Prof. Qinghua Guo, Professor, Institute of Botany, Chinese Academic of Science


Address: No.20 Nanxin Village, XiangshanHaidian District, Beijing, 100093

Research Interests

Professor Guo’s research includes the methodology and application of remote sensing and geographical information science. Research interests mainly focus on the extraction and retrieval of 3D structure and functional parameter of vegetation based on LiDAR and its fusion with multi-source remote sensing data, including:

(1) Software and hardware developments of LiDAR and its application in agroforest and urban ecosystems;

(2) Integrated system of hardware and software for high-throughput crop phenotyping;

(3) Species distribution model algorithm (geographic one-class data) and its application in simulating biodiversity pattern;

(4) Multi-scale and multi-source remote sensing data fusion, computing and information release;

(5) Simulating and predicting the effect of climate change and land use change on structure and function of terrestrial ecosystem (such as carbon cycling, biodiversity etc.) at reginal and global scale, through combination of multi-source remote sensing data and ecological model. 


Ph.D. 2005. Department of Environmental Science, Policy and Management, UC-Berkeley
M.S. 1999. Institute of Remote Sensing and GIS, Peking University, China
B.S. 1996. Department of Urban and Environmental Science, Peking University, China


Work Experience

2012 – present    Professor, Institute of Botany, Chinese Academy of Science

2015 – present    Professor, University of Chinese Academy of Sciences

2005 – present    Assistant professor, Associate professor, Professor, Adjunctprofessor, Founding Faculty, University of California at Merced


Guo Qinghua, Su Yanjun, Hu Tianyu, Liu Jin. 2018. LiDAR Principles, Processing and Applications in Forest Ecology. Beijing: Higher Education Press. 334 pages. (In Chinese).


Publications in English

1.     Su Yanjun, Guo Qinghua*, Hu Tianyu, Guan Hongcan, Jin Shichao, An Shazhou, Chen Xuelin, Guo Ke, Hao Zhanqing, Hu Yuanman, Huang Yongmei, Jiang Mingxi, Li Zhenji, Li Xiankun, Liang Cunzhu, Liu Renlin, Liu Qing, Ni Hongwei, Peng Shaolin, Shen Zehao, Tang Zhiyao, Tian Xingjun, Wang Xihua, Wang Renqing, Xie Zongqiang, Xie Yingzhong, Xu Xiaoniu, Yang Xiaobo, Yang Yongchuan, Yu Lifei, Yue Ming, Zhang Feng, Ma Keping. An Updated Vegetation Map of China (1: 1000000). Science Bulletin. (in press)

2.     Su Yanjun, Hu Tianyu, Wang Yongcai, Li Yumei, Dai Jingyu, Liu Hongyan, Jin Shichao, Ma Qin, Wu Jin, Liu Lingli, Fang Jingyun, Guo Qinghua*. Large-Scale Geographical Variations and Climatic Controls on Crown Architecture Traits. Journal of Geophysical Research – Biogeosciences. (in press)

3.     Li Yaoqi, Reich Peter B., Schmid Bernhard, Shrestha Nawal, Feng Xiao, Lyu Tong, Maitner Brian S., Xu Xiaoting, Li Yichao, Zou Dongting, Tan Zheng-Hong, Su Xiangyan, Tang Zhiyao, Guo Qinghua, Feng Xiaojuan, Enquist Brian J., Wang Zhiheng. Leaf Size of Woody Dicots Predicts Ecosystem Primary Productivity. Ecology Letters. (in press).

4.     Guo Qinghua#*, Jin Shichao#, Li Min, Yang Qiuli, Xu Kexin, Ju Yuanzhen, Zhang Jing, Xuan Jing, Liu Jin, Su Yanjun, Xu Qiang, Liu Yu. Application of Deep Learning In Ecological Resource Research: Theories, Methods, And Challenges. Science China Earth Science. (in press)

5.     Li Yumei, Su Yanjun, Zhao Xiaoxia, Yang Mohan, Hu Tianyu, Zhang Jing, Liu Jin, Liu Min, Guo Qinghua. 2020. Retrieval of Tree Branch Architecture Attributes from Terrestria Llaser Scan Data Using A Laplacian Algorithm. Agricultural and Forest Meteorology. 284: 107874.

6.     Wang Dezhi, Wan Bo, Liu Jing, Su Yanjun, Guo Qinghua, Qiu Penghua, Wu Xincai. 2020. Estimating Aboveground Biomass of The Mangrove Forests on Northeast Hainan Island in China Using An Upscaling Method From Field Plots, UAV-LiDAR Data and Sentinel-2 Imagery. International Journal of Applied Earth Observation and Geoinformation. 85: 101986.

7.     Xu Kexin, Su Yanjun, Liu Jin, Hu Tianyu, Jin Shichao, Ma Qin, Zhai Qiuping, Wang Rui, Zhang Jing, Li Yumei, Liu Hongyan, Guo Qinghua*. 2020. Estimation of Degraded Grassland Aboveground Biomass Using Machine Learning Methods from Terrestrial Laser Scanning Data. Ecological Indicators. 108: 105747.

8.     Guan Hongcan, Su Yanjun, Hu Tianyu, Chen Jin, Guo Qinghua*. 2019. An Object-Based Strategy for Improving The Accuracy of Spatiotemporal Satellite Imagery Fusion for Vegetation Mapping Applications. Remote Sensing. 11(24): 2927.

9.     Yang Qiuli, Su Yanjun, Kelly Maggi, Hu, Tianyu, Ma Qin, Li Yumei, Song Shilin, Zhang Jing, Xu Guangcai, Wei Jianxin, Guo Qinghua*. 2019. The Influences of Vegetation Characteristics on Individual Tree Segmentation Methods with Airborne Lidar Data. Remote Sensing. 11: 2880.

10.  Guan Hongcan, Su Yanjun , Hu Tianyu, Wang Rui, Ma Qin, Yang Qiuli, Sun Xiliang, Li Yumei, Jin Shichao, Zhang Jing, Ma Qin, Guo Qinghua. 2019. A Novel Framework to Automatically Fuse Multi-platform Lidar Data in Forest Environments Based on Tree Locations. IEEE Transactions on Geoscience and Remote Sensing. 1-13. DOI: 10.1109/TGRS.2019.2953654

11.  Hu Tianyu, Ma Qin, Su Yanjun, Battles John J., Collins Brandon M., Stephens Scott L., Kelly Maggi, Guo Qinghua. 2019. A Simple and Integrated Approach for Fire Severity Assessment Using Bi-Temporal Airborne Lidar Data. International Journal of Applied Earth Observation and Geoinformation. 78: 25-38.

12.  Jin Shichao, Su yanjun, Gao Shang, Wu Fangfang, Ma Qin, Xu Kexin, Ma Qin, Hu Tianyu, Liu Jin, Pang Shuxin, Guan Hongcan, Zhang Jing, Guo Qinghua*. 2019. Separating The Structural Components of Maize for Field Phenotyping Using Terrestrial Lidar Data and Deep Convolutional Neural Networks. IEEE Transactions on Geoscience and Remote Sensing. 1-15. DOI: 10.1109/TGRS.2019.2953092

13.  Su Yanjun, Wu Fangfang, Ao Zurui, Jin Shichao, Qin Feng, Liu Boxin, Pang Shuxin, Liu Lingli, Guo Qinghua*. 2019. Evaluating Maize Phenotype Dynamics Under Drought Stress Using Terrestrial Lidar. Plant Methods. 15: 11.

