回国前系加州大学默塞德分校环境工程学院创始教授、正教授；曾任中国科学院植物研究所研究员，国科大岗位教授。在生态学、地理信息及遥感科学的主流期刊PNAS，Ecology，IEEE GRSM，RSE，ISPRS 等发表SCI论文120余篇，出版专著两部。

个人主页：http://www.3decology.org/

教育经历：

北京大学,  环境学,  学士

北京大学,  地图学与地理信息系统,  硕士

美国加州大学伯克利分校,  环境科学、政策与管理,  博士

工作经历

曾任中国科学院植物研究所研究员，美国加州大学默塞德分校, 助理教授、副教授、正教授

学术任职

2020 – 至今  Science of Remote Sensing，期刊编委

2019 – 至今  国际华人地理信息科学协会（CPGIS），主席

2019 – 至今  林草高新技术成果推广应用专业委员会，副主任

2019 – 至今  《生物多样性》，副主编

2018 – 至今  Remote Sensing，期刊编委

2018 – 至今  国际地球学会中国国家委员会第二届激光雷达专业委员会，委员

2018 – 至今  中国科学院无人机管控中心，副主任

2017 – 至今  地理信息科学系列，编委

2016 – 至今    美国加州大学内华达研究所, 客座教授

2016. – 至今  中国科学院植物研究所植被与环境变化国家重点实验室学术委员会，副主任

2015 – 至今  中国科学院大学 岗位教授、授课教授

奖励信息

（1） 入选科技部创新人才推进计划“中青年科技创新领军人才”，2020

（2）ERDAS Award for Best Scientific Paper in Remo, 一等奖, 其他, 2014

（3） Talbert Abrams Award, 一等奖, 其他, 2013

讲授课程

本科生：空间分析与模拟

研究生：激光雷达与生态学应用；近地面生态遥感

学生培养

郭庆华教授培养的研究生多次获国内外奖项，如"国家奖学金"、 "国家优秀自费留学生奖学金"、"美国国家科学基金会论文奖"、"美国地理学会最佳论文奖"、"北京大学校长奖学金”等。欢迎更多遥感和地理信息系统、数学、地理和生态学或计算机科学背景的学生联系加入我们。

研究兴趣

长期从事遥感和地理信息系统方法及其在生态环境中的应用研究。主要开展以激光雷达为核心传感器、融合多源遥感信息批量提取和反演植被三维结构和功能参数方面的数字生态领域相关研究，目前研究工作主要围绕以下5个方向开展：

1）激光雷达技术的软硬件研发及其在森林和城市生态学中的应用；

2）作物表型信息通量化提取软硬件系统集成；

3）物种分布模型算法（地理一类数据）研究和生物多样性格局模拟应用；

4）多源、多尺度生态遥感大数据融合、计算与信息发布；

5）在区域、全球尺度上应用多源遥感数据结合生态模型，模拟和预测气候变化和土地利用变化对陆地生态系统结构、功能（如碳循环，生物多样性等）的影响 。

科研项目

（ 1 ） ****启动基金, 主持, 研究所（学校）, 2011-12--2014-12

（ 2 ） 全球气候变化下物种分布模型的不确定性研究, 主持, 国家级, 2013-01--2016-12

（ 3 ） 碳循环-气候变化互馈作用及地球系统敏感性, 参与, 国家级, 2013-01--2017-12

（ 4 ） 作物全生育期通量化无损表型分析技术研发, 主持, 部委级, 2013-08--2017-12

（ 5 ） 基于地面激光雷达的森林结构参数提取和真实景观三维建模整合性研究, 主持, 国家级, 2015-01--2018-12

（ 6 ） 全自动、高分辨率、高通量植物真三维影像分析系统（Plant 3D）, 主持, 部委级, 2015-01--2016-12

（ 7 ） 基于地面观测与近地面遥感数据融合的生态系统评估参照系数据集构建, 主持, 国家级, 2016-07--2020-12

（ 8 ） 森林群落精细结构提取及其内在规律研究 , 主持, 部委级, 2017-08--2020-12

（ 9 ） 植被遥感与生物多样性变化, 主持, 部委级, 2018-01--2022-12

（ 10 ） 示范区资源清查, 主持, 部委级, 2017-07--2018-06

（ 11 ） 基于近地面移动遥感测量平台的森林资源调查新方法研究, 主持, 国家级, 2020-01--2023-12

（ 12 ） 基于无人机航空器遥感的生态系统关键参数立体观测, 主持, 部委级, 2018-01--2019-12

授权专利：

1）基于Lidar数据的大规模三维森林可视化场景建立方法；发明专利；ZL2014 1 0601968.X；2017.8.25

2）室内作物表型检测系统；实用新型专利；ZL2016 2 0424843.9；2016.10.5

3） 田间作物表型数据高通量采集系统；实用新型专利；ZL 2016 2 1206071.8；2016.11.09。

发表专著：

郭庆华，陈琳海，2020，激光雷达数据处理方法：LiDAR360教程，高等教育出版社.

