Publications:

23. 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, [in preparation]

22. Wang, X.F., Zheng, G., Distinct spatio-temporal patterns of sunlit and shaded components of forest canopy using aerail laser scanning data. [in preparation]

21. Yun, Z. X., Zheng, G., Assessing the effects of forest background on leaf area index estimation by combining lidar and optical remotely sensed data.[in preparation]

20. Wang, X. F., Zheng, G. Quantitatively characterizing the tree spatial dsitribution patterns usign the discrete aerial laser scaning. 2017 [in review].

19. Ma, L.X., Zheng, G. Separating the sunlit and shaded forest canopy components from three dimensional point cloud data. 2017 [in preparation].

18. Ma, L.X., Zheng, G. Retrieving forest canopy clumping index using terrestrial laser scanning. 2017 [in revision].

 

 

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17. 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.

 

16.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.

 

15. 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.

 

14.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.

 

13. 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.

 

12.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.

 

11.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.

 

10. 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.

 

9.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.

 

8. 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.

 

7. 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.

 

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.

 

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.

 

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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(实质审查中) 申请号: 201510655584.0

 

4. 一种利用航空激光点云计算有效叶面积指数的方法 (实质审查中) 申请号: 20151065585.5

 

3.一种基于模式识别的森林三维点云分类方法(已授权) 专利号:ZL 2013 1 0283752.9

 

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) 专利号:ZL 2013 1 0228261.4

 

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) 专利号:ZL 2012 1 0260635.6

 

软件著作权:

 

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