14.  Sun Fei, Wang Run, Wan Bo, Su Yanjun, Guo Qinghua, Huang Youxin, Wu Xincai. 2019. Efficiency of Extreme Gradient Boosting for Imbalanced Land Cover Classification Using an Extended Margin and Disagreement Performance. ISPRS International Journal of Geo-Information. 8(7): 315.

15.  Zheng Zeshi, Ma Qin, Jin Shichao, Su Yanjun, Guo Qinghua, Bales Roger C. 2019. Canopy and Terrain Interactions Affecting Snowpack Spatial Patterns in the Sierra Nevada of California. Water Resources Research. 55: 8721–8739.

16.  Jin Shichao, Su Yanjun, Wu Fangfang, Pang Shuxin, Gao Shang, Hu Tianyu, Liu Jin, Guo Qinghua*. 2019. Stem-Leaf Segmentation and Phenotypic Trait Extraction of Individual Maize Using Terrestrial LiDAR Data. IEEE Transactions on Geoscience and Remote Sensing. 57(3): 1336-1346.

17.  Deng Xueqing, Li Wenkai, Liu Xiaoping, Guo Qinghua, Newsam Shawn. 2018. One-Class Remote Sensing Classification: One-Class vs. Binary Classifiers. International Journal of Remote Sensing. 39(6): 1890-1910.

18.  Guo Qinghua*, Wu Fangfang, Pang Shuxin, Zhao Xiaoqian, Chen Linhai, Liu Jing, Xue Baolin, Xu Guangcai, Li Le, Jing Haichun, Chu Chengcai. 2018. Crop3D—A Lidar Based Platform for 3D High-Throughput Crop Phenotyping. Science China Life Sciences. 61(3): 328-339.

19.  Jin Shichao, Su Yanjun*, Gao Shang, Wu Fangfang, Hu Tianyu, Liu Jin, Li Wenkai, Wang Dingchang, Chen Shaojiang, Jiang Yuanxi, Pang Shuxin, Guo Qinghua*. 2018. Deep Learning: Individual Maize Segmentation From Terrestrial Lidar Data Using Faster R-CNN and Regional Growth Algorithms. Front Plant Sci. 9: 866-875.

20.  Jin Shichao, Su Yanjun, Gao Shang, Hu Tianyu, Liu Jin, Guo Qinghua*. 2018. The Transferability of Random Forest in Canopy Height Estimation from Multi-Source Remote Sensing Data. Remote Sensing. 10(8): 1183.

21.  Li Wenkai, Guo Qinghua, Tao Shengli, Su Yanjun. 2018. VBRT: A Novel Voxel-Based Radiative Transfer Model for Heterogeneous Three-Dimensional Forest Scenes. Remote Sensing of Environment. 206: 318-335.

22.  Li Yumei, Su Yanjun*, Hu Tianyu, Xu Guangcai, Guo Qinghua*. 2018. Retrieving 2-D Leaf Angle Distributions for Deciduous Trees From Terrestrial Laser Scanner Data. IEEE Transactions on Geoscience and Remote Sensing. 56(8): 4945-4955.

23.  Liu Ran, Li Wenkai, Liu Xiaoping, Lu Xingcheng, Li T, Guo Qinghua. 2018. An Ensemble of Classifiers Based on Positive and Unlabeled Data in One-Class Remote Sensing Classification. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 11(2): 572-84.

24.  Luo Laiping, Zhai Qiuping, Su Yanjun, Ma Qin, Kelly Maggi, Guo Qinghua. 2018. Simple Method for Direct Crown Base Height Estimation of Individual Conifer Trees Using Airborne Lidar Data. Opt Express. 26(10): A562-A578.

25.  Ma Qin, Su Yanjun, Luo Laiping, Li Le, Kelly Maggi, Guo Qinghua. 2018. Evaluating The Uncertainty of Landsat-Derived Vegetation Indices in Quantifying Forest Fuel Treatments Using Bi-Temporal Lidar Data. Ecological Indicators. 95: 298-310.

26.  Wang Dezhi, Wan Bo, Qiu Penghua, Su Yanjun, Guo Qinghua, Wang Run, Sun Fei, Wu Xincai. 2018. Evaluating the Performance of Sentinel-2, Landsat 8 and Pleiades-1 in Mapping Mangrove Extent and Species. Remote Sensing. 10(9): 27.

27.  Wang Dezhi, Wan Bo, Qiu Penghua, Su Yanjun, Guo Qinghua, Wu Xincai. 2018. Artificial Mangrove Species Mapping Using Pléiades-1: An Evaluation of Pixel-Based and Object-Based Classifications with Selected Machine Learning Algorithms. Remote Sensing. 10(2): 294.

28.  Zhao Xiaoqian, Su Yanjun, Li WenKai, Hu Tianyu, Liu Jin, Guo Qinghua*. 2018. A Comparison of LiDAR Filtering Algorithms in Vegetated Mountain Areas. Canadian Journal of Remote Sensing. 1-12.

29.  Zhao Xiaoqian, Su Yanjun, Hu Tianyu, Chen Linhai, Gao Shang, Wang Rui, Jin Shichao, Guo Qinghua*. 2018. A Global Corrected SRTM DEM Product for Vegetated Areas. Remote Sensing Letters. 9(4): 393-402.

30.  Ao Zurui, Su Yanjun, Li Wenkai, Guo Qinghua*, Zhang Jing*. 2017. One-Class Classification of Airborne LiDAR Data in Urban Areas Using a Presence and Background Learning Algorithm. Remote Sensing. 9(10): 1001.

31.  Guo Qinghua*, Su Yanjun, Hu Tianyu, Zhao Xiaoqian, Wu Fangfang, Li Yumei, Liu Jin, Chen Linhai, Xu Guangcai, Lin Guanghui, Zheng Yi, Lin Yiqiong, Mi Xiangcheng, Fei Lin, Wang Xugao. 2017. An Integrated UAV-Borne Lidar System for 3D Habitat Mapping in Three Forest Ecosystems Across China. International Journal of Remote Sensing.38(8-10): 2954-2972.

32.  Kelly Maggi, Su Yanjun, Di Tommaso Stefania, Fry Danny, Collins Brandon, Stephens Scott, Guo Qinghua. 2017. Impact of Error in Lidar-Derived Canopy Height and Canopy Base Height on Modeled Wildfire Behavior in the Sierra Nevada, California, USA. Remote Sensing. 10(2): 10.

33.  Li Yumei, Guo Qinghua*, Su Yanjun, Tao Shengli, Zhao Kaiguang, Xu Guangcai. 2017. Retrieving The Gap Fraction, Element Clumping Index, And Leaf Area Index of Individual Trees Using Single-Scan Data From A Terrestrial Laser Scanner. ISPRS Journal of Photogrammetry and Remote Sensing. 130: 308-316.

34.  Ma Qin, Su Yanjun, Guo Qinghua*. 2017. Comparison of Canopy Cover Estimations From Airborne LiDAR, Aerial Imagery, and Satellite Imagery. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 10(9): 4225-4236.

35.  Ma Qin, Su Yanjun, Tao Shengli, Guo Qinghua*. 2017. Quantifying Individual Tree Growth and Tree Competition Using Bi-Temporal Airborne Laser Scanning Data: A Case Study in The Sierra Nevada Mountains, California. International Journal of Digital Earth. 11(5): 485-503.

