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Mapping Chinese annual gross primary productivity with eddy covariance measurements and machine learning 期刊论文
SCIENCE OF THE TOTAL ENVIRONMENT, 2023, 卷号: 857
作者:  Zhu, Xian-Jin;  Yu, Gui-Rui;  Chen, Zhi;  Zhang, Wei-Kang;  Han, Lang;  Wang, Qiu-Feng;  Chen, Shi-Ping;  Liu, Shao-Min;  Yan, Jun-Hua;  Zhang, Fa -Wei;  Zhao, Feng-Hua;  Li, Ying-Nian;  Zhang, Yi-Ping;  Shi, Pei -Li;  Zhu, Jiao-Jun;  Wu, Jia-Bing;  Zhao, Zhong-Hui;  Hao, Yan-Bin;  Sha, Li-Qing;  Zhang, Yu-Cui;  Jiang, Shi-Cheng;  Gu, Feng-Xue;  Wu, Zhi-Xiang;  Wang, Hui-Min;  Tan, Jun-Lei;  Zhang, Yang-Jian;  Zhou, Li;  Tang, Ya-Kun;  Jia, Bing-Rui;  Li, Yu-Qiang;  Song, Qing-Hai;  Dong, Gang;  Gao, Yan-Hong;  Jiang, Zheng-De;  Sun, Dan;  Wang, Jian-Lin;  He, Qi-Hua;  Li, Xin-Hu;  Wang, Fei;  Wei, Wen-Xue;  Deng, Zheng-Miao;  Hao, Xiang-Xiang;  Li, Yan;  Liu, Xiao-Li;  Zhang, Xi-Feng;  Zhu, Zhi-Lin
Adobe PDF(7504Kb)  |  收藏  |  浏览/下载：72/0  |  提交时间：2024/03/07
Carbon cycle  Climate change  Eddy covariance  Terrestrial ecosystem  Machine learning  Scale extension  
Spatiotemporal Pattern of Ecosystem Respiration in China Estimated by Integration of Machine Learning With Ecological Understanding 期刊论文
GLOBAL BIOGEOCHEMICAL CYCLES, 2022, 卷号: 36, 期号: 11
作者:  Han, Lang;  Yu, Gui-Rui;  Chen, Zhi;  Zhu, Xian-Jin;  Zhang, Wei-Kang;  Wang, Tie-Jun;  Xu, Li;  Chen, Shi-Ping;  Liu, Shao-Min;  Wang, Hui-Min;  Yan, Jun-Hua;  Tan, Jun-Lei;  Zhang, Fa-Wei;  Zhao, Feng-Hua;  Li, Ying-Nian;  Zhang, Yi-Ping;  Sha, Li-Qing;  Song, Qing-Hai;  Shi, Pei-Li;  Zhu, Jiao-Jun;  Wu, Jia-Bing;  Zhao, Zhong-Hui;  Hao, Yan-Bin;  Ji, Xi-Bin;  Zhao, Liang;  Zhang, Yu-Cui;  Jiang, Shi-Cheng;  Gu, Feng-Xue;  Wu, Zhi-Xiang;  Zhang, Yang-Jian;  Li, Zhou;  Tang, Ya-Kun;  Jia, Bing-Rui;  Dong, Gang;  Gao, Yan-Hong;  Jiang, Zheng-De;  Sun, Dan;  Wang, Jian-Lin;  He, Qi-Hua;  Li, Xin-Hu;  Wang, Fei;  Wei, Wen-Xue;  Deng, Zheng-Miao;  Hao, Xiang-Xiang;  Liu, Xiao-Li;  Zhang, Xi-Feng;  Mo, Xing-Guo;  He, Yong-Tao;  Liu, Xin-Wei;  Du, Hu;  Zhu, Zhi-Lin
Adobe PDF(2863Kb)  |  收藏  |  浏览/下载：12/0  |  提交时间：2024/03/07
ecosystem respiration  eddy covariance  terrestrial ecosystem  machine learning  substrate  scale extension  
Hyperspectral characteristics and leaf area index monitoring of rice (Oryza sativa L.) under carbon dioxide concentration enrichment 期刊论文
SPECTROSCOPY LETTERS, 2021, 卷号: 54, 期号: 3, 页码: 231-243
作者:  Liu, Chao;  Hu, Zhenghua;  Kong, Rui;  Yu, Lingfei;  Wang, Yuanyuan;  Chen, Shutao;  Zhang, Xuesong