郭庆华，苏艳军，胡天宇，刘瑾，2018，激光雷达森林生态应用：理论、方法和实例，高等教育出版社.

发表论文

英文期刊：

1.Jin Shichao,  Sun Xiliang, Wu Fangfang, Su Yanjun, Li Yumei, Song Shilin, Xu Kexin, Ma Qin, Baret Fred, Jiang Dong, Ding Yanfeng, Guo Qinghua* Lidar sheds new light on plant phenomics for plant breeding and management: Recent advances and future prospects. ISPRS Journal of Photogrammetry and Remote Sensing. (Accepted)

2.Guo Qinghua#*, Su Yanjun#*, Hu Tianyu, Guan Hongcan, Jin Shichao, Zhang Jing, Zhao Xiaoxia, Xu Kexin, Wei Dengjie, Kelly Maggi, Coops C. Nicholas. Lidar boosts three-dimensional ecological observations and modelling: A review and perspective. IEEE Geosceicne and Remote Sensing Magazine. (Accepted)

3.Li Wenkai, Guo Qinghua, Charles Elkan. One-Class Remote Sensing Classification from Positive and Unlabeled Background Data. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. (Accepted)

4.Yang Zongfeng, Gao Shang, Xiao Feng, Li Ganghua, Ding Yangfeng, Guo Qinghua, Paul Matthew J., Liu Zhenghui. Leaf to Panicle Ratio (Lpr): A New Physiological Trait Indicative of Source and Sink Relation in Japonica Rice Based on Deep Learning. Plant Methods. DOI: 10.21203/rs.3.rs-25185/v2.

5.Hou Yemao, Cui Xindong, Canul-KuM ario, Jin Shichao, Hasimoto-Beltran Rogelio, Guo Qinghua, Zhu Min. 2020. ADMorph: a 3D Digital Microfossil Morphology Dataset for Deep Learning. IEEE Access. 8:148744-148756.

6.Dai Jingyu, Liu Hongyan, Wang Yongcai, Guo Qinghua, Hu Tianyu, Quine Timothy, Green Sophie, Hartmann Henrik, Xu Chongyang, Liu Xu，Jiang Zihan. 2020. Drought-modulated allometric patterns of trees in semi-arid forests. Communications Biology. (Accepted)

7.Jin Shichao, Su Yanjun, Zhao Xiaoqian, Hu Tianyu, Guo Qinghua*. A Point-Based Fully Convolutional Neural Network for Airborne LiDAR Ground Point Filtering in Forested Environments. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 13: 3958-3974.

8.Su Yanjun, Guo Qinghua*, Jin Shichao, Guan Hongcan, Sun Xiliang, Ma Qin, Hu Tianyu, Wang Rui, Li Yumei. The Development and Evaluation of Backpack Lidar System for Accurate and Efficient Forest Inventory. IEEE Geoscience and Remote Sensing Letters. (Accepted)

9.Guan Hongcan, Su Yanjun, Sun Xiliang, Xu Guangcai, Ma Qin, Wu Xiaoyong, Wu Jin, Liu Lingli, Guo Qinghua. A Marker-Free Method for Registering Multi-Scan Terrestrial Laser Scanning Data in Forest Environments.ISPRS Journal of Photogrammetry and Remote Sensing. 166(8): 82-94.

10.Hu Tianyu, Zhang Yingying, Su Yanjun, Zheng Yi, Lin Guanghui, Guo Qinghua*. Mapping the Global Mangrove Forest Aboveground Biomass Using Multisource Remote Sensing Data. Remote Sensing. (Accepted)

11.Jin Shichao, Su Yanjun, Song Shilin, Xu Kexin, Hu Tianyu Hu, Yang Qiuli, Wu Fangfang, Xu Guangcai, Ma Qin, Guan Hongcan, Pang Shuxin, Li Yumei, and Guo Qinghua. Non-Destructive Estimation of Field Maize Biomass Using Terrestrial Lidar: An Evaluation from Plot Level to Individual Leaf Level. Plant Methods. (Accepted)

12.Yu Yue, Gao Tian, Zhu Jiaojun, Guo Qinghua, Su Yanjun, Li Yumei, Deng Songqiu, Li Mingcai. Terrestrial Laser Scanning-derived Canopy Interception Index As A Descriptor of Canopy Water Storage Capacity. Ecohydrology. (Accepted)

13.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 Jiaxiang, Li Zhenji, Li Xiankun, Li Xiaowei, 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. 65(13): 1125-1136.

14.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. 125(2): e2019JG005306.

15.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).

16.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. DOI: https://doi.org/10.1007/s11430-019-9584-9.