36.  Su Yanjun, Bales Roger C., Ma Qin, Nydick Koren, Ray Ram L., Li Wenkai, Guo Qinghua*. 2017. Emerging Stress and Relative Resiliency of Giant Sequoia Groves Experiencing Multiyear Dry Periods in a Warming Climate. Journal of Geophysical Research: Biogeosciences. 122(11): 3063-3075.

37.  Su Yanjun, Ma Qin, Guo Qinghua*. 2017. Fine-Resolution Forest Tree Height Estimation Across The Sierra Nevada Through The Integration of Spaceborne Lidar, Airborne Lidar, and Optical Imagery. International Journal of Digital Earth. 10(3): 307-323.

38.  Wang Run, Wan Bo, Guo Qinghua, Hu Maosheng, Zhou Shunping. 2017. Mapping Regional Urban Extent Using NPP-VIIRS DNB and MODIS NDVI Data. Remote Sensing. 9(8): 862.

39.  Xue BaoLin, Guo Qinghua*, Hu Tianyu, Wang Guoqiang, Wang Yongcai, Tao Shengli, Su Yanjun, Liu Jin, Zhao Xiaoqian. 2017. Evaluation of Modeled Global Vegetation Carbon Dynamics: Analysis Based on Global Carbon Flux and Above-Ground Biomass Data. Ecological Modelling. 355: 84-96.

40.  Xue BaoLin, Guo Qinghua*, Hu Tianyu, Xiao Jingfeng, Yang Yuanhe, Wang Guoqiang, Tao Shengli, Su Yanjun, Liu Jin, Zhao Xiaoqian. 2017. Global Patterns of Woody Residence Time and Its Influence on Model Simulation of Aboveground Biomass. Global Biogeochemical Cycles. 31(5): 821-835.

41.  Zhu Jinxia, Su Yanjun, Guo Qinghua*, Harmon Thomas C. 2017. Unsupervised Object-Based Differencing for Land-Cover Change Detection. Photogrammetric Engineering & Remote Sensing. 83(3): 225-236.

42.  Hu Tianyu#, Su Yanjun#, Xue Baolin, Liu Jin, Zhao Xiaoqian, Fang Jingyun, Guo Qinghua*. 2016. Mapping Global Forest Aboveground Biomass with Spaceborne LiDAR, Optical Imagery, and Forest Inventory Data. Remote Sensing. 8(7): 1-27.

43.  Li Yumei, Guo Qinghua*, Tao Shengli, Zheng Guang, Zhao Kaiguang, Xue Baolin, Su Yanjun. 2016. Derivation, Validation, and Sensitivity Analysis of Terrestrial Laser Scanning-Based Leaf Area Index. Canadian Journal of Remote Sensing. 42(6): 719-729.

44.  Su Yanjun, Guo Qinghua*, Collins Brandon M., Fry Danny L., Hu Tianyu, Kelly Maggi. 2016. Forest Fuel Treatment Detection Using Multi-Temporal Airborne Lidar Data and High-Resolution Aerial Imagery: A Case Study in the Sierra Nevada Mountains, California. International Journal of Remote Sensing. 37(14): 3322-3345.

45.  Su Yanjun, Guo Qinghua*, Fry Danny L., Collins Brandon M., Kelly Maggi, Flanagan Jacob P., Battles John J. 2016. A Vegetation Mapping Strategy for Conifer Forests by Combining Airborne LiDAR Data and Aerial Imagery. Canadian Journal of Remote Sensing. 42(1): 1-15.

46.  Su Yanjun, Guo Qinghua*, Xue Baolin, Hu Tianyu, Alvarez Otto, Tao Shengli, Fang Jingyun. 2016. Spatial Distribution of Forest Aboveground Biomass in China: Estimation Through Combination of Spaceborne Lidar, Optical Imagery, And Forest Inventory Data. Remote Sensing of Environment. 173: 187-199.

47.  Tao Shengli, Guo Qinghua, Li Chao, Wang Zhiheng, Fang Jingyun. 2016. Global Patterns and Determinants of Forest Canopy Height. Ecology. 97(12): 3265-3270.

48.  Tao Shengli, Guo Qinghua*, Wu Fangfang, Li Le, Wang Shaopeng, Tang Zhiyao, Xue Baolin, Liu Jin, Fang Jingyun. 2016. Spatial Scale and Pattern Dependences of Aboveground Biomass Estimation from Satellite Images: A Case Study of the Sierra National Forest, California. Landscape Ecology. 31(8): 1711-1723

49.  Xue BaoLin, Guo Qinghua*, Gong Yongwei, Tianyu Hu, Liu Jin, Ohta Takeshi. 2016. The Influence of Meteorology and Phenology on Net Ecosystem Exchange in An Eastern Siberian Boreal Larch Forest. Journal of Plant Ecology. 9(5) 520-530.

50.  Zapata-Rios Xavier, Brooks Paul D., Troch Peter A., McIntosh Jennifer, Guo Qinghua. 2016. Influence of Terrain Aspect on Water Partitioning, Vegetation Structure and Vegetation Greening in High-Elevation Catchments in Northern New Mexico. Ecohydrology. 9(5): 782-795.

51.  Zhao Xiaoqian, Guo Qinghua*, Su Yanjun, Xue Baolin. 2016. Improved Progressive Tin Densification Filtering Algorithm for Airborne Lidar Data in Forested Areas. ISPRS Journal of Photogrammetry and Remote Sensing. 117: 79-91.

52.  Li Le, Guo Qinghua*, Tao Shengli, Kelly Maggi, Xu Guangcai. 2015. Lidar with Multi-Temporal Modis Provide A Means to Upscale Predictions of Forest Biomass. ISPRS Journal of Photogrammetry and Remote Sensing. 102: 198-208.

53.  Su Yanjun, Guo Qinghua*, Ma Qin, Li Wenkai. 2015. SRTM DEM Correction in Vegetated Mountain Areas through the Integration of Spaceborne LiDAR, Airborne LiDAR, and Optical Imagery. Remote Sensing. 7(9): 11202-11225.

54.  Tao Shengli, Fang Jingyun, Zhao Xia, Zhao Shuqing, Shen Haihua, Hu Huifeng, Tang Zhiyao, Wang Zhiheng, Guo Qinghua. 2015. Rapid Loss of Lakes on The Mongolian Plateau. Proc Natl Acad Sci U S A. 112(7): 2281-2286.

55.  Tao Shengli, Guo Qinghua*, Xu Shiwu, Su Yanjun, Li Yumei, Wu Fangfang. 2015. A Geometric Method for Wood-Leaf Separation Using Terrestrial and Simulated Lidar Data. Photogrammetric Engineering & Remote Sensing. 81(10): 767-776.

56.  Tao Shengli, Wu Fangfang, Guo Qinghua*, Wang Yongcai, Li Wenkai, Xue Baolin, Hu Xueyang, Li Peng, Tian Di, Li Chao, Yao Hui, Li Yumei, Xu Guangcai, Fang Jingyun. 2015. Segmenting Tree Crowns from Terrestrial and Mobile Lidar Data by Exploring Ecological Theories. ISPRS Journal of Photogrammetry and Remote Sensing. 110: 66-76.

57.  Tempel Douglas J., Gutiérrez R. J., Battles John J., Fry Danny L., Su Yanjun, Guo Qinghua, Reetz Matthew J., Whitmore Sheila A., Jones Gavin M., Collins Brandon M., Stephens Scott L., Kelly Maggi, Berigan William J., Peery M. Zachariah. 2015. Evaluating Short- and Long-Term Impacts of Fuels Treatments and Simulated Wildfire on An Old-Forest Species. Ecosphere. 6(12): 1-19.

