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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：13/0  |  提交时间：2024/03/07
Terrestrial LiDAR Phenotype  Organ segmentation  Convolutional neural networks  
Deciphering the contributions of spectral and structural data to wheat yield estimation from proximal sensing 期刊论文
CROP JOURNAL, 2022, 卷号: 10, 期号: 5, 页码: 1334-1345
作者:  Li, Qing;  Jin, Shichao;  Zang, Jingrong;  Wang, Xiao;  Sun, Zhuangzhuang;  Li, Ziyu;  Xu, Shan;  Ma, Qin;  Su, Yanjun;  Guo, Qinghua;  Jiang, Dong
Adobe PDF(3253Kb)  |  收藏  |  浏览/下载：12/0  |  提交时间：2024/03/07
LiDAR  Multispectral  Yield  Phenotype  Hyper-temporal  
Neural network guided interpolation for mapping canopy height of China's forests by integrating GEDI and ICESat-2 data 期刊论文
REMOTE SENSING OF ENVIRONMENT, 2022, 卷号: 269
作者:  Liu, Xiaoqiang;  Su, Yanjun;  Hu, Tianyu;  Yang, Qiuli;  Liu, Bingbing;  Deng, Yufei;  Tang, Hao;  Tang, Zhiyao;  Fang, Jingyun;  Guo, Qinghua
Adobe PDF(6152Kb)  |  收藏  |  浏览/下载：38/0  |  提交时间：2024/03/07
Forest canopy height  GEDI  ICESat-2 ATLAS  Lidar  Spatial interpolation  Deep neural network  
Loess Landslide Detection Using Object Detection Algorithms in Northwest China 期刊论文
REMOTE SENSING, 2022, 卷号: 14, 期号: 5
作者:  Ju, Yuanzhen;  Xu, Qiang;  Jin, Shichao;  Li, Weile;  Su, Yanjun;  Dong, Xiujun;  Guo, Qinghua
Adobe PDF(11451Kb)  |  收藏  |  浏览/下载：17/0  |  提交时间：2024/03/07
loess landslide  google earth image  deep learning  automatic identification  object detection  
A novel entropy-based method to quantify forest canopy structural complexity from multiplatform lidar point clouds 期刊论文
REMOTE SENSING OF ENVIRONMENT, 2022, 卷号: 282
作者:  Liu, Xiaoqiang;  Ma, Qin;  Wu, Xiaoyong;  Hu, Tianyu;  Liu, Zhonghua;  Liu, Lingli;  Guo, Qinghua;  Su, Yanjun
Adobe PDF(11200Kb)  |  收藏  |  浏览/下载：18/0  |  提交时间：2024/03/07
Forest canopy structural complexity  Entropy  Multiplatform lidar point clouds  Mann-Kendall test  Kernel density estimation  
Allometry-based estimation of forest aboveground biomass combining LiDAR canopy height attributes and optical spectral indexes 期刊论文
FOREST ECOSYSTEMS, 2022, 卷号: 9
作者:  Yang, Qiuli;  Su, Yanjun;  Hu, Tianyu;  Jin, Shichao;  Liu, Xiaoqiang;  Niu, Chunyue;  Liu, Zhonghua;  Kelly, Maggi;  Wei, Jianxin;  Guo, Qinghua
Adobe PDF(4150Kb)  |  收藏  |  浏览/下载：19/0  |  提交时间：2024/03/07
Forest aboveground biomass  Drone LiDAR  Allometric relationship  Power law  Tree height  Vegetation index  
Development and Performance Evaluation of a Very Low-Cost UAV-Lidar System for Forestry Applications 期刊论文
REMOTE SENSING, 2021, 卷号: 13, 期号: 1
作者:  Hu, Tianyu;  Sun, Xiliang;  Su, Yanjun;  Guan, Hongcan;  Sun, Qianhui;  Kelly, Maggi;  Guo, Qinghua
Adobe PDF(8953Kb)  |  收藏  |  浏览/下载：89/0  |  提交时间：2023/02/24
unmanned aerial vehicle (UAV)  lidar  DJI Livox  low cost  forest inventory  
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：84/0  |  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  
Lidar Boosts 3D Ecological Observations and Modelings: A Review and Perspective 期刊论文
IEEE GEOSCIENCE AND REMOTE SENSING MAGAZINE, 2021, 卷号: 9, 期号: 1, 页码: 232-257
作者:  Guo, Qinghua;  Su, Yanjun;  Hu, Tianyu;  Guan, Hongcan;  Jin, Shichao;  Zhang, Jing;  Zhao, Xiaoxia;  Xu, Kexin;  Wei, Dengjie;  Kelly, Maggi;  Coops, Nicholas C.
Adobe PDF(2353Kb)  |  收藏  |  浏览/下载：303/0  |  提交时间：2023/02/24
Laser radar  Vegetation mapping  Three-dimensional displays  Surface emitting lasers  Optical sensors  Ecosystems  Optical reflection  
Leaf to panicle ratio (LPR): a new physiological trait indicative of source and sink relation in japonica rice based on deep learning 期刊论文
PLANT METHODS, 2020, 卷号: 16, 期号: 1
作者:  Yang, Zongfeng;  Gao, Shang;  Xiao, Feng;  Li, Ganghua;  Ding, Yangfeng;  Guo, Qinghua;  Paul, Matthew J.;  Liu, Zhenghui
Adobe PDF(4429Kb)  |  收藏  |  浏览/下载：97/0  |  提交时间：2022/03/01
Plant phenotyping  Leaf and panicle detection  Deep learning  Physiological trait  Leaf to panicle ratio (LPR)  Japonica rice