生态遥感

   

071300-生态学

生态遥感

2008-09--2014-07   中国科学院植物研究所   博士
2004-09--2008-07   中国农业大学   学士

   

2022-03~现在, 中国科学院植物研究所, 副研究员
2017-07~2022-02,中国科学院植物研究所, 助理研究员
2014-09~2017-07,中国科学院植物研究所, 博士后

植被生态与遥感应用

   

[1] 王舶鉴, 蔺菲, 房帅, 王宁宁, 胡天宇, 任海保, 米湘成, 林露湘, 原作强, 王绪高, 郝占庆. 近地面激光雷达点云密度对森林冠层结构参数提取准确性的影响. 生态学报[J]. 2023, 43(2): 681-692, http://lib.cqvip.com/Qikan/Article/Detail?id=00002FCFK9987JP0MJDO7JP169R.
[2] 刘兵兵, 魏建新, 胡天宇, 杨秋丽, 刘小强, 吴发云, 苏艳军, 郭庆华. 卫星遥感监测产品在中国森林生态系统的验证和不确定性分析——基于海量无人机激光雷达数据. 植物生态学报[J]. 2022, 46(10): 1305-1316, http://lib.cqvip.com/Qikan/Article/Detail?id=7108935935.
[3] 任淯, 陶胜利, 胡天宇, 杨海涛, 关宏灿, 苏艳军, 程凯, 陈梦玺, 万华伟, 郭庆华. 中国生物多样性核心监测指标遥感产品体系构建与思考. 生物多样性[J]. 2022, 30(10): 256-271, http://lib.cqvip.com/Qikan/Article/Detail?id=7108625101.
[4] 郭庆华, 胡天宇, 刘瑾, 金时超, 肖青, 杨贵军, 高显连, 许强, 谢品华, 彭炽刚, 闫利. 轻小型无人机遥感及其行业应用进展. 地理科学进展[J]. 2021, 40(9): 1550-1569, http://lib.cqvip.com/Qikan/Article/Detail?id=7105807979.
[5] 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[J]. 2021, 51(3): 229-241, https://www.sciengine.com/doi/10.1360/SSV-2019-0283.
[6] Chen, Leiyi, Fang, Kai, Wei, Bin, Qin, Shuqi, Feng, Xuehui, Hu, Tianyu, Ji, Chengjun, Yang, Yuanhe. Soil carbon persistence governed by plant input and mineral protection at regional and global scales. ECOLOGY LETTERS[J]. 2021, 24(5): 1018-1028, https://www.webofscience.com/wos/woscc/full-record/WOS:000627557100001.
[7] Tianyu Hu, Xiliang Sun, Yanjun Su, Hongcan Guan, Qianhui Sun, Maggi Kelly, Qinghua Guo. Development and Performance Evaluation of a Very Low-Cost UAV-Lidar System for Forestry Applications. REMOTE SENSING[J]. 2021, 13(1): https://www.webofscience.com/wos/woscc/full-record/WOS:000606160400001.
[8] 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[J]. 2021, 51(3): 362-374, https://www.sciengine.com/doi/10.1360/SSV-2020-0209.
[9] 王乐, 董雷, 胡天宇, 郭柯. 中国植被图编研历史与展望. 中国科学:生命科学[J]. 2021, 51(3): 219-228, https://www.sciengine.com/doi/10.1360/SSV-2020-0184.
[10] Guan, Hongcan, Sun, Xiliang, Su, Yanjun, Hu, Tianyu, Wang, Haitao, Wang, Heping, Peng, Chigang, Guo, Qinghua. UAV-lidar aids automatic intelligent powerline inspection. INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS[J]. 2021, 130: http://dx.doi.org/10.1016/j.ijepes.2021.106987.
[11] Guo, Qinghua, Su, Yanjun, Hu, Tianyu, Guan, Hongcan, Jin, Shichao, Zhang, Jing, Zhao, Xiaoxia, Xu, Kexin, Wei, Dengjie, Kelly, Maggi, Coops, Nicholas C. Lidar Boosts 3D Ecological Observations and Modelings: A Review and Perspective. IEEE GEOSCIENCE AND REMOTE SENSING MAGAZINE[J]. 2021, 9(1): 232-257, http://dx.doi.org/10.1109/MGRS.2020.3032713.
[12] 李玉美, 郭庆华, 万波, 秦宏楠, 王德智, 徐可心, 宋师琳, 孙千惠, 赵晓霞, 杨默含, 吴晓永, 魏邓杰, 胡天宇, 苏艳军. 基于激光雷达的自然资源三维动态监测现状与展望. 遥感学报[J]. 2021, 25(1): 381-402, https://kns.cnki.net/KCMS/detail/detail.aspx?dbcode=CJFQ&dbname=CJFDLAST2021&filename=YGXB202101026&v=MjUyNzhSOGVYMUx1eFlTN0RoMVQzcVRyV00xRnJDVVI3dWZZZWRuRnlEa1dyM0lQQ3JUYkxHNEhORE1ybzlIWW8=.
[13] 赵广帅, 刘珉, 崔嵬, 胡天宇. “森林质量精准提升工程”立体监测平台建设. 林业和草原机械[J]. 2020, 1(2): 26-30, https://kns.cnki.net/KCMS/detail/detail.aspx?dbcode=CJFQ&dbname=CJFDLAST2020&filename=MCJG202002007&v=MjE1NTk4ZVgxTHV4WVM3RGgxVDNxVHJXTTFGckNVUjdxZVp1ZHVGeS9rVnI3SktDN0JhYkc0SE5ITXJZOUZZNFI=.