58.  Wan Bo, Guo Qinghua*, Fang Fang, Su Yanjun, Wang Run. 2015. Mapping US Urban Extents from MODIS Data Using One-Class Classification Method. Remote Sensing. 7(8): 10143-10163.

59.  Xue BaoLin, Guo Qinghua*, Otto Alvarez, Xiao Jingfeng, Tao Shengli, Li Le. 2015. Global Patterns, Trends, And Drivers of Water Use Efficiency From 2000 to 2013. Ecosphere. 6(10): 1-18.

60.  Xue BaoLin, Li Zhanling, Yin Xin-An, Zhang Tieliang, Iida Shin'ichi, Otsuki Kyoichi, Ohta Takeshi, Guo Qinghua*. 2015. Canopy Conductance in A Two-Storey Siberian Boreal Larch Forest, Russia. Hydrological Processes. 29(6): 1017-1026.

61.  Zhao Kaiguang, García Mariano, Liu Shu, Guo Qinghua, Chen Gang, Zhang Xuesong, Zhou Yuyu, Meng Xuelian. 2015. Terrestrial Lidar Remote Sensing of Forests: Maximum Likelihood Estimates of Canopy Profile, Leaf Area Index, And Leaf Angle Distribution. Agricultural and Forest Meteorology. 209-210: 100-113.

62.  Alvare Otto, Guo Qinghua*, Klinger Robert C., Li Wenkai, Doherty Paul. 2014. Comparison of Elevation and Remote Sensing Derived Products as Auxiliary Data for Climate Surface Interpolation. International Journal of Climatology. 34 (7): 2258-2268.

63.  Doherty Paul J., Guo Qinghua*, Li Wenkai, Doke Jared. 2014. Space-Time Analyses for Forecasting Future Incident Occurrence: A Case Study from Yosemite National Park Using The Presence and Background Learning Algorithm. International Journal of Geographical Information Science. 28(5): 910-927.

64.  Doherty Paul J., Guo Qinghua*, Doke Jared, Ferguson Don. 2014. An Analysis Of Probability of Area Techniquesfor Missing Persons in Yosemite National Park. Applied Geography. 47: 99-110.

65.  Harpold Adrian, Guo Qinghua, Molotch Noah P., Brooks Paul D., Bales Roger C., Carlos Juan, Diaz Fernandez, Musselman Keith, Swetnam Tyson Lee, Kirchner Peter B., Meadows Matt, Flanagan Jacob, Ryan G Lucas. 2014. Lidar-Derived Snowpack Datasets from Mixed Conifer Forests across the Western U.S. Water Resources Research. 50: 2749-2755.

66.  Kirchner P. B., Bales R. C., Molotch N. P., Flanagan J., Guo Qinghua. 2014. Lidar Measurement of Seasonal Snow Accumulation Along An Elevation Gradient in the southern Sierra Nevada, California. Hydrology and Earth System Sciences Discussions. 11(5): 5327-5365.

67.  Li Wenkai, Guo Qinghua*. 2014. A New Accuracy Assessment Method for One-Class Remote Sensing Classification. IEEE Transactions on Geoscience and Remote Sensing. 52(8): 4621-4632.

68.  Lu Xingcheng, Guo Qinghua*, Li Wenkai, Flanagan Jacob. 2014. A Bottom-Up Approach to Segment Individual Deciduous Trees Using Leaf-Off Lidar Point Cloud Data. ISPRS Journal of Photogrammetry and Remote Sensing. 94: 1-12.

69.  Su Yanjun, Guo Qinghua*. 2014. A Practical Method for Srtm Dem Correction Over Vegetated Mountain Areas. ISPRS Journal of Photogrammetry and Remote Sensing. 87: 216-228.

70.  Tao Shengli, Guo Qinghua*, Li Le, Xue Baolin, Kelly Maggi, Li Wenkai, Xu Guangcai, Su Yanjun. 2014. Airborne Lidar-Derived Volume Metrics for Aboveground Biomass Estimation: A Comparative Assessment for Conifer Stands. Agricultural and Forest Meteorology. 198: 24-32.

71.  Zhou Yuan, Chen Jin, Guo Qinghua, Cao Ruyin, Zhu Xiaolin. 2014. Restoration of Information Obscured by Mountainous Shadows Through Landsat TM/ETM plus Images Without the Use of DEM Data: A New Method. IEEE Transactions on Geoscience and Remote Sensing. 52(1): 313-328.

72.  Berlow Eric L., Knapp Roland A., Ostoja Steven M., Williams Richard J., McKenny Heather, Matchett John. R., Guo Qinghua, Fellers Gary M., Kleeman Patrick, Brooks Matthew L., Joppa Lucas. 2013. A Network Extension of Species Occupancy Models in a Patchy Environment Applied to the Yosemite Toad (Anaxyrus canorus). Plos One. 8(8).

73.  Doherty Paul, Guo Qinghua, Alvarez Otto. 2013. Expert versus Machine: A Comparison of Two Suitability Models for Emergency Helicopter Landing Areas in Yosemite National Park. Professional Geographer. 65(3): 466-481.

74.  Jakubowksi Marek K., Guo Qinghua, Collins Brandon, Stephens Scott, Kelly Maggi. 2013. Predicting Surface Fuel Models and Fuel Metrics Using Lidar and CIR Imagery in a Dense, Mountainous Forest. Photogrammetric Engineering and Remote Sensing. 79(1): 37-49.

75.  Jakubowski Marek K., Guo Qinghua, Kelly Maggi. 2013. Tradeoffs Between Lidar Pulse Density and Forest Measurement Accuracy. Remote Sensing of Environment. 130: 245-253.

76.  Jakubowski Marek K., Li Wenkai, Guo Qinghua, Kelly Maggi. 2013. Delineating Individual Trees from Lidar Data: A Comparison of Vector-and Raster-based Segmentation Approaches. Remote Sensing. 5(9): 4163-4186.

77.  Li Wenkai, Guo Qinghua*. 2013. How to Assess the Prediction Accuracy of Species Presence–Absence Models Without Absence Data? Ecography. 36: 001–012.

78.  Cisneros Ricardo, Schweizer Donald, Zhong Sharon, Hammond Katharine, Perez Miguel A., Guo Qinghua, Traina Samuel, Bytnerowicz Andrzej, Bennett Deborah H. 2012. Analysing The Effects of The 2002 Mcnally Fire on Air Quality in The San Joaquin Valley and Southern Sierra Nevada, California. International Journal of Wildland Fire. 21(8): 1065-1075.

79.  Fernandez Miguel, Hamilton Healy, Alvarez Otto, Guo Qinghua. 2012. Does Adding Multi-Scale Climatic Variability Improve Our Capacity to Explain Niche Transferability in Invasive Species? Ecological Modelling. 246: 60-67.

80.  Guo Qinghua*, Li Wenkai, Liu Desheng, Chen Jin. 2012. A Framework for Supervised Image Classification with Incomplete Training Samples. Photogrammetric Engineering and Remote Sensing. 78(6): 595-604.

81.  Li Wenkai, Guo Qinghua*, Jakubowski Marek K., Kelly Maggi. 2012. A New Method for Segmenting Individual Trees from the Lidar Point Cloud. Photogrammetric Engineering and Remote Sensing. 78(1): 75-84.