Adobe PDF(2003Kb)  |  收藏  |  浏览/下载：92/0  |  提交时间：2023/02/24
Carbon dioxide enrichment  inversion model  leaf area index  rice  spectral parameter  
Hyperspectral characteristics and inversion model estimation of winter wheat under different elevated CO2 concentrations 期刊论文
INTERNATIONAL JOURNAL OF REMOTE SENSING, 2021, 卷号: 42, 期号: 3, 页码: 1035-1053
作者:  Liu, Chao;  Hu, Zhenghua;  Islam, A. R. M. Towfiqul;  Kong, Rui;  Yu, Lingfei;  Wang, Yuanyuan
Adobe PDF(2054Kb)  |  收藏  |  浏览/下载：69/0  |  提交时间：2023/02/24
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：77/0  |  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  
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  
Identification of tissue-specific and cold-responsive lncRNAs in Medicago truncatula by high-throughput RNA sequencing 期刊论文
BMC PLANT BIOLOGY, 2020, 卷号: 20, 期号: 1
作者:  Zhao, Mingui;  Wang, Tianzuo;  Sun, Tianyang;  Yu, Xiaoxi;  Tian, Rui;  Zhang, Wen-Hao
Adobe PDF(2462Kb)  |  收藏  |  浏览/下载：100/0  |  提交时间：2022/03/01
CBFs  Cold stress  Long non-coding RNAs  Medicago truncatula  MtCIR1  
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：93/0  |  提交时间：2022/03/01
Aboveground biomass (AGB)  Degraded grassland  Machine learning  Northern agro-pastoral ecotone  Terrestrial laser scanning (TLS)  
Cost-effective priorities for the expansion of global terrestrial protected areas: Setting post-2020 global and national targets 期刊论文
SCIENCE ADVANCES, 2020, 卷号: 6, 期号: 37
作者:  Yang, Rui;  Cao, Yue;  Hou, Shuyu;  Peng, Qinyi;  Wang, Xiaoshan;  Wang, Fangyi;  Tseng, Tz-Hsuan;  Yu, Le;  Carver, Steve;  Convery, Ian;  Zhao, Zhicong;  Shen, Xiaoli;  Li, Sheng;  Zheng, Yaomin;  Liu, Han;  Gong, Peng;  Ma, Keping
Adobe PDF(679Kb)  |  收藏  |  浏览/下载：96/0  |  提交时间：2022/03/01
Spatial patterns and climate controls of seasonal variations in carbon fluxes in China's terrestrial ecosystems 期刊论文
GLOBAL AND PLANETARY CHANGE, 2020, 卷号: 189
作者:  Han, Lang;  Wang, Qiu-Feng;  Chen, Zhi;  Yu, Gui-Rui;  Zhou, Guang-Sheng;  Chen, Shi-Ping;  Li, Ying-Nian;  Zhang, Yi-Ping;  Yan, Jun-Hua;  Wang, Hui-Min;  Han, Shi-Jie;  Wang, Yan-Fen;  Sha, Li-Qing;  Shi, Pei-Li;  Zhang, Yang-Jian;  Xiang, Wen-Hua;  Zhao, Liang;  Zhang, Qiu-Liang;  He, Qi-Hua;  Mo, Xing-Guo;  Guo, Ji-Xun
Adobe PDF(7085Kb)  |  收藏  |  浏览/下载：96/0  |  提交时间：2022/03/01
Carbon flux components  Climatic factors  Phenology  Physiological properties  Seasonal variations  Terrestrial ecosystems