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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：33/0  |  提交时间：2024/03/07
Forest canopy height  GEDI  ICESat-2 ATLAS  Lidar  Spatial interpolation  Deep neural network  
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：13/0  |  提交时间：2024/03/07
Forest canopy structural complexity  Entropy  Multiplatform lidar point clouds  Mann-Kendall test  Kernel density estimation  
Analysis of UAV lidar information loss and its influence on the estimation accuracy of structural and functional traits in a meadow steppe 期刊论文
ECOLOGICAL INDICATORS, 2022, 卷号: 135
作者:  Zhao, Xiaoxia;  Su, Yanjun;  Hu, Tianyu;  Cao, Mengqi;  Liu, Xiaoqiang;  Yang, Qiuli;  Guan, Hongcan;  Liu, Lingli;  Guo, Qinghua
Adobe PDF(9269Kb)  |  收藏  |  浏览/下载：16/0  |  提交时间：2024/03/07
UAV lidar  Information loss  TLS  Structural trait  Functional trait  
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  
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
作者:  Jin, Shichao;  Su, Yanjun;  Gao, Shang;  Wu, Fangfang;  Ma, Qin;  Xu, Kexin;  Hu, Tianyu;  Liu, Jin;  Pang, Shuxin;  Guan, Hongcan;  Zhang, Jing;  Guo, Qinghua
Adobe PDF(14928Kb)  |  收藏  |  浏览/下载：130/0  |  提交时间：2022/03/01
Classification  deep learning  LiDAR  phenotype  segmentation  structural components  
A Novel Framework to Automatically Fuse Multiplatform LiDAR Data in Forest Environments Based on Tree Locations 期刊论文
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2020, 卷号: 58, 期号: 3, 页码: 2165-2177
作者:  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
Adobe PDF(12335Kb)  |  收藏  |  浏览/下载：105/0  |  提交时间：2022/03/01
Vegetation  Laser radar  Forestry  Tin  Three-dimensional displays  Unmanned aerial vehicles  Registers  Forest  multiplatform light detection and ranging (LiDAR)  registration  tree location  
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  
Large-Scale Geographical Variations and Climatic Controls on Crown Architecture Traits 期刊论文
JOURNAL OF GEOPHYSICAL RESEARCH-BIOGEOSCIENCES, 2020, 卷号: 125, 期号: 2
作者:  Su, Yanjun;  Hu, Tianyu;  Wang, Yongcai;  Li, Yumei;  Dai, Jingyu;  Liu, Hongyan;  Jin, Shichao;  Ma, Qin;  Wu, Jin;  Liu, Lingli;  Fang, Jingyun;  Guo, Qinghua
Adobe PDF(35082Kb)  |  收藏  |  浏览/下载：81/0  |  提交时间：2022/03/01
crown architecture  terrestrial laser scanning  climate variations  coordination  
Estimation of degraded grassland aboveground biomass using machine learning methods from terrestrial laser scanning data 期刊论文
ECOLOGICAL INDICATORS, 2020, 卷号: 108
作者:  Xu, Kexin;  Su, Yanjun;  Liu, Jin;  Hu, Tianyu;  Jin, Shichao;  Ma, Qin;  Zhai, Qiuping;  Wang, Rui;  Zhang, Jing;  Li, Yumei;  Liu, Hon An;  Guo, Qinghua
Adobe PDF(4794Kb)  |  收藏  |  浏览/下载：92/0  |  提交时间：2022/03/01
Aboveground biomass (AGB)  Degraded grassland  Machine learning  Northern agro-pastoral ecotone  Terrestrial laser scanning (TLS)  
Retrieval of tree branch architecture attributes from terrestrial laser scan data using a Laplacian algorithm 期刊论文
AGRICULTURAL AND FOREST METEOROLOGY, 2020, 卷号: 284
作者:  Li, Yumei;  Su, Yanjun;  Zhao, Xiaoxia;  Yang, Mohan;  Hu, Tianyu;  Zhang, Jing;  Liu, Jin;  Liu, Min;  Guo, Qinghua
Adobe PDF(4327Kb)  |  收藏  |  浏览/下载：105/0  |  提交时间：2022/03/01
Trunk architecture  Laplacian algorithm  Dijkstra algorithm  Terrestrial laser scan data  Simulated data