82.  Liu Yu, Guo Qinghua, Tian Yuan. 2012. A Software Framework for Classification Models of Geographical Data. Computers & Geosciences. 42: 47-56.

83.  Rahilly Patrick, Li Donghai, Guo Qinghua, Zhu Jinxia, Ortega Ricardo, Quinn Nigel W. T., Harmon Thomas C. 2012. Mapping Swamp Timothy (Crypsis Schoenoides) Seed Productivity Using Spectral Values and Vegetation Indices in Managed Wetlands. International Journal of Remote Sensing. 33(16): 4902-4918.

84.  Zhao Feng, Guo Qinghua, Kelly Maggi. 2012. Allometric Equation Choice Impacts Lidar-Based Forest Biomass Estimates: A Case Study from the Sierra National Forest, CA. Agricultural and Forest Meteorology. 165: 64-72.

85.  Zhao Feng, Swertzer R., Guo Qinghua, Kelly Maggi. 2012. Characterizing Habitats Associated with Fisher Den Structures in Southern Sierra Nevada Forests Using Discrete Return Lidar. Forest Ecology and Management. 280: 112-119.

86.  Doherty Paul, Guo Qinghua*, Liu Yu, Wieczorek John, Doke Jared. 2011. Georeferencing Incidents from Locality Descriptions and its Applications: a Case Study from Yosemite National Park Search and Rescue. Transactions in Gis. 15(6): 775-793.

87.  Guo Qinghua*, Li Wenkai, Liu Yu, Tong Daoqin. 2011. Predicting Potential Distributions of Geographic Events Using One-Class Data: Concepts And Methods. International Journal of Geographical Information Science. 25(10): 1697-1715.

88.  Li Donghai, Guo Qinghua*, Rahilly Patrick J. A., Phelps Gary M., Harmon Thomas C. 2011. Correlation Between Soil Apparent Electroconductivity and Plant Hyperspectral Reflectance in A Managed Wetland. International Journal of Remote Sensing. 32(9): 2563-2579.

89.  Li Wenkai, Guo Qinghua*, Elkan Charles. 2011. Can We Model The Probability of Presence of Species Without Absence Data? Ecography. 34(6): 1096-1105.

90.  Li Wenkai, Guo Qinghua*, Elkan Charles. 2011. A Positive and Unlabeled Learning Algorithm for One-Class Classification of Remote-Sensing Data. IEEE Transactions on Geoscience and Remote Sensing. 49(2): 717-725.

91.  Zhu Jinxia, Guo Qinghua*, Li Donghai, Harmon Thomas C. 2011. Reducing Mis-registration and Shadow Effects on Change Detection in Wetlands. Photogrammetric Engineering and Remote Sensing. 77(4): 325-334.

92.  de la Pe˜na S., Nienow P., Shepherd A., Helm V., Mair D., Hanna E., Huybrechts P., Guo Qinghua, Cullen R., Wingham D. 2010. Spatially Extensive Estimates of Annual Accumulation in The Dry Snow Zone of The Greenland Ice Sheet Determined from Radar Altimetry. Cryosphere. 4(4): 467-474.

93.  Guo Qinghua*, Li Wenkai, Yu Hong, Alvarez Otto. 2010. Effects of Topographic Variability and Lidar Sampling Density on Several DEM Interpolation Methods. Photogrammetric Engineering and Remote Sensing. 76(6): 701-712.

94.  Guo Qinghua*, Liu Yu. 2010. ModEco: An Integrated Software Package for Ecological Niche Modeling. Ecography. 33(4): 637-642.

95.  Li Wenkai, Guo Qinghua*. 2010. A Maximum Entropy Approach to One-Class Classification of Remote Sensing Imagery. International Journal of Remote Sensing. 31(8): 2227-2235.

96.  Xiao Chenchao, Tian Yuan, Shi Wenzhong, Guo Qinghua, Wu Lun. 2010. A New Method of Pseudo Absence Data Generation in Landslide Susceptibility Mapping with A Case Study of Shenzhen. Science China-Technological Sciences. 53(3): 75-84.

97.  Bales Roger C., Guo Qinghua, Shen Dayong, McConnell Joseph R., Du Guoming, Burkhart John F., Spikes Vandy B., Hanna Edward, Cappelen John. 2009. Annual Accumulation for Greenland Updated Using Ice Core Data Developed During 2000-2006 and Analysis of Daily Coastal Meteorological Data. Journal of Geophysical Research-Atmospheres. 114(3): 1-148.

98.  Fernandez Miguel, Blum Stanley, Reichle Steffen, Guo Qinghua, Holzman Barbara, Hamilton Healy. 2009. Locality Uncertainty and The Differential Performance of Four Common Niche-Based Modeling Techniques. Biodiversity Informatics. 6: 36–52.

99.  Liu Yu, Guo Qinghua*, Wieczorek John, Goodchild Michael F. 2009. Positioning Localities Based on Spatial Assertions. International Journal of Geographical Information Science. 23(11): 1471-1501.

100.    Guo Qinghua*, Liu Yu, Wieczorek J. 2008. Georeferencing Locality Descriptions and Computing Associated Uncertainty Using A Probabilistic Approach. International Journal of Geographical Information Science. 22(10): 1067-1090. (One of the top 10 most cited papers in IJGIS in the past 10 years).

101.    Liu Yu, Goodchild Michael F., Guo Qinghua, Tian Yuan, Wu Lun. 2008. Towards A General Field Model and Its Order in GIS. International Journal of Geographical Information Science. 22(6): 623-643.

102.    Liu Yu, Guo Qinghua*, Kelly Maggi. 2008. A Framework of Region-Based Spatial Relations for Non-Overlapping Features And Its Application in Object Based Image Analysis. ISPRS Journal of Photogrammetry & Remote Sensing. 63(4): 461-475.

103.    Guo Qinghua*, Kelly Maggi, Gong Peng, Liu Desheng. 2007. An Object-Based Classification Approach in Mapping Tree Mortality Using High Spatial Resolution Imagery. Giscience & Remote Sensing. 44(1): 24-47.

104.    Kelly Maggi, Guo Qinghua, Liu Desheng, Shaari David. 2007. Modeling The Risk of A New Invasive Forest Disease in The United Sates: An Evaluation of Five Environmental Niche Models. Computer, Environment and Urban System. 31(2007): 689–710.

105.    Liu Desheng, Kelly Maggi, Gong Peng, Guo Qinghua. 2007. Characterizing Spatial-Temporal Tree Mortality Patterns Associated With A New Forest Disease. Forest Ecology and Management. 253(1-3): 220-231.

106.    Kim J., Guo Qinghua, Baldocchi D. D., Xu L., Schmid H. P. 2006. Upscaling Fluxes From Tower to Landscape: Overlaying Tower Flux Footprint Calculations on High Resolution (IKONOS) vegetation density images. Agricultural and Forest Meteorology. 136(2006): 132–146.

107.    Liu Desheng, Gong Peng, Kelly Maggi, Guo Qinghua. 2006. Automatic Registration of Airborne Images With Complex Local Distortion. Photogrammetric Engineering and Remote Sensing. 72(9): 1049-1059.

108.    Guo Qinghua*, Kelly Maggi, Graham Catherine H. 2005. Support Vector Machines for Predicting Distribution of Sudden Oak Death in California. Ecological Modelling. 182(1): 75-90.