[14] 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[J]. 2020, 65(13): 1125-1136, https://www.sciengine.com/doi/10.1016/j.scib.2020.04.004.
[15] Dai, Jingyu, Liu, Hongyan, Wang, Yongcai, Guo, Qinghua, Hu, Tianyu, Quine, Timothy, Green, Sophie, Hartmann, Henrik, Xu, Chongyang, Liu, Xu, Jiang, Zihan. Drought-modulated allometric patterns of trees in semi-arid forests. COMMUNICATIONS BIOLOGY[J]. 2020, 3(1): https://doaj.org/article/e4ab1179ccbf424e9877439f0654ba1e.
[16] Xu, Kexin, Su, Yanjun, Liu, Jin, Hu, Tianyu, Jin, Shichao, Ma, Qin, Zhai, Qiuping, Wang, Rui, Zhang, Jing, Li, Yumei, Liu, Hongyan, Guo, Qinghua. Estimation of degraded grassland aboveground biomass using machine learning methods from terrestrial laser scanning data. ECOLOGICAL INDICATORS[J]. 2020, 108: http://dx.doi.org/10.1016/j.ecolind.2019.105747.
[17] 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[J]. 2020, 13: 3958-3974, http://dx.doi.org/10.1109/JSTARS.2020.3008477.
[18] 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[J]. 2020, 125(2): http://dx.doi.org/10.1029/2019JG005306.
[19] Li, Yumei, Su, Yanjun, Zhao, Xiaoxia, Yang, Mohan, Hu, Tianyu, Zhang, Jing, Liu, Jin, Liu, Min, Guo, Qinghua. Retrieval of tree branch architecture attributes from terrestrial laser scan data using a Laplacian algorithm. AGRICULTURAL AND FOREST METEOROLOGY[J]. 2020, 284: http://dx.doi.org/10.1016/j.agrformet.2019.107874.
[20] Guan, Hongcan, Su, Yanjun, Hu, Tianyu, Wang, Rui, Ma, Qin, Yang, Qiuli, Sun, Xiliang, Li, Yumei, Jin, Shichao, Zhang, Jing, Liu, Min, Wu, Fayun, Guo, Qinghua. A Novel Framework to Automatically Fuse Multiplatform LiDAR Data in Forest Environments Based on Tree Locations. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING[J]. 2020, 58(3): 2165-2177, http://dx.doi.org/10.1109/TGRS.2019.2953654.
[21] 郭庆华, 胡天宇, 马勤, 徐可心, 杨秋丽, 孙千惠, 李玉美, 苏艳军. 新一代遥感技术助力生态系统生态学研究. 植物生态学报[J]. 2020, 44(4): 418-435, https://kns.cnki.net/KCMS/detail/detail.aspx?dbcode=CJFQ&dbname=CJFDLAST2020&filename=ZWSB202004013&v=MTEwOTlCUHpyWWJMRzRITkhNcTQ5RVo0UjhlWDFMdXhZUzdEaDFUM3FUcldNMUZyQ1VSN3VmWnVackZ5cmhXN3Y=.
[22] 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[J]. 2020, 12(10): https://doaj.org/article/78806fd3414445eea07f8c4da5c2b9bd.
[23] Jin, Shichao, Su, Yanjun, Song, Shilin, Xu, Kexin, Hu, Tianyu, Yang, Qiuli, Wu, Fangfang, Xu, Guangcai, Ma, Qin, Guan, Hongcan, Pang, Shuxin, Li, Yumei, Guo, Qinghua. Non-destructive estimation of field maize biomass using terrestrial lidar: an evaluation from plot level to individual leaf level. PLANT METHODS[J]. 2020, 16(1): https://doaj.org/article/5679f8fd4d5149d18ae4568e1ae96090.
[24] Jin, Shichao, Su, Yanjun, Gao, Shang, Wu, Fangfang, Ma, Qin, Xu, Kexin, Hu, Tianyu, Liu, Jin, Pang, Shuxin, Guan, Hongcan, Zhang, Jing, Guo, Qinghua. 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[J]. 2020, 58(4): 2644-2658, http://dx.doi.org/10.1109/TGRS.2019.2953092.
[25] Hu, Tianyu, Ma, Qin, Su, Yanjun, Battles, John J, Collins, Brandon M, Stephens, Scott L, Kelly, Maggi, Guo, Qinghua. A simple and integrated approach for fire severity assessment using bi-temporal airborne LiDAR data. INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION[J]. 2019, 78: 25-38, http://dx.doi.org/10.1016/j.jag.2019.01.007.
