴声佩，高伦. 森林背景反射率对乔木层地上生物量遥感估算的影响研究——以大兴安岭林区为例. 林业资源 管理，2017.1.18： 59- 68.
28. Lu, X.; Zheng, G; Miller, C.; Alvarado, E. Combining Multi-Source Remotely Sensed Data and a Process-Based Model for Forest Aboveground Biomass Updating. Sensors 2017, 17(9), 2062.
27.Ma, L.X., Zheng, G., Eitel, Jan U.H., Magney, T.S., Moskal, L.M. Retrieving forest canopy extinction coefficient from terrestrial and airborne lidar. Agricultural and Forest Meteorology, 236(2017)1-21.
26.Zheng, G. Ma, L.X., Eitel, J.U.H., He, W., Magney, T.S., Moskal, L.M., Li, M.S. Retrieving directional gap fraction, extinction coefficient, and effective leaf area index by incorporating scan angle information from discrete aerial laser scanning (ALS) data. IEEE Transactions on Geoscience and Remote Sensing. 2017. IEEE Transactions on Geoscience and Remote Sensing. 55(1) 577-590.
*2016
25.Geng, J., Chen, J.M., Tu, L.L., Tian, Q.J., Wang, L., Yang, R.R., Yang, Y.J., Huang, Y., Fan, W.L., Lv, C.G., Zheng, G., Influence of the exclusion distance among trees on gap fraction and foliage clumping index of forest plantations. Trees - Structures and Function. 2016 30(5): 1683 - 1693.
24.Eitel, J.U.H., Magney, T.S., Vierling, L.A., Greaves, H., Zheng, G. An automated method to quantify crop height and calibrate satellite-derived biomass using hypertemporal lidar. Remote Sensing of Environment. 187, 414-422, 15 December, 2016.
23. Li, Y.M., Guo, Q.H., Tao,S.L., Zheng, G., Zhao, K.G., Xue, B.L., Su, Y.J. Derivation, validation, and sensitivity analysis of terrestrial laser scanning-based leaf area index. Canadian Journal of Remote Sensing, 2016. 42(6) 719-729.
22.Ma, L. X. Zheng, G., Magney, T.S., Eitel, J. U. H.,Moskal, L. M. Determining woody-to-total area ratio using terrestrial laser scanning data. Agricultural and Forest Meteorology.228-229(2016), 217-228.
21.Magney, T.S., Eitel, J. U. H., Griffin K.L., Boelman N. T., Creaves, H., Prager, C. M., Logan, B. A. Zheng, G., Ma, L.X., Fortin, E.A., Oliver, R.Y., Vierling, L.A. LiDAR canopy radiation model reveals patterns of photosynthetic partitioning in an arctic shrub. Agricultural and Forest Meteorology. 221(2016), 76-93.
20. Kong, F.H. Yan, W.J.Zheng, G., Yin, H.W., Cavan, Gina, Zhan, W. F., Zhang, N., Cheng, L. Retrieval of three-dimensional tree canopy and shade using terrestrial laser scanning (TLS) data to analyze the cooling effect of vegetation. Agricultural and Forest Meteorology. 217(2016), 22-34.
19.Zheng, G., Ma, L.X., He, W., Eitel, J.U.H., Moskal, L.M., Zhang, Z.Y. Assessing the contribution of woody materials to forest angular gap fraction and effective leaf area index using terrestrial laser scanning (TLS) data. IEEE Transactions on Geoscience and Remote Sensing. 2016 54(3) 1475-1487.
18. Ma, L.X., Zheng, G., Eitel, J.U.H., Moskal, L.M., He, W., Huang, H. B. Improved salient feature-based approach for automatically separating photosynthetic and nonphotosynthetic components within terrestrial lidar point cloud data of forest canopies. IEEE Transactions on Geoscience and Remote Sensing.2016, 54(2) 679-696.
*2015
17. Zhang, C.H., Ju, W.M., Chen, J.M., Wang, X., Yang, L., Zheng, G., Disturbance-induced reduction of biomass carbon sinks of China’s forests in recent years. Environmental Research Letters 10 (11), 114021
16. 马利霞，郑光，何维，居为民，程亮. 叶方向3维空间分布的地面激光雷达反演与分析, 遥感学报， 2015， 5（4）：609 - 617.
15. 王璟睿，沈文娟，李卫正，李明诗，郑光. 基于RapidEye的人工林生物量遥感反演模型性能对比. 西北林学院学报.2015 (6): 196 - 202.
*2014
14. 刘鲁霞，庞勇，李增元，徐光彩，李丹，郑光. 用地基激光雷达提取单木结构参数——以白皮松为例. 遥感学报. 2014(2): 365 - 377.
*2013
13. 李登秋，居为民，郑光，柳艺博，昝梅，张春华，黄金龙. 基于生态过程模型和森林清查数据的森林生长量估算对比研究. 生态环境学报, 10期2013(10): 1647-1657.
12. 刘洋，刘荣高，陈镜明，程晓，郑光. 叶面积指数遥感反演研究进展与展望. 地球信息科学学报, 2013(5): 734-743
11. 黄金龙，居为民，郑光，康婷婷. 基于高分辨率遥感影像的森林地上生物量估算. 生态学报。. 2013. (20): 6497 - 6508.
10. Zheng, G., Moskal, L.M., Kim, S.H. Retrieval of effective leaf area index in heterogeneous forests with a terrestrial laser scanner. 2013. IEEE Transactions on Geoscience and Remote Sensing. 51(2) 777-786.
9. Lu, Y.C., Li, X., Tian, Q. J.,Zheng, G., Sun, S. J., Liu, Y. X., Yang, Q. Progress in marine oil spill optical remote sensing: detected targets, spectral response characteristics, and theories. 2013. Marine Geodesy, 36 (3), 334-346
8. Lu, Y.C., Tian, Q.J., Wang X., Zheng, G., Li, X., Determining oil slick thickness using hyperspectral remote sensing in the Bohai Sea of China. 2013. International Journal of Digital Earth 6 (1), 76-93
7. Lu, Y.C., Zheng, G., Tian, Q.J., Lyu, C.G., Sun, S.J., Analyzing the effects of particle size on remotely sensed spectra: a study on optical properties and spectral similarity scale of suspended particulate matters in water. Applied optics 52 (4), 879-888
*2012
6. Zheng, G. and Moskal, L. M. Computational geometry based retrieval of effective leaf area index using terrestrial laser scanning. 2012. IEEE Transactions on Geoscience and Remote Sensing, 50(10), 3958-3969.
5. Zheng, G. and Moskal, L. M. Leaf orientation retrieval from terrestrial laser scanning. 2012, IEEE Transactions on Geoscience and Remote Sensing, 50(10), 3970-3979.
4. Zheng, G. and Moskal, L.M., Spatial variability of terrestrial laser scanner based leaf area index. International Journal of Applied Observation and Geoinformation. 2012(19), 26-237.
3. Moskal, L.M and Zheng, G. Retrieving forest inventory variables with terrestrial laser scanning in urban heterogeneous forest. 2012，Remote Sensing, 4, 1-20.
*before 2011
2. Zheng, G. and Moskal, L. M. Retrieving Leaf Area Index (LAI) Using Remote Sensing: Theories, Methods and Sensors. 2009，Sensors，9 (4):2719-2745.
1. Zheng, G., Chen, J.M., Tian, Q.J., Ju, W.M., Xia, X.Q. Combining remote sensing imagery and forest age inventory for biomass mapping. 2007, Journal of Environmental Management, 85(3) pp: 616-623.