109.    Guo Qinghua*, Kelly Maggi. 2004. Interpretation of Scale in Paired Quadrat Variance Methods. Journal of Vegetation Science. 15(6): 763-770.

110.    Kelly Maggi, Shaari David, Guo Qinghua, Liu Desheng. 2004. A Comparison of Standard and Hybrid Classifier Methods for Mapping Hardwood Mortality in Areas Affected By "Sudden Oak Death". Photogrammetric Engineering and Remote Sensing. 70(11): 1229-1239.

111.    Piao Shilong, Fang Jingyun, Ji Wei, Guo Qinghua, Ke Jinhu, Tao Shu. 2004. Variation in A Satellite-Based Vegetation Index in Relation to Climate in China. Journal of Vegetation Science. 15(2): 219-226.

112.    Wieczorek John, Guo Qinghua, Hijmans Robert. 2004. The Point-Radius Method for Georeferencing Locality Descriptions and Calculating Associated Uncertainty. International Journal of Geographical Information Science. 18(8): 745-767.

113.    Fang Jingyun, Piao Shilong, Field Christopher B, Pan Yude, Guo Qinghua, Zhou Liming, Peng Changhui, Tao Shu. 2003. Increasing Net Primary Production in China from 1982 to 1999. Frontiers in Ecology and the Environment. 1(6): 293-297.

114.    Piao Shilong, Fang Jingyun, Zhou Liming, Guo Qinghua, Henderson Mark, Ji Wei, Li Yan, Tao Shu. 2003. Interannual Variations of Monthly and Seasonal Normalized Difference Vegetation Index (Ndvi) in China from 1982 to 1999. Journal of Geophysical Research-Atmospheres. 108(D14): 4401.

Publications in Chinese

115.    Guo Qinghua*, Hu Tianyu, Ma Qin, Xu Kexin, Yang Qiuli, Sun Qianhui, Li Yumei, Su Yanjun. The Advances For The New Remote Sensing Technology In Ecosystem Ecology Research. Chinese Journal of Plant Ecology. (Accepted).

116.    Guo Qinghua#*, Jin Shichao#, Li Min, Yang Qiuli, Xu Kexin, Ju Yuanzhen, Zhang Jing, Xuan Jing, Liu Jin, Su Yanjun, Xu Qiang, Liu Yu. Application of Deep Learning In Ecological Resource Research: Theories, Methods, and Challenges. ScienceChina: Earth Science. (Accepted).

117.    Zhang Jing, Sun Qianhui, Ye Zhen, Yang Mohan, Zhao Xiaoxia, Ju Yuanzhen, Hu Tianyu, Guo Qinghua*.New Technology for Ecological Remote Sensing: Light, Small Unmanned Aerial Vehicles (UAV). Tropical Geography. 39(4): 604-615.

118.    Li Ainong, Yin Gaofei, Zhang Zhengjian, Tan Jianbo, Nan Xi, Ma Keping, Guo Qinghua. 2018. Space-Air-Field Integrated Biodiversity Monitoring Based On Experimental Station. Biodiversity Science. 26(8): 819-827.(In Chinese)

119.    Zhou Zhongyi, Liu Ran, Shi Shuna, Su Yanjun, Li Wenkai, Guo Qinghua. 2018. Ecological Niche Modeling With Lidar Data: A Case Study of Modeling The Distribution of Fisher in The Southern Sierra Nevada Mountains, California. Biodiversity Science. 26(8): 878-891.

120.    Guo Qinghua*, Hu Tianyu, Jiang Yuanxi, Jin Shichao, Wang Rui, Guan Hongcan, Yang Qiuli, Li Yumei, Wu Fangfang, Zhai Qiuping, Liu Jin, Su Yanjun. 2018. Advances In Remote Sensing Application For Biodiversity Research. Biodiversity Science. 26(8): 789-806.

121.    Guo Qinghua*, Yang Weicai, Wu Fang, Pang Shuxin, Jin Shichao, Chen Fan, Wang Xiujie. 2018. High-throughput Crop Phenotyping: Accelerators for Development of Breeding and Precision Agriculture[J].Bulletin of the Chinese Academy of Sciences. 33(9): 940-946.

122.    Ma Keping, Zhu, Min, Ji Liqiang, Ma Juncai, Guo Qinghua, Ouyang Zhiyun, Zhu Li. 2018. Establishing China Infrastructure for Big Biodiversity Data. Bulletin of the Chinese Academy of Sciences.33(8): 838-845.

123.    Guo Qinghua*, Liu Jin, Li Yumei, Zhai Qiuping, Wang Yongcai, Wu Fangfang, Hu Tianyu, Wan Huawei, Liu Huiming, Shen Wenming. 2016. A Near-Surface Remote Sensing Platform For Biodiversity Monitoring: Perspectives and Prospects. Biodiversity Science. 24(11): 1249-1266.

124.    Guo Qinghua*, Wu Fangfang, Pang Shuxin, Zhao Xiaoqian, Chen Linhai, Liu Jin, Xue Baolin, Xu Guangcai, Li Le, Jing Haichun, Chu Chengcai. 2016. Crop3D: A Platform Based On Lidar For 3D High-Throughput Crop Phenotyping. Sci Sin Vitae. 46(10): 1210–1221.

125.    Guo Qinghua*, Wu Fangfang, Hu Tianyu, Chen Linhai, Liu Jin, Zhao Xiaoqian, Gao Shang, Pang Shuxin. 2016. Perspectives and Prospects of Unmanned Aerial Vehicle In Remote Sensing Monitoring of Biodiversity. Biodiversity Science. 24(11): 1267-1278.

126.    Guo Qinghua*, Liu Jin, Tao Shengli, Xue Baolin, Li Le, Xu Guangcai, Li Wenkai, Wu Fangfang, Li Yumei, Chen Linhai, Pang Shuxin. 2014. Perspectives and Prospects of Lidar In Forest Ecosystem Monitoring and Modeling. Chinese Science Bulletin (Chin Ver). 59(6): 459–478.

127.    Xu Shiwu, Yang Shuang, Sun Fei, Guo Qinghua. 2014. Method Research On Cultivated Land Extraction Based On Object One-Class Classification of High-Spatial-Resolution Images. Bulletin of Surveying and Mapping. (10): 78–81.

128.    Zhu Jinxia, Guo Qinghua, Wang Ke. 2012. Change Detection on Wetlands Using High Spatial Resolution Imagery. Scientia Agricultura Sinica. 45(21): 4369-4376.

129.    Piao Shilong, Fang Jingyun, Guo Qinghua. Application of CASA model to the estimation of Chinese terrestrial Net Primary Productivity. Acta Phytoecologica Sinica. 25(05): 603–609.

130.    Piao Shilong, Fang Jingyun, Guo Qinghua. 2001. Terrestrial net primary production and its spatio-temporal patterns in China during 1982–1999. Acta Scientiarum Naturalium Universitatis Pekinensis. 37(04): 563–569.

131.    Zeng Hui, Yu Hong, Guo Qinghua. 2000. Dynamic model construction and simulation study of town landuse for Longhua area, Shenzhen City. Acta Ecologica Sinica. 20(04): 545–551.

132.    Zeng Hui, Guo Qinghua, Yu Hong. 1999. Spatial Analysis of Landscape Human Transforming in Fenggang Town, Dongguan City. Acta Ecological Sinica. 19(03): 298–303.