[26] Jin, Shichao, Su, Yanjun, Wu, Fangfang, Pang, Shuxin, Gao, Shang, Hu, Tianyu, Liu, Jin, Guo, Qinghua. Stem-Leaf Segmentation and Phenotypic Trait Extraction of Individual Maize Using Terrestrial LiDAR Data. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING[J]. 2019, 57(3): 1336-1346, https://www.webofscience.com/wos/woscc/full-record/WOS:000460321300009.
[27] Guan, Hongcan, Su, Yanjun, Hu, Tianyu, Chen, Jin, Guo, Qinghua. An Object-Based Strategy for Improving the Accuracy of Spatiotemporal Satellite Imagery Fusion for Vegetation-Mapping Applications. REMOTE SENSING[J]. 2019, 11(24): http://apps.webofknowledge.com/CitedFullRecord.do?product=UA&colName=WOS&SID=5CCFccWmJJRAuMzNPjj&search_mode=CitedFullRecord&isickref=WOS:000507333400043.
[28] 张菁, 孙千惠, 叶震, 杨默含, 赵晓霞, 巨袁臻, 胡天宇, 郭庆华. 生态遥感新锐——轻小型无人机的应用. 热带地理[J]. 2019, 39(4): 604-615, http://lib.cqvip.com/Qikan/Article/Detail?id=7002524279.
[29] Yang, Qiuli, Su, Yanjun, Jin, Shichao, Kelly, Maggi, Hu, Tianyu, Ma, Qin, Li, Yumei, Song, Shilin, Zhang, Jing, Xu, Guangcai, Wei, Jianxin, Guo, Qinghua. The Influence of Vegetation Characteristics on Individual Tree Segmentation Methods with Airborne LiDAR Data. REMOTE SENSING[J]. 2019, 11(23): http://apps.webofknowledge.com/CitedFullRecord.do?product=UA&colName=WOS&SID=5CCFccWmJJRAuMzNPjj&search_mode=CitedFullRecord&isickref=WOS:000508382100161.
[30] Zhao, Xiaoqian, Su, Yanjun, Hu, Tianyu, Chen, Linhai, Gao, Shang, Wang, Rui, Jin, Shichao, Guo, Qinghua. A global corrected SRTM DEM product for vegetated areas. REMOTE SENSING LETTERS[J]. 2018, 9(4): 393-402, http://dx.doi.org/10.1080/2150704X.2018.1425560.
[31] 胡天宇, 王宁宁, 赵晓倩, 米湘成, 郭庆华, 马克平. 生物多样性监测网络建设进展. 遥感学报[J]. 2018, 22(4): 709-712, http://lib.cqvip.com/Qikan/Article/Detail?id=675745385.
[32] Zhao, Xiaoqian, Su, Yanjun, Li, WenKai, Hu, Tianyu, Liu, Jin, Guo, Qinghua. A Comparison of LiDAR Filtering Algorithms in Vegetated Mountain Areas. CANADIAN JOURNAL OF REMOTE SENSING[J]. 2018, 44(4): 287-298, https://www.webofscience.com/wos/woscc/full-record/WOS:000461864500003.
[33] 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. 遥感在生物多样性研究中的应用进展. 生物多样性[J]. 2018, 26(8): 789-806, http://lib.cqvip.com/Qikan/Article/Detail?id=676343068.
[34] Jin, Shichao, Su, Yanjun, Gao, Shang, Wu, Fangfang, Hu, Tianyu, Liu, Jin, Li, Wenkai, Wang, Dingchang, Chen, Shaojiang, Jiang, Yuanxi, Pang, Shuxin, Guo, Qinghua. Deep Learning: Individual Maize Segmentation From Terrestrial Lidar Data Using Faster R-CNN and Regional Growth Algorithms. FRONTIERS IN PLANT SCIENCE[J]. 2018, 9: https://doaj.org/article/a60b103385344359a632e2f1de0e541d.
[35] Li, Yumei, Su, Yanjun, Hu, Tianyu, Xu, Guangcai, Guo, Qinghua. Retrieving 2-D Leaf Angle Distributions for Deciduous Trees From Terrestrial Laser Scanner Data. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING[J]. 2018, 56(8): 4945-4955, https://www.webofscience.com/wos/woscc/full-record/WOS:000439980200050.
[36] Shichao Jin, Yanjun Su, Shang Gao, Tianyu Hu, Jin Liu, Qinghua Guo. The Transferability of Random Forest in Canopy Height Estimation from Multi-Source Remote Sensing Data. REMOTE SENSING[J]. 2018, 10(8): https://doaj.org/article/24263389d5554bfb9af3ac9d7db918e6.
