IB-CAS

浏览/检索结果: 共11条,第1-10条 帮助

限定条件                            
已选(0)清除 条数/页:   排序方式:
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:23/0  |  提交时间:2024/03/07
Forest aboveground biomass  Drone LiDAR  Allometric relationship  Power law  Tree height  Vegetation index  
Lidar sheds new light on plant phenomics for plant breeding and management: Recent advances and future prospects 期刊论文
ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING, 2021, 卷号: 171, 页码: 202-223
作者:  Jin, Shichao;  Sun, Xiliang;  Wu, Fangfang;  Su, Yanjun;  Li, Yumei;  Song, Shiling;  Xu, Kexin;  Ma, Qin;  Baret, Frederic;  Jiang, Dong;  Ding, Yanfeng;  Guo, Qinghua
Adobe PDF(12177Kb)  |  收藏  |  浏览/下载:86/0  |  提交时间:2023/02/24
Lidar  Traits  Phenomics  Breeding  Management  Multi-omits  
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:89/0  |  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  
Exploring Seasonal and Circadian Rhythms in Structural Traits of Field Maize from LiDAR Time Series 期刊论文
PLANT PHENOMICS, 2021, 卷号: 2021
作者:  Jin, Shichao;  Su, Yanjun;  Zhang, Yongguang;  Song, Shilin;  Li, Qing;  Liu, Zhonghua;  Ma, Qin;  Ge, Yan;  Liu, LingLi;  Ding, Yanfeng;  Baret, Frederic;  Guo, Qinghua
Adobe PDF(1975Kb)  |  收藏  |  浏览/下载:87/0  |  提交时间:2023/02/24
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:145/0  |  提交时间:2022/03/01
Classification  deep learning  LiDAR  phenotype  segmentation  structural components  
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:106/0  |  提交时间:2022/03/01
Biomass  Phenotype  Machine learning  Terrestrial lidar  Precision agriculture  
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
作者:  Guo, Qinghua;  Jin, Shichao;  Li, Min;  Yang, Qiuli;  Xu, Kexin;  Ju, Yuanzhen;  Zhang, Jing;  Xuan, Jing;  Liu, Jin;  Su, Yanjun;  Xu, Qiang;  Liu, Yu
Adobe PDF(4690Kb)  |  收藏  |  浏览/下载:121/0  |  提交时间:2022/03/01
Ecological resources  Deep learning  Neural network  Big data  Theory and tools  Application and challenge  
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:112/0  |  提交时间:2022/03/01
Aboveground biomass (AGB)  Degraded grassland  Machine learning  Northern agro-pastoral ecotone  Terrestrial laser scanning (TLS)  
Evaluating maize phenotype dynamics under drought stress using terrestrial lidar 期刊论文
PLANT METHODS, 2019, 卷号: 15
作者:  Su, Yanjun;  Wu, Fangfang;  Ao, Zurui;  Jin, Shichao;  Qin, Feng;  Liu, Boxin;  Pang, Shuxin;  Liu, Lingli;  Guo, Qinghua
Adobe PDF(2545Kb)  |  收藏  |  浏览/下载:105/0  |  提交时间:2022/01/06
Maize  Phenotype  Lidar  Drought stress  
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
作者:  Jin, Shichao;  Su, Yanjun;  Wu, Fangfang;  Pang, Shuxin;  Gao, Shang;  Hu, Tianyu;  Liu, Jin;  Guo, Qinghua
Adobe PDF(7737Kb)  |  收藏  |  浏览/下载:118/0  |  提交时间:2022/01/06
Light detection and ranging (LiDAR)  phenotypic traits  regional growth  segmentation  skeleton