133.    Zeng Hui, Shao Nan, Guo Qinghua. 1999. A Study of Landscape Heterogeneity For The Changping Area In The Eastern Pearl River Delta. Acta Geographica Sinica. 54(03): 255–262.

134.    Zeng Hui, Tang Jiang, Guo Qinghua. 1999. A Landscape Study of Element Transferring Pattern and Changing Stage of Changping Town In Eastern Part of Zhujiang Delta Area. Scientia Geographica Sinica. 19(01): 73–77.

135.    Fang Jingyun, Guo Qinghua, Liu Guohua. 1999. Distribution Pattern of Chinese Beech (fagus l.) Species In Relation To Topology. Acta Botanica Sinica. 41(03): 766–774.

136.    Guo Qinghua, Yu Hong, Cao Yanli, Zhang Zepu. 1999. The Remote Sensing Study On The Characteristics of Forest-Steppe Ecotone. Univesitatis Pekinensis. 35(04): 122-129.

137.    Zeng Hui, Guo Qinghua, Liu Xiaodong. 1998. Experimental Research of Spatial Resolution Effects For Landscape Pattern –A Case Study of Eastern Part in Zhujiang Delta. Univesitatis Pekinensis. 34(06): 820–826.

138.    Zeng Hui, Tang Jiang, Guo Qinghua. 1998. Landscape Changing Research of Small Town in The Eastern Part of Zhujiang Delta Area – A Case Study of Changping Town, Dongguan City. Journal of Basic Science and Engineer. 6(02): 125–133.

139.    Zeng Hui, Guo Qinghua, Liu Jingyan. 1997. Analysis of Landscape Ecological-Changing Characteristics of Dongguan City. China Environmental Sciences. 17(05): 422–425.

Conferences & Honors


     Guo, Q. Remote Sensing in Ecological Studies: Revolution from 2D to 3D, Ecology Forum of Peking University, Beijing, China, Dec 2019.

     Guo, Q. Mapping the new generation Vegetation Map of China, The 1st China Digital Earth Conference, Beijing, China, Nov 2019.

     Guo, Q. Data Mining in Digital Ecosystem, IEEE International Conference on Data Mining, Beijing, China, Nov 2019.

     Guo, Q. The Application and Prospect of Data Mining in Ecological Resource Research, 2019 Annual Meeting of Big Data of Resources of China, Beijing, China, Nov 2019.

    Guo, Q. The Use of Near-Surface Remote Sensing in Biodiversity Study, The 3rd China Biodiversity Observation Symposium, Kaihua, Zhejiang, China, Oct 2019.

    Guo, Q. Digital Ecosystem, The 7th China Virtual Geo Geographic Environments Conference, Fuzhou, Fujian, China, Oct 2019.

     Guo, Q. Mapping the New Generation Vegetation Map of China, The 2nd Meeting of the Global Mapping and Applications Partnership, Beijing, China, May 2019.

     Guo, Q. The Development of Field Phenotyping System, Seminar in Nanjing Agriculture University, Nanjing, Jiangsu, China, May 2019.

     Guo, Q. UAV and Mobile Lidar Surveying for Forestry Management, Seminar in Nanjing Agriculture University, Nanjing, Jiangsu, China, May 2019.

     Guo, Q. The Use of UAV LiDAR in Ecosystem Study, Seminar in Nanchang University, Nanchang, Jiangsu, China, Apr 2019.

     Guo, Q. Near-surface remote sensing shed a new light on the biodiversity observation, The American Geophysical Union Fall Meeting, Washington USA, Dec 2018

     Guo, Q. UAV and Mobile Lidar Surveying for Forestry Management, InterGEO, Stuttgart, Germany, Oct 2018

     Guo, Q. The Insights of Mapping the next generation Vegetation Map of China, The 2nd Seminar of Remote Sensing Applications in Biodiversity Studies, Beijing, China, Jun 2018.

     Guo, Q. The application of UAV LiDAR in Geological Hazard Investigation, Seminar in Chengdu University of Technology, Chengdu, Sichuan, China, May 2018.

     Guo, Q. Perspectives and prospects of LiDAR & deep learning in plant phenotyping, Plant phenomics 2017, Beijing, China, Dec 2017.

     Guo, Q. The feasibility of using a universal Random Forest model to map tree height across different locations and vegetation types, The American Geophysical Union Fall Meeting, New Orleans, USA, Dec 2017.

     Guo, Q. Perspectives and Prospects of LiDAR & Deep Learning in Plant Phenotyping, Plant Phenomics 2017, Beijing, China, December 2017.

     Guo, Q. The Application of LiDAR in Mapping Forest Structure Across Multiple Scales, Seminar on Biodiversity Science, Beijing, China, Jun 2017.

     Guo, Q. A Platform Based on LiDAR for High-Throughput Crop Phenotyping, Seminar in Huazhong Agricultural University, Wuhan, Hubei, China, May 2017.

     Guo, Q. From Remote Sensing to Personal Sensing: The Rise of UAV and Lidar Technology in Urban and Environmental Monitoring, Seminar in East China Normal University, Shanghai, China, Apr 2017.

     Guo, Q. Mapping Global Forest Structures Parameters from Multisource Remote Sensing Data, American Association of Geographers' Annual Meeting, Boston, USA, Apr 2017.

     Guo, Q. The Application and Prospect of LiDAR Technology, 2017 Forum of Applications of UAV Aerial Photogrammetry and LiDAR, Urumqi, Xinjiang, China, Mar 2017.

     Guo, Q. Advances of LiDAR and Optical Remote Sensing in Geology and Ecology Applications in CZOs, Seminar in Institute of Earth Environment, Chinese Academy of Sciences, Xi’an, China, Jan 2017.

     Guo, Q. A Global Corrected SRTM DEM Product Over Vegetated Areas Using LiDAR Data, The American Geophysical Union Fall Meeting, San Francisco, USA, Dec 2016.

     Guo, Q. From Remote Sensing to Personal Sensing: The Rise of UAV Technique in Urban / Environmental Monitoring, Shenzhen University, Nov 2016

     Guo, Q. New Technology for Digital Forest Ecosystem, International Training Course on Long-term Ecosystem Monitoring Technologies, Beijing, China, Oct 2016.

     Guo, Q. Crop3Da Plantform for 3D Plant Phenotyping, The 6th Seminar of Sino-Australian bilateral CAS-CSIRO Environmental Stress and Crop Production, Beijing, China, May 2016.

     Guo, Q. Implementation of UAV-borne lidar system based on Velodyne HDL-32E and its application in urban and forest mapping. InterGEO, Stuttgart, Germeny, Oct 2015.

     Guo, Q. Spatial distribution of forest aboveground biomass in China: estimation through combination of spaceborne lidar, optical imagery, and forest inventory data. The American Geophysical Union Fall Meeting, San Francisco, USA, Dec 2015.

     Guo, Q. 3D Vegetation Structure Mapping for Biodiversity Studies, The 8th Global Earth Observation System of Systems Asia-Pacific Symposium, Beijing, China, Sep 2015.

     Guo, Q. Application of Lidar Technology for Cadastral Mapping, REIGL LiDAR 2015 User Conference, Hongkong, China, May 2015.

     Guo, Q. Remote Sensing of Vegetation, from 2D to 3D. SPARC Spatial tea party, UC Merced. April 2015.

     Guo, Q. The Quantification of 3D Habitats for Biodiversity Studies Using Near-Surface Remote Sensing, The 3rd China Biodiversity Observation Symposium, Beijing, China, Jan 2015.