[37] Xue, BaoLin, Guo, Qinghua, Hu, Tianyu, Wang, Guoqiang, Wang, Yongcai, Tao, Shengli, Su, Yanjun, Liu, Jin, Zhao, Xiaoqian. Evaluation of modeled global vegetation carbon dynamics: Analysis based on global carbon flux and above-ground biomass data. ECOLOGICAL MODELLING[J]. 2017, 355: 84-96, http://dx.doi.org/10.1016/j.ecolmodel.2017.04.012.
[38] Xue, BaoLin, Guo, Qinghua, Hu, Tianyu, Xiao, Jingfeng, Yang, Yuanhe, Wang, Guoqiang, Tao, Shengli, Su, Yanjun, Liu, Jin, Zhao, Xiaoqian. Global patterns of woody residence time and its influence on model simulation of aboveground biomass. GLOBAL BIOGEOCHEMICAL CYCLES[J]. 2017, 31(5): 821-835, http://ir.ibcas.ac.cn/handle/2S10CLM1/14820.
[39] 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. An integrated UAV-borne lidar system for 3D habitat mapping in three forest ecosystems across China. INTERNATIONAL JOURNAL OF REMOTE SENSING[J]. 2017, 38(8-10): 2954-2972, http://dx.doi.org/10.1080/01431161.2017.1285083.
[40] Hu, Tianyu, Su, Yanjun, Xue, Baolin, Liu, Jin, Zhao, Xiaoqian, Fang, Jingyun, Guo, Qinghua. Mapping Global Forest Aboveground Biomass with Spaceborne LiDAR, Optical Imagery, and Forest Inventory Data. REMOTE SENSING[J]. 2016, 8(7): https://doaj.org/article/0b27a56f21d34084897c743030bb78fa.
[41] Su, Yanjun, Guo, Qinghua, Xue, Baolin, Hu, Tianyu, Alvarez, Otto, Tao, Shengli, Fang, Jingyun. Spatial distribution of forest aboveground biomass in China: Estimation through combination of spaceborne lidar, optical imagery, and forest inventory data. REMOTE SENSING OF ENVIRONMENT[J]. 2016, 173(2): 187-199, http://ir.ibcas.ac.cn/handle/2S10CLM1/13551.
[42] Xue, BaoLin, Guo, Qinghua, Gong, Yongwei, Hu, Tianyu, Liu, Jin, Ohta, Takeshi. The influence of meteorology and phenology on net ecosystem exchange in an eastern Siberian boreal larch forest. JOURNAL OF PLANT ECOLOGY[J]. 2016, 9(5): 520-530, [43] Jingyun Fang, Yanjun Su, Qinghua Guo, Baolin Xue, Tianyu Hu, Otto Alvarez, Shengli Tao. biomass in China: estimation through combination of spaceborne lidar, optical imagery, and forest inventory data. REMOTE SENSING OF ENVIRONMENT[J]. 2016, 173: 187-199, http://ir.ibcas.ac.cn/handle/2S10CLM1/17286.
[44] 郭庆华, 吴芳芳, 胡天宇, 陈琳海, 刘瑾, 赵晓倩, 高上, 庞树鑫. 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[J]. 2016, 24(11): 1267-1278, http://lib.cqvip.com/Qikan/Article/Detail?id=670784086.
[45] 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. 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[J]. 2016, 24(11): 1249-1266, [46] Su, Yanjun, Guo, Qinghua, Collins, Brandon M, Fry, Danny L, Hu, Tianyu, Kelly, Maggi. 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[J]. 2016, 37(14): 3322-3345, https://www.webofscience.com/wos/woscc/full-record/WOS:000379952400008.
[47] 贾丙瑞, 周广胜, 蒋延玲, 王宇, 殷晓洁, 胡天宇. 寒温针叶林土壤呼吸作用的时空特征. 生态学报[J]. 2013, 33(23): 7516-7524, https://d.wanfangdata.com.cn/periodical/stxb201323022.
[48] 胡天宇, 周广胜, 贾丙瑞. 大兴安岭林区10小时时滞可燃物湿度的模拟. 生态学报[J]. 2012, 32(22): 6984-6990, http://ir.ibcas.ac.cn/handle/2S10CLM1/17133.

（1） 激光雷达森林生态应用：理论、方法及实例, 高等教育出版社, 2018-02, 第 3 作者

   

（ 1 ） 基于无人机近地面遥感的红松种群空间格局分析, 主持, 国家级, 2020-01--2022-12