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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：10/0  |  提交时间：2024/03/07
LiDAR  Multispectral  Yield  Phenotype  Hyper-temporal  
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：13/0  |  提交时间：2024/03/07
loess landslide  google earth image  deep learning  automatic identification  object detection  
Human-Climate Coupled Changes in Vegetation Community Complexity of China Since 1980s 期刊论文
EARTHS FUTURE, 2022, 卷号: 10, 期号: 7
作者:  Su, Yanjun;  Guo, Qinghua;  Guan, Hongcan;  Hu, Tianyu;  Jin, Shichao;  Wang, Zhiheng;  Liu, Lingli;  Jiang, Lin;  Guo, Ke;  Xie, Zongqiang;  An, Shazhou;  Chen, Xuelin;  Hao, Zhanqing;  Hu, Yuanman;  Huang, Yongmei;  Jiang, Mingxi;  Li, Jiaxiang;  Li, Zhenji;  Li, Xiankun;  Li, Xiaowei;  Liang, Cunzhu;  Liu, Renlin;  Liu, Qing;  Ni, Hongwei;  Peng, Shaolin;  Shen, Zehao;  Tang, Zhiyao;  Tian, Xingjun;  Wang, Xihua;  Wang, Renqing;  Xie, Yingzhong;  Xu, Xiaoniu;  Yang, Xiaobo;  Yang, Yongchuan;  Yu, Lifei;  Yue, Ming;  Zhang, Feng;  Chen, Jun;  Ma, Keping
Adobe PDF(3646Kb)  |  收藏  |  浏览/下载：10/0  |  提交时间：2024/03/07
vegetation community complexity  human activities  climate change  vegetation map  
Proximal and remote sensing in plant phenomics: 20 years of progress, challenges, and perspectives 期刊论文
PLANT COMMUNICATIONS, 2022, 卷号: 3, 期号: 6
作者:  Tao, Haiyu;  Xu, Shan;  Tian, Yongchao;  Li, Zhaofeng;  Ge, Yan;  Zhang, Jiaoping;  Wang, Yu;  Zhou, Guodong;  Deng, Xiong;  Zhang, Ze;  Ding, Yanfeng;  Jiang, Dong;  Guo, Qinghua;  Jin, Shichao
Adobe PDF(24106Kb)  |  收藏  |  浏览/下载：14/0  |  提交时间：2024/03/07
plant phenomics  remote sensing  phenotyping  phenotypic traits  multi-omics  breeding  precision cultivation  
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：76/0  |  提交时间：2023/02/24
Lidar  Traits  Phenomics  Breeding  Management  Multi-omits  
A Framework for Land Use Scenes Classification Based on Landscape Photos 期刊论文
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2020, 卷号: 13, 页码: 6124-6141
作者:  Xu, Shiwu;  Zhang, Shihui;  Zeng, Jue;  Li, Tingyu;  Guo, Qinghua;  Jin, Shichao
Adobe PDF(6559Kb)  |  收藏  |  浏览/下载：91/0  |  提交时间：2022/03/01
Semantics  Remote sensing  Image analysis  Image segmentation  Object recognition  Machine learning  Forestry  Deep convolutional neural networks (DCNNs)  landscape photos  land survey  land use scene classification  
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：92/0  |  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：107/0  |  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：96/0  |  提交时间：2022/03/01
Aboveground biomass (AGB)  Degraded grassland  Machine learning  Northern agro-pastoral ecotone  Terrestrial laser scanning (TLS)  
An updated Vegetation Map of China (1:1000000) 期刊论文
SCIENCE BULLETIN, 2020, 卷号: 65, 期号: 13, 页码: 1125-1136
作者:  Su, Yanjun;  Guo, Qinghua;  Hu, Tianyu;  Guan, Hongcan;  Jin, Shichao;  An, Shazhou;  Chen, Xuelin;  Guo, Ke;  Hao, Zhanqing;  Hu, Yuanman;  Huang, Yongmei;  Jiang, Mingxi;  Li, Jiaxiang;  Li, Zhenji;  Li, Xiankun;  Li, Xiaowei;  Liang, Cunzhu;  Liu, Renlin;  Liu, Qing;  Ni, Hongwei;  Peng, Shaolin;  Shen, Zehao;  Tang, Zhiyao;  Tian, Xingjun;  Wang, Xihua;  Wang, Renqing;  Xie, Zongqiang;  Xie, Yingzhong;  Xu, Xiaoniu;  Yang, Xiaobo;  Yang, Yongchuan;  Yu, Lifei;  Yue, Ming;  Zhang, Feng;  Ma, Keping
Adobe PDF(6509Kb)  |  收藏  |  浏览/下载：105/0  |  提交时间：2022/03/01