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Automatic segmentation of stem and leaf components and individual maize plants in field terrestrial LiDAR data using convolutional neural networks 期刊论文
CROP JOURNAL, 2022, 卷号: 10, 期号: 5, 页码: 1239-1250
作者:  Ao, Zurui;  Wu, Fangfang;  Hu, Saihan;  Sun, Ying;  Guo, Yanjun;  Guo, Qinghua;  Xin, Qinchuan
Adobe PDF(2926Kb)  |  收藏  |  浏览/下载：10/0  |  提交时间：2024/03/07
Terrestrial LiDAR Phenotype  Organ segmentation  Convolutional neural networks  
The Development and Evaluation of a Backpack LiDAR System for Accurate and Efficient Forest Inventory 期刊论文
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 2021, 卷号: 18, 期号: 9, 页码: 1660-1664
作者:  Su, Yanjun;  Guo, Qinghua;  Jin, Shichao;  Guan, Hongcan;  Sun, Xiliang;  Ma, Qin;  Hu, Tianyu;  Wang, Rui;  Li, Yumei
Adobe PDF(3333Kb)  |  收藏  |  浏览/下载：76/0  |  提交时间：2023/02/24
Backpack light detection and ranging (LiDAR) system  diameter at breast height (DBH)  forest inventory  leaf area density (LAD)  simultaneous localization and mapping (SLAM)  terrestrial laser scanning (TLS)  tree height  
Non-destructive estimation of field maize biomass using terrestrial lidar: an evaluation from plot level to individual leaf level 期刊论文
PLANT METHODS, 2020, 卷号: 16, 期号: 1
作者:  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
Adobe PDF(4774Kb)  |  收藏  |  浏览/下载：88/0  |  提交时间：2022/03/01
Biomass  Phenotype  Machine learning  Terrestrial lidar  Precision agriculture  
Segmenting tree crowns from terrestrial and mobile LiDAR data by exploring ecological theories 期刊论文
ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING, 2015, 卷号: 110, 页码: 66-76
作者:  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
Adobe PDF(3556Kb)  |  收藏  |  浏览/下载：75/0  |  提交时间：2022/09/13
Terrestrial LiDAR  Segmentation  Shortest path  Mobile LiDAR  Metabolic ecology theory  DBSCAN  
Lidar with multi-temporal MODIS provide a means to upscale predictions of forest biomass 期刊论文
ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING, 2015, 卷号: 102, 页码: 198-208
作者:  Li, Le;  Guo, Qinghua;  Tao, Shengli;  Kelly, Maggi;  Xu, Guangcai
Adobe PDF(3348Kb)  |  收藏  |  浏览/下载：74/0  |  提交时间：2022/09/13
Lidar  Forest biomass  MODIS  Terrestrial  Scale