(1) 中央引导地方科技发展资金项目子课题, 2023ZY0026-1, 典型草原优化放牧利用调控土壤增碳减排机制研究: 典型草原不同类型经营单元生态系统碳循环框架构建, 2023/07-2026/07, 主持

(2) 国家自然科学基金青年项目, 1901143, 典型草原植物功能多样性对放牧强度的响应: 以近地面多源遥感协同地面调查的方法, 2020/01-2022/12, 主持

(3) 内蒙古自治区关键技术攻关计划项目子课题, 2020GG0092-2, 草原生态安全评估指标体系构建, 2020/07-2023/06, 主持

(4) 内蒙古自治区关键技术攻关计划项目子课题, 2021G0394-2, 典型草原结构多样性与功能多样性的近地面多源遥感评估方法和应用, 2021/07-2024/06, 在研, 主持

(5) 国家重点研发计划课题, 2016YFC0500202, 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, 2016/07-2020/12, 已结题, 参加

(6) 中国科学院科技服务网络计划子课题, KFJ-STS-ZDTP-004, 草牧业核心示范区资源清查, 2017/01-2018/06, 已结题, 参加

(7) 中国科学院前沿科学重点研究项目子课题, QYZDY-SSW-SMC011-1, 森林群落精细结构提取及其内在规律研究, 2016/08–2020/12, 已结题, 参加

(8) 中国科学院十三五修购专项设备项目, , 生物多样性网（Sino BON）植物所平台综合中心（一期）（网络台站）, 2015/01-2016/12, 已结题, 参加

(9) 中国科学院科研装备研制项目, 条财字〔2014〕129 号, 全自动、高分辨率、高通量植物真三维影像分析系统（Plant 3D）, 2015/01-2016/12, 已结题, 参加

(10)国家自然科学基金面上项目, 41471363, 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, 2015/01-2018/12, 已结题, 参加

(11)中国科学院战略性科技先导专项（A类）子课题, XDA08040107, 作物全生育期通量化无损表型分析技术研发, 2013/08-2017/07, 已结题, 参加

1. 刘燕丹, 姚国征, 张慧, 王云锋, 刘瑾, 杨婷婷*, 丁勇. 2022. 草原生态保护修复和利用技术需求优先序研究. 中国草地学报. 44: 55-64.

2. 郭庆华#*, 金时超#, 李敏, 杨秋丽, 徐可心, 巨袁臻, 张菁, 宣晶, 刘瑾, 苏艳军, 许强, 刘瑜. 2020. 深度学习在生态资源研究领域的应用: 理论、方法和挑战. 中国科学: 地球科学. 50: 1354-1373.

3. Guo Qinghua#*, Jin Shichao#, Li Min, Yang Qiuli, Xu Kexin, Ju Yuanzhen, Zhang Jing, Xuan Jing, Liu Jin, Su Yanjun, Xu Qiang, Liu Yu. 2020. Application of deep learning in ecological resource research: theories, methods, and challenges. SCIENCE CHINA Earth Sciences. 63: 1457-1474.

4. 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.

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 laser scan data using a laplacian algorithm. Agricultural and Forest Meteorology. 284: 107874.

6. 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. 58: 2644-2658.

7. 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: 1336-1346.

8. 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, 44: 287-298.

9. 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: 1183-1203.

10. 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: 789 - 806.

11. 郭庆华, 刘瑾, 遥感已经成为生物多样性研究保护与变化监测不可或缺的技术手段. 2018. 生物多样性. 26: 785 - 788.

12. Qinghua Guo*, Fangfang Wu, Shuxin Pang, Xiaoqian Zhao, Linhai Chen, Jin Liu, Baolin Xue, Guangcai Xu, Le Li, Haichun Jing, Chengcai Chu. 2018. Crop 3D-a LiDAR based platform for 3D high-throughput crop phenotyping. Science China Life Sciences. 61: 328-339.

13. Baolin Xue, Qinghua Guo*, Tianyu Hu, Jingfeng Xiao, Yuanhe Yang, Guoqiang Wang, Shengli Tao, Yanjun Su, Jin Liu, Xiaoqian Zhao. 2017. Global patterns of woody residence time and its influence on model simulation of aboveground biomass. Global Biogeochemical Cycles. 31: 821-835.

14. Baolin Xue, Qinghua Guo*, Tianyu Hu, Guoqiang Wang, Yongcai Wang, Shengli Tao, Yanjun Su, Jin Liu, Xiaoqian Zhao. 2017. Evaluation of modeled global vegetation carbon dynamics: analysis based on global carbon flux and above-ground biomass data. Ecological Modelling. 35: 84-96.

15. Qinghua Guo*, Yanjun Su, Tianyu Hu, Xiaoqian Zhao, Fangfang Wu, Yumei Li, Jin Liu, Linhai Chen, Guangcai Xu, Guanghui Lin, Yi Zheng, Yiqiong Lin, Xiangcheng Mi, Lin Fei, Xugao Wang. 2017. An integrated UAV-borne Lidar system for 3D habitat mapping in three forest ecosystems across China, International Journal of Remote Sensing. 38: 2954–2972.

16. 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: 1249 - 1266.

17. 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: 1267 - 1278.

18. Shengli Tao, Qinghua Guo*, Fangfang Wu, Le Li, Shaopeng Wang, Zhiyao Tang, Baolin Xue, Jin Liu, Jingyun Fang. 2016. Spatial scale and pattern dependences of aboveground biomass estimation from satellite images: a case study of the Sierra National Forest, California. Landscape Ecology. 8: 565.

19. 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: 1210 - 1221.

20. Tianyu Hu, Yanjun Su, Baolin Xue, Jin Liu, Xiaoqian Zhao, Jingyun Fang, Qinghua Guo*. 2016. Mapping global forest aboveground biomass with spaceborne LiDAR, optical imagery, and forest inventory Data. Remote Sensing. 31: 1711-1723.

21. Baolin Xue, Qinghua Guo*, Yongwei Gong, Tianyu Hu, Jin Liu, Takeshi Ohta. 2016. The influence of meteorology and phenology on net ecosystem exchange in an eastern Siberian boreal larch forest. Journal of Plant Ecology. 9: 520 – 530.

22. 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: 459 - 478.

23. Jin Liu, Jianguo Wu*, Fengqiao Liu, Xingguo Han. 2012. Quantitative assessment of bioenergy from crop stalk resources in Inner Mongolia, Applied Energy, 93: 305-318

24. Hongmei Jin, Osbert Jianxin Sun*, Zhongkui Luo, Jin Liu. 2009. Dynamics of soil respiration in sparse Ulmus Pumila woodland under semi-arid climate. Ecological Research. 24: 731-739.

25. 刘瑾, 邬建国*. 2008. 生物燃料的发展现状与前景. 生态学报. 28: 1339 -1353.