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The Shift from Energy to Water Limitation in Local Canopy Height from Temperate to Tropical Forests in China 期刊论文
FORESTS, 2022, 卷号: 13, 期号: 5
作者:  Wang, Bojian;  Fang, Shuai;  Wang, Yunyun;  Guo, Qinghua;  Hu, Tianyu;  Mi, Xiangcheng;  Lin, Luxiang;  Jin, Guangze;  Coomes, David Anthony;  Yuan, Zuoqiang;  Ye, Ji;  Wang, Xugao;  Lin, Fei;  Hao, Zhanqing
Adobe PDF(8927Kb)  |  收藏  |  浏览/下载：18/0  |  提交时间：2024/03/07
maximum forest canopy height (Hmax)  water- and energy-related hypotheses  local-scale forest plot  light detection and ranging (LiDAR)  
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  
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：9/0  |  提交时间：2024/03/07
LiDAR  Multispectral  Yield  Phenotype  Hyper-temporal  
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：13/0  |  提交时间：2024/03/07
Forest aboveground biomass  Drone LiDAR  Allometric relationship  Power law  Tree height  Vegetation index  
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：276/0  |  提交时间：2023/02/24
Laser radar  Vegetation mapping  Three-dimensional displays  Surface emitting lasers  Optical sensors  Ecosystems  Optical reflection  
One-Class Remote Sensing Classification From Positive and Unlabeled Background Data 期刊论文
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2021, 卷号: 14, 页码: 730-746
作者:  Li, Wenkai;  Guo, Qinghua;  Elkan, Charles
Adobe PDF(11598Kb)  |  收藏  |  浏览/下载：73/0  |  提交时间：2023/02/24
Training  Remote sensing  Classification algorithms  Mathematical model  Support vector machines  Data models  Prediction algorithms  Case-control sampling  labeled and unlabeled data  one-class classification  positive and background learning with constraints (PBLC)  remote sensing  
ADMorph: A 3D Digital Microfossil Morphology Dataset for Deep Learning 期刊论文
IEEE ACCESS, 2020, 卷号: 8, 页码: 148744-148756
作者:  Hou, Yemao;  Cui, Xindong;  Canul-Ku, Mario;  Jin, Shichao;  Hasimoto-Beltran, Rogelio;  Guo, Qinghua;  Zhu, Min
Adobe PDF(1648Kb)  |  收藏  |  浏览/下载：91/0  |  提交时间：2022/03/01
Three-dimensional displays  Solid modeling  Computational modeling  Machine learning  Two dimensional displays  Biological system modeling  Shape  Archives of digital morphology  data preprocessing  feature extraction  3D microfossil model classification  deep learning  
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：92/0  |  提交时间：2022/03/01
Plant phenotyping  Leaf and panicle detection  Deep learning  Physiological trait  Leaf to panicle ratio (LPR)  Japonica rice  
Mapping the Global Mangrove Forest Aboveground Biomass Using Multisource Remote Sensing Data 期刊论文
REMOTE SENSING, 2020, 卷号: 12, 期号: 10
作者:  Hu, Tianyu;  Zhang, YingYing;  Su, Yanjun;  Zheng, Yi;  Lin, Guanghui;  Guo, Qinghua
Adobe PDF(3278Kb)  |  收藏  |  浏览/下载：89/0  |  提交时间：2022/03/01
mangrove  LiDAR  random forest  GLAS  aboveground biomass  
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：90/0  |  提交时间：2022/03/01
Biomass  Phenotype  Machine learning  Terrestrial lidar  Precision agriculture