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] 胡天宇, 杨秋丽, 苏艳军. 一种基于异速生长的森林地上生物量快速估算系统及方法. CN: CN117523391A, 2024-02-06.
[2] 苏艳军, 刘小强, 胡天宇, 庞树鑫, 马勤, 吴晓永, 杨秋丽. 生成空间连续冠层高度产品的深度学习指导空间插值方法. CN: CN115953300A, 2023-04-11.

   

[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, 第 5 作者43(2): 681-692, http://lib.cqvip.com/Qikan/Article/Detail?id=00002FCFK9987JP0MJDO7JP169R.
[2] ISPRS Journal of Photogrammetry and Remote Sensing. 2022, 第 1 作者
[3] Journal of Ecology. 2022,   通讯作者  
[4] 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, 第 3 作者46(10): 1305-1316, http://lib.cqvip.com/Qikan/Article/Detail?id=7108935935.
[5] 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, 第 3 作者30(10): 256-271, https://www.biodiversity-science.net/CN/10.17520/biods.2022530.
[6] 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, 第 2 作者40(9): 1550-1569, https://www.progressingeography.com/CN/10.18306/dlkxjz.2021.09.010.
[7] 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, 第 3 作者51(3): 229-241, https://www.sciengine.com/doi/10.1360/SSV-2019-0283.
[8] 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, 第 6 作者24(5): 1018-1028, https://www.webofscience.com/wos/woscc/full-record/WOS:000627557100001.
[9] Hu, Tianyu, Sun, Xiliang, Su, Yanjun, Guan, Hongcan, Sun, Qianhui, Kelly, Maggi, Guo, Qinghua. Development and Performance Evaluation of a Very Low-Cost UAV-Lidar System for Forestry Applications. REMOTE SENSING[J]. 2021, 第 1 作者13(1): http://dx.doi.org/10.3390/rs13010077.
[10] 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, 第 2 作者51(3): 362-374, https://www.sciengine.com/doi/10.1360/SSV-2020-0209.
[11] 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, 第 3 作者51(3): 219-228, https://www.sciengine.com/doi/10.1360/SSV-2020-0184.
[12] 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, 第 4 作者130: https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000647654800016&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=3a85505900f77cc629623c3f2907beab.
[13] 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, 第 3 作者9(1): 232-257, https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000641764700012&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=3a85505900f77cc629623c3f2907beab.
[14] 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, 第 13 作者25(1): 381-402, https://kns.cnki.net/KCMS/detail/detail.aspx?dbcode=CJFQ&dbname=CJFDLAST2021&filename=YGXB202101026&v=MjUyNzhSOGVYMUx1eFlTN0RoMVQzcVRyV00xRnJDVVI3dWZZZWRuRnlEa1dyM0lQQ3JUYkxHNEhORE1ybzlIWW8=.
[15] 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, 第 4 作者1(2): 26-30, https://kns.cnki.net/KCMS/detail/detail.aspx?dbcode=CJFQ&dbname=CJFDLAST2020&filename=MCJG202002007&v=MjE1NTk4ZVgxTHV4WVM3RGgxVDNxVHJXTTFGckNVUjdxZVp1ZHVGeS9rVnI3SktDN0JhYkc0SE5ITXJZOUZZNFI=.
[16] Yanjun Su, Qinghua Guo, Tianyu Hu, Hongcan Guan, Shichao Jin, Shazhou An, Xuelin Chen, Ke Guo, Zhanqing Hao, Yuanman Hu, Yongmei Huang, Mingxi Jiang, Jiaxiang Li, Zhenji Li, Xiankun Li, Xiaowei Li, Cunzhu Liang, Renlin Liu, Qing Liu, Hongwei Ni, Shaolin Peng, Zehao Shen, Zhiyao Tang, Xingjun Tian, Xihua Wang, Renqing Wang, Zongqiang Xie, Yingzhong Xie, Xiaoniu Xu, Xiaobo Yang, Yongchuan Yang, Lifei Yu, Ming Yue, Feng Zhang, Keping Ma. An updated Vegetation Map of China (1:1000000). Science Bulletin[J]. 2020, 第 3 作者65(13): 1125-1136, https://www.sciengine.com/doi/10.1016/j.scib.2020.04.004.
[17] 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, 第 5 作者3(1): https://doaj.org/article/e4ab1179ccbf424e9877439f0654ba1e.
[18] 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, 第 4 作者108: http://dx.doi.org/10.1016/j.ecolind.2019.105747.
[19] 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, 第 4 作者13: 3958-3974, http://dx.doi.org/10.1109/JSTARS.2020.3008477.
[20] 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, 第 2 作者125(2): http://dx.doi.org/10.1029/2019JG005306.
[21] 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, 第 5 作者284: http://dx.doi.org/10.1016/j.agrformet.2019.107874.
[22] 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, 第 3 作者58(3): 2165-2177, http://dx.doi.org/10.1109/TGRS.2019.2953654.