     Guo, Q. Perspectives and Prospects of LiDAR in Geoscience Research, Seminar in the International Institute for Earth System Science (ESSI) at Nanjing University, Nanjing, Jiangsu, China, Jan 2015.

     Guo, Q. Advances and Progresses of LiDAR in Geoscience and Environmental Researches, Seminar in China University of Geosciences (Beijing), Beijing, China, Dec 2014.

     Guo, Q. Crop3Da Platform of 3D Plant Phenotyping Using Lidar. CSIRO, Canberra, Australia, June, 2014.

     Guo, Q. Simulating forest landscape: a lidar approach. 13th International Conference on LiDAR Applications for Assessing Forest Ecosystems, Beijing. October 2013

     Guo, Q. Lidar Remote Sensing of Vegetation and Snow, Annual meeting of the Association of California Water Agencies, Sacramento, CA, May, 2013

     Guo, Q. National CZO Lidar Acquisition Initiative, 2nd International Geobiology Conference, Wuhan, China, Sept. 2012.

     Guo, Q. Lidar Remote Sensing of Forest. USFS, Sacramento, CA, December, 2011

     Guo, Q. Searching for the Best Environmental Niche Model for Mapping Species’ Distributions under Climate Change, Geolunch Seminar, UC Berkeley, CA, March, 2011.

     Guo, Q. Seeing the Trees yet Not Missing the Forest. Tongji University. Shanghai, July, 2010.

     Guo, Q. Mapping Vegetation and Snow Properties from Lidar Data for Six Critical Zone Observatories. National Center of Airborne Laser Mapping Steering Committee Meeting, University of Houston, May, 2010.

     Guo, Q. Explore the Earth from Above, a Recent Development of Geospatial Techniques, the Frontier of Science and Engineering, Atwater, CA, November, 2010.

     Guo, Q. Challenges of Using Presence-only Data in Ecological Niche Modelling: New Thoughts and New Tools, Museums of Vertebrate Zoology, UC Berkeley, April 2009.

     Guo, Q. Modeling the Effect of Global Climate Change on Vegetation Distribution in California: Past, Current, and Future. International Institute for Earth System Science, Nanjing University, June, 2008.

     Guo, Q. Mapping from Land Cover to Land Use: an Object-Based Remote Sensing Classification Approach. EECS seminar, UC Merced, March, 2008.

     Guo, Q. An integrated approach in monitoring environmental change. Peking University Graduate School of ShenZhen, Shenzhen, July, 2007.

     Guo, Q. Mapping from land cover to land use: an object-based classification approach, Object-based Image Analysis Conference 2008, UC Berkeley, June, 2007.

     Guo, Q. Ecological Niche Modeling: Challenges of Using Presence- Only Data, University of New Mexico, April, 2007

     Guo, Q. Integrating sensor network, flux tower, and remote sensing in environmental monitoring. Advanced Topics in Remote Sensing Techniques Workshop, Beijing, December, 2006.

     Guo, Q. Mapping and Modelling a new invasive forest disease in California, Sun Yat-sen University. Guangzhou, December, 2006.

     Guo, Q. Digital Ecosystems. Department of Ecology, Peking University, Beijing, December, 2006.

     Guo, Q. The use of geospatial techniques in the monitoring and modeling of Sudden Oak Death. University of Massachusetts, Amherst, March, 2005.

     Guo, Q. Predicting the potential distribution of sudden oak death in California. Center for Assessment and Monitoring of Forest Environmental Resources. UC Berkeley, October, 2003

     Guo, Q. Application of remote sensing, GIS and spatial analysis on ecological study. Peking University, Beijing, July, 2001.


(1)     2014 ERDAS Award for Best Scientific Paper in Remote Sensing: American Society for Photogrammetry and Remote Sensing

(2)   2013 The Talbert Abrams Award (2nd Honorable Mention): American Society for Photogrammetry and Remote Sensing

Research Projects

(1)The development of new forest inventory method through the integration of multi-source near-surface remote sensing data, 2020-2023, PI: Guo Qinghua, 590,000CNY, National Natural Science of Foundation of China,2020.

(2) 3D observations of key ecosystem parameters through the use of UAV remote sensing, 2018-2019, PI: Guo Qinghua, 400,000 CNY, Chinese Academy of Sciences.

(3)Remote sensing of vegetation and changes in biodiversity, 2018-2022, PI: Guo Qinghua, 52, 380,000 CNY, Strategic Priotity Research Program of Chinese Academy of Sciences.

(4) Grassland resources inventory in core demonstration area of Hulunbuir, China, 2017-2018, PI: Guo Qinghua, 800,000 CNY. Chinese Academy of Sciences.

(5)The development of referencing dataset for ecosystem assessment through the integration of terrestrial and near-surface remote sensing, 2016–2020, PI: Guo Qinghua, 7,500,000 CNY, National Key R&D Program of China,

(6) The extraction of fine forest structure parameters and the analysis of the pattern in their intrinsic variations, 2016–2020, PI: Guo Qinghua, 1,750,000 CNY, Chinese Academy of Sciences.

(7) Extracting forest structural parameters and modeling 3D landscape from T-LiDAR, 2015-2018, PI: Guo Qinghua, 900, 000 CNY, National Natural Science Foundation of China.

(8) The development of automatic, high-resolution, high-throughput 3D plant image analysis system (Plant 3D), 2015-2016, PI: Guo Qinghua, 4,330,000 CNY, Instrument Developing Project of the Chinese Academy of Sciences.

(9) The development of non-destructive and high-throughput crop 3D phenotyping technology, 2013.08–2017.07, PI: Guo Qinghua, 11,987,600 CNY, Strategic Priority Research Program of Chinese Academy of Sciences.

(10) The analysis of feedback effect and sensitivity of climatic change on the carbon cycle of the earth system, 2013–2017, PI: Guo Qinghua, 1,320,000 CNY, National Key R&D Program of China.

(11) Effect of Uncertainty on Species Distributions Under Climate Change, 2012-2016, PI: Guo Qinghua, 770,000 CNY, National Natural Science Foundation of China.

(12)1000 Youth Talents Plan of China, 2012-2016, PI: Guo Qinghua, 3,500,000 CNY, Organization Department of the CPC Central Committee.


Yang Qiuli, Ph.D. student, Advisor, 2019-now

Guan Hongcan, Ph.D. student, Advisor, 2018-now

Ma Qin, Ph.D. student, Advisor, 2018-now

Jin Shichao, Ph.D. student, Advisor, 2017-now

Li Yumei, Ph.D. student, Advisor, 2012-2017

Zhao Xiaoqian, Ph.D. student, Advisor, 2013-2016

Wu Fangfang, Ph.D. student, Advisor, 2012-2017

Zhai Qiuping, Ph.D. student, Advisor, 2013-2017

Zhao Xiaoxia, Master student, Advisor, 2019-now

Yang Mohan, Master student, Advisor, 2019-now

Zhang Jing, Master student, Advisor, 2018-now

Sun Qianhui, Master student, Advisor, 2018-now

Song Shilin, Master student, Advisor, 2017-now

Xu Kexin, Master student, Advisor, 2017-now

Wang Rui, Master student, Advisor, 2016-2019

Gao Shang, Master student, Advisor, 2015-2018

Wang Yongcai, Master student, Advisor, 2014-2017

Chen Linhai, Master student, Advisor, 2013-2016

Pang Shuxin, Master student, Advisor, 2013-2016