17.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 Laser Scan Data Using A Laplacian Algorithm. Agricultural and Forest Meteorology. 284: 107874.

18.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.

19.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.

20.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*. 2020. 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. 58(4): 2644 - 2658. (Cover Paper) (ESI高被引论文).

21.Guan Hongcan, Su Yanjun , Hu Tianyu, Wang Rui, Ma Qin, Yang Qiuli, Sun Xiliang, Li Yumei, Jin Shichao, Zhang Jing, Ma Qin, Liu Min, Wu Fayun, Guo Qinghua. 2020. A Novel Framework to Automatically Fuse Multi-platform Lidar Data in Forest Environments Based on Tree Locations. IEEE Transactions on Geoscience and Remote Sensing. 58(3): 2165-2177.

22.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.

23.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.

24.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.

25.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.

26.Sun Fei, Wang Run, Wan Bo, Su Yanjun, Guo Qinghua, Huang Youxin, Wu Xincai. 2019. Efficiency of Extreme Gradient Boosting for Imbalanced Land Cover Class

27.ification Using an Extended Margin and Disagreement Performance. ISPRS International Journal of Geo-Information. 8(7): 315.

28.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.

29.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.

30.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.

31.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.

32.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. Frontiers in Plant Science. 9: 866-875.

33.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.

34.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.

35.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.

36.Liu Ran, Li Wenkai, Liu Xiaoping, Lu Xingcheng, Li Tianhong, 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.

37.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.

38.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.

39.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.

40.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.

41.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.

42.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.

43.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.

44.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.

45.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.

46.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.

47.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.

48.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.

49.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.

50.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.

51.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.

52.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.

53.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.

54.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.

55.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.

56.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.

57.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. (Cover Paper)

58.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.

59.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.

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

61.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.

62.Xue BaoLin, Guo Qinghua*, Gong Yongwei, Hu Tianyu, 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.

63.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.

64.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.

65.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.

66.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.

67.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.

68.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.

69.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.

70.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.

71.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.

72.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.

73.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.

74.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.

75.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.

76.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.

77.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.

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

79.Kirchner Peter B., Bales Roger C., Molotch Noah P., Flanagan Jacob, 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.

80.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.

81.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.

82.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.

83.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. 198-199: 24-32.

84.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.

85.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): 1-14.

86.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.

87.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.

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

89.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.

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

91.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.

92.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.

93.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.

94.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.（ESI高被引论文）

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

96.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.

97.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.

98.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.

99.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.

100.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.

101.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.

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

103.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.

104.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.

105.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.

106.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.

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

108.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.

109.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.

110.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(D06116): 1-14.

111.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.

112.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.

113.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).

114.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.

115.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.

116.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.

117.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(6): 689–710.

118.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.

119.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.

120.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.

121.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.

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

123.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.

124.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.

125.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.

126.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.

127.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.

中文期刊：

1.金时超, 胡天宇, 苏艳军, 马勤, 关宏灿, 杨默含, 郭庆华*.  “绿途”系统：公民科学时代的植被调查制图新工具. 中国科学·生命科学（已接收）

2.郭庆华*, 关宏灿, 胡天宇, 金时超, 苏艳军, 王雪静, 魏邓杰, 马勤, 孙千惠. 新一代1:50万中国植被图绘制方法探讨. 中国科学·生命科学（已接收）

3.刘守阳, 金时超, 郭庆华, 朱艳, Fred, Baret. (2020). 基于数字化植物表型平台（D3P）的田间小麦冠层光截获算法开发. 智慧农业, 2, 87-98.

4.郭庆华*, 胡天宇, 马勤, 徐可心, 杨秋丽, 孙千惠, 李玉美, 苏艳军(2020).新一代遥感技术助力生态系统生态学研究（生态技术与方法专辑）. 植物生态学报. (已接收).

5.张菁, 孙千惠, 叶震, 杨默含, 赵晓霞, 巨袁臻, 胡天宇, 郭庆华*. 2019. 生态遥感新锐——轻小型无人机的应用. 热带地理. 39(4): 604-615.

6.李爱农, 尹高飞, 张正健, 谭剑波, 南希, 马克平，郭庆华. 2019. 基于站点的生物多样性星空地一体化遥感监测. 生物多样性. 26(8):  819-27.

7.周中一, 刘冉, 时书纳, 苏艳军, 李文楷, 郭庆华. 2019. 基于激光雷达数据的物种分布模拟: 以美国加州 内华达山脉南部区域食鱼貂分布模拟为例. 生物多样性. 26(8):878-891.

8.郭庆华*, 胡天宇, 姜媛茜, 金时超, 王瑞, 关宏灿, 杨秋丽, 李玉美, 吴芳芳, 翟秋萍, 刘瑾, 苏艳军. 2018. 遥感在生物多样性研究中的应用进展. 生物多样性. 26(8): 789-806.

