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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：23/0  |  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)  
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：37/0  |  提交时间：2024/03/07
Forest canopy height  GEDI  ICESat-2 ATLAS  Lidar  Spatial interpolation  Deep neural network  
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：96/0  |  提交时间：2022/03/01
mangrove  LiDAR  random forest  GLAS  aboveground biomass  
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：99/0  |  提交时间：2022/01/06
Maize  Phenotype  Lidar  Drought stress  
Simple method for direct crown base height estimation of individual conifer trees using airborne LiDAR data 期刊论文
OPTICS EXPRESS, 2018, 卷号: 26, 期号: 10, 页码: A562-A578
作者:  Luo, Laiping;  Zhai, Qiuping;  Su, Yanjun;  Ma, Qin;  Kelly, Maggi;  Guo, Qinghua
Adobe PDF(4147Kb)  |  收藏  |  浏览/下载：90/0  |  提交时间：2022/02/25
Global patterns of woody residence time and its influence on model simulation of aboveground biomass 期刊论文
GLOBAL BIOGEOCHEMICAL CYCLES, 2017, 卷号: 31, 期号: 5, 页码: 821-835
作者:  Xue, Bao-Lin;  Guo, Qinghua;  Hu, Tianyu;  Xiao, Jingfeng;  Yang, Yuanhe;  Wang, Guoqiang;  Tao, Shengli;  Su, Yanjun;  Liu, Jin;  Zhao, Xiaoqian
Adobe PDF(2239Kb)  |  收藏  |  浏览/下载：96/0  |  提交时间：2022/03/28
Evaluation of modeled global vegetation carbon dynamics: Analysis based on global carbon flux and above-ground biomass data 期刊论文
ECOLOGICAL MODELLING, 2017, 卷号: 355, 页码: 84-96
作者:  Xue, Bao-Lin;  Guo, Qinghua;  Hu, Tianyu;  Wang, Guoqiang;  Wang, Yongcai;  Tao, Shengli;  Su, Yanjun;  Liu, Jin;  Zhao, Xiaoqian
Adobe PDF(699Kb)  |  收藏  |  浏览/下载：83/0  |  提交时间：2022/03/28
Dynamic global vegetation model  Integrated biosphere simulator  Gross primary production  Above-ground biomass  Global carbon cycle  
The influence of meteorology and phenology on net ecosystem exchange in an eastern Siberian boreal larch forest 期刊论文
JOURNAL OF PLANT ECOLOGY, 2016, 卷号: 9, 期号: 5, 页码: 520-530
作者:  Xue, Bao-Lin;  Guo, Qinghua;  Gong, Yongwei;  Hu, Tianyu;  Liu, Jin;  Ohta, Takeshi
Adobe PDF(853Kb)  |  收藏  |  浏览/下载：75/0  |  提交时间：2022/07/08
boreal forest  eastern Siberia  net ecosystem exchange  phenology  
Spatial distribution of forest aboveground biomass in China: Estimation through combination of spaceborne lidar, optical imagery, and forest inventory data 期刊论文
REMOTE SENSING OF ENVIRONMENT, 2016, 卷号: 173, 页码: 187-199
作者:  Su, Yanjun;  Guo, Qinghua;  Xue, Baolin;  Hu, Tianyu;  Alvarez, Otto;  Tao, Shengli;  Fang, Jingyun
Adobe PDF(4355Kb)  |  收藏  |  浏览/下载：84/0  |  提交时间：2022/07/08
Forest aboveground biomass  GIAS/ICESