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Separating the Structural Components of Maize for Field Phenotyping Using Terrestrial LiDAR Data and Deep Convolutional Neural Networks 期刊论文
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2020, 卷号: 58, 期号: 4, 页码: 2644-2658
Authors:  Jin, Shichao;  Su, Yanjun;  Gao, Shang;  Wu, Fangfang;  Ma, Qin;  Xu, Kexin;  Hu, Tianyu;  Liu, Jin;  Pang, Shuxin;  Guan, Hongcan;  Zhang, Jing;  Guo, Qinghua
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Classification  deep learning  LiDAR  phenotype  segmentation  structural components  
A Point-Based Fully Convolutional Neural Network for Airborne LiDAR Ground Point Filtering in Forested Environments 期刊论文
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2020, 卷号: 13, 页码: 3958-3974
Authors:  Jin, Shichao;  Sun, Yanjun;  Zhao, Xiaoqian;  Hu, Tianyu;  Guo, Qinghua
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Digital terrain model (DTM)  deep learning  fully convolutional neural network (FCN)  ground filtering  light detection and ranging (LiDAR)  
Can more carbon be captured by grasslands? A case study of Inner Mongolia, China 期刊论文
SCIENCE OF THE TOTAL ENVIRONMENT, 2020, 卷号: 723
Authors:  Sha, Zongyao;  Bai, Yongfei;  Lan, Hai;  Liu, Xuefeng;  Li, Ruren;  Xie, Yichun
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Focal analysis  Grassland  Carbon sink  Carbon source  Geoinformatics  
Application of deep learning in ecological resource research: Theories, methods, and challenges 期刊论文
SCIENCE CHINA-EARTH SCIENCES, 2020, 卷号: 63, 期号: 10, 页码: 1457-1474
Authors:  Guo, Qinghua;  Jin, Shichao;  Li, Min;  Yang, Qiuli;  Xu, Kexin;  Ju, Yuanzhen;  Zhang, Jing;  Xuan, Jing;  Liu, Jin;  Su, Yanjun;  Xu, Qiang;  Liu, Yu
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Ecological resources  Deep learning  Neural network  Big data  Theory and tools  Application and challenge  
Stem-Leaf Segmentation and Phenotypic Trait Extraction of Individual Maize Using Terrestrial LiDAR Data 期刊论文
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2019, 卷号: 57, 期号: 3, 页码: 1336-1346
Authors:  Jin, Shichao;  Su, Yanjun;  Wu, Fangfang;  Pang, Shuxin;  Gao, Shang;  Hu, Tianyu;  Liu, Jin;  Guo, Qinghua
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Light detection and ranging (LiDAR)  phenotypic traits  regional growth  segmentation  skeleton  
The Influence of Vegetation Characteristics on Individual Tree Segmentation Methods with Airborne LiDAR Data 期刊论文
REMOTE SENSING, 2019, 卷号: 11, 期号: 23
Authors:  Yang, Qiuli;  Su, Yanjun;  Jin, Shichao;  Kelly, Maggi;  Hu, Tianyu;  Ma, Qin;  Li, Yumei;  Song, Shilin;  Zhang, Jing;  Xu, Guangcai;  Wei, Jianxin;  Guo, Qinghua
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individual segmentation method  leaf area index  canopy cover  tree density  coefficient of variation of tree height  
Ecosystem scale trade-off in nitrogen acquisition pathways 期刊论文
Nature Ecology & Evolution, 2018, 卷号: 2, 期号: 11, 页码: 1724-1734
Authors:  Meifeng ;  Deng;  Lingli ;  Liu&;  8202;  ;  Lin ;  Jiang&;  8202;  ;  Weixing ;  Liu;  Xin ;  Wang;  Shaopeng ;  Li;  Sen ;  Yang;  Bin ;  Wang
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Improved progressive TIN densification filtering algorithm for airborne LiDAR data in forested areas 期刊论文
ISPRS Journal of Photogrammetry and Remote Sensing, 2016, 卷号: 117, 页码: 79-91
Authors:  Xiaoqian Zhao;  Qinghua Guo;  Yanjun Su;  Baolin Xue
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Evolution of Asian Interior Arid-Zone Biota: Evidence from the Diversification of Asian Zygophyllum (Zygophyllaceae) 期刊论文
PLoS One, 2015, 卷号: 10, 期号: 9, 页码: e0138697
Authors:  Sheng-Dan Wu;  Li Lin;  Hong-Lei Li;  Sheng-Xiang Yu;  Lin-Jing Zhang;  Wei Wang
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Airborne Lidar-derived volume metrics for aboveground biomassestimation: A comparative assessment for conifer stands 期刊论文
AGRICULTURAL AND FOREST METEOROLOGY, 2014, 卷号: 198-199, 期号: -, 页码: 24-32
Authors:  Shengli Tao;  Qinghua Guo;  Le Li;  Baolin Xue;  Maggi Kelly;  Wenkai Li;  Guangcai Xu;  Yanjun Su
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