9.郭庆华*, 杨维才, 吴芳芳, 庞树鑫, 金时超, 陈凡, 王秀杰. 2018. 高通量作物表型监测：育种和精准农业发展的加速器. 中国科学院院刊. 33(9): 940-946.

10.马克平, 朱敏, 纪力强, 马俊才, 郭庆华, 欧阳志云, 朱丽. 2018. 中国生物多样性大数据平台建设. 中国科学院院刊. 33(08): 838-45.

11.郭庆华*, 刘瑾, 李玉美, 翟秋萍, 王永财, 吴芳芳, 胡天宇, 万华伟, 刘慧明, 申文明. 2016. 生物多样性近地面遥感监测_应用现状与前景展望. 生物多样性. 24(11): 1249-126

12.郭庆华*, 吴芳芳, 庞树鑫, 赵晓倩, 陈琳海, 刘瑾, 薛宝林, 徐光彩, 李乐, 景海春, 储成才. 2016. Crop 3D—基于激光雷达技术的作物高通量三维表型测量平台. 中国科学：生命科学. 46(10): 1210-1221

13.郭庆华*, 吴芳芳, 胡天宇, 陈琳海, 刘瑾, 赵晓倩, 高上, 庞树鑫. 2016. 无人机在生物多样性遥感监测中的应用现状与展望. 生物多样性. 24(1): 1267-1278. .

14.郭庆华*, 刘瑾, 陶胜利, 薛宝林, 李乐, 徐光彩, 李文楷, 吴芳芳, 李玉美, 陈琳海, 庞树鑫. 2014. 激光雷达在森林生态系统监测模拟中的应用现状与展望. 科学通报. 59(6): 459-478.

15.徐世武, 杨双, 孙飞, 郭庆华. 2014. 面向对象的高分辨率影像单值分类耕地提取方法研究. 测绘通报. 10:78-81.

16.祝锦霞, 郭庆华, 王珂. 2012. 湿地高分辨率遥感影像的变化检测. 中国农业科学. 45(21): 4369-4376.

17.朴世龙, 方精云, 郭庆华. 2001. 利用CASA模型估算我国植被净第一性生产力. 植物生态学报. (05): 603-609.

18.朴世龙, 方精云, 郭庆华. 2001. 1982—1999年我国植被净第一性生产力及其时空变化. 北京大学学报(自然科学版). 37 (04): 563-569.

19.曾辉, 喻红, 郭庆华. 2000. 深圳市龙华地区城镇用地动态模型建设及模拟研究. 生态学报. 20(04): 545-551.

20.曾辉, 郭庆华, 喻红. 1999. 东莞市风岗镇景观人工改造活动的空间分析. 生态学报. 19(03): 298–303.

21.曾辉, 邵楠, 郭庆华. 1999. 珠江三角洲东部常平地区景观异质性研究. 地理学报. 54(03): 255–262.

22.曾辉, 唐江, 郭庆华. 1999. 珠江三角洲东部地区常平镇景观组分转移模式及动态变化研究. 地理科学. 19(01): 73–77.

23.方精云, 郭庆华, 刘国华. 1999. 我国水青冈属植物的地理分布格局及其与地形的关系. 植物学报. 41(07): 766–774.

24.郭庆华, 喻红, 曹艳丽, 张泽浦. 1999. 北方森林草原生态过渡带的遥感研究. 北京大学学报(自然科学版). 35(04):122-129.

25.曾辉, 郭庆华, 刘晓东. 1998. 景观格局空间分辨率效应的实验研究─以珠江三角洲东部地区为例. 北京大学学报(自然科学版). 34(06): 820–826.

26.曾辉, 唐江, 郭庆华. 1998. 珠江三角洲东部地区小城镇景观动态变化研究──以东莞市常平镇为例. 应用基础与工程科学学报. 6(02): 125–133.

27.曾辉, 郭庆华, 刘静艳. 1997. 东莞市景观生态演化特征的分析. 中国环境科学. 17(05): 422–425.

参与会议

（1）生态资源研究中的数据挖掘：应用与前景   中国资源大数据2019年学术年会   2019-12-19

（2）Data Mining in Digital Ecosystem   2019-11-08

（3）Near-surface remote sensing shed a new light on the biodiversity observation   2018美国地球物理联合会（AGU）秋季会议   2018-12-09

（4）UAV and Mobile Lidar Surveying for Forestry Management   2018-10-15

（5）“Implementation of UAV-borne lidar system based on Velodyne HDL-32E and its application in urban and forest mapping”   2017-09-15

（6）生物多样性和栖息地的三维植被结构制图   第八届亚太全球总和地球观测系统（GEOSS）国际研讨会   2015-09-09

（7）Phenomobile: a Lidar-based canopy digitisation platform for cereals in the field    2014-06-01