[23] 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, 第 2 作者44(4): 418-435, https://kns.cnki.net/KCMS/detail/detail.aspx?dbcode=CJFQ&dbname=CJFDLAST2020&filename=ZWSB202004013&v=MTEwOTlCUHpyWWJMRzRITkhNcTQ5RVo0UjhlWDFMdXhZUzdEaDFUM3FUcldNMUZyQ1VSN3VmWnVackZ5cmhXN3Y=.
[24] 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, 第 1 作者12(10): https://doaj.org/article/78806fd3414445eea07f8c4da5c2b9bd.
[25] 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, 第 5 作者16(1): https://doaj.org/article/5679f8fd4d5149d18ae4568e1ae96090.
[26] 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, 第 7 作者58(4): 2644-2658, http://dx.doi.org/10.1109/TGRS.2019.2953092.
[27] 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, 第 1 作者78: 25-38, http://dx.doi.org/10.1016/j.jag.2019.01.007.
[28] 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, 第 6 作者57(3): 1336-1346, https://www.webofscience.com/wos/woscc/full-record/WOS:000460321300009.
[29] 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, 第 3 作者11(24): http://apps.webofknowledge.com/CitedFullRecord.do?product=UA&colName=WOS&SID=5CCFccWmJJRAuMzNPjj&search_mode=CitedFullRecord&isickref=WOS:000507333400043.
[30] 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, https://www.rddl.com.cn/CN/10.13284/j.cnki.rddl.003154.
[31] 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, 第 5 作者11(23): http://apps.webofknowledge.com/CitedFullRecord.do?product=UA&colName=WOS&SID=5CCFccWmJJRAuMzNPjj&search_mode=CitedFullRecord&isickref=WOS:000508382100161.
[32] 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, 第 3 作者9(4): 393-402, http://dx.doi.org/10.1080/2150704X.2018.1425560.
[33] 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, 第 1 作者22(4): 709-712, http://lib.cqvip.com/Qikan/Article/Detail?id=675745385.
[34] 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, 第 4 作者44(4): 287-298, https://www.webofscience.com/wos/woscc/full-record/WOS:000461864500003.
[35] 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, 第 2 作者26(8): 789-806, https://www.biodiversity-science.net/CN/10.17520/biods.2018054.
[36] 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, 第 5 作者9: https://doaj.org/article/a60b103385344359a632e2f1de0e541d.
[37] 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, 第 3 作者56(8): 4945-4955, https://www.webofscience.com/wos/woscc/full-record/WOS:000439980200050.
[38] 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, 第 4 作者10(8): https://doaj.org/article/24263389d5554bfb9af3ac9d7db918e6.
[39] 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, 第 3 作者355: 84-96, http://dx.doi.org/10.1016/j.ecolmodel.2017.04.012.
[40] 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, 第 3 作者31(5): 821-835, http://ir.ibcas.ac.cn/handle/2S10CLM1/14820.
[41] 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, 第 3 作者38(8-10): 2954-2972, http://dx.doi.org/10.1080/01431161.2017.1285083.
[42] 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, 第 1 作者8(7): https://doaj.org/article/0b27a56f21d34084897c743030bb78fa.
[43] 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, 第 4 作者173(2): 187-199, http://ir.ibcas.ac.cn/handle/2S10CLM1/13551.
[44] 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, 第 4 作者9(5): 520-530, 
[45] 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, 第 5 作者173: 187-199, http://ir.ibcas.ac.cn/handle/2S10CLM1/17286.
[46] 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, 第 3 作者24(11): 1267-1278, https://www.biodiversity-science.net/CN/10.17520/biods.2016105.
[47] 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, 第 7 作者24(11): 1249-1266, https://www.biodiversity-science.net/CN/10.17520/biods.2016059.
[48] 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, 第 5 作者37(14): 3322-3345, https://www.webofscience.com/wos/woscc/full-record/WOS:000379952400008.
[49] 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, 第 6 作者33(23): 7516-7524, https://www.ecologica.cn/stxb/article/abstract/stxb201208221184?st=article_issue.
[50] 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, 第 1 作者32(22): 6984-6990, https://www.ecologica.cn/stxb/article/abstract/stxb201110141517?st=article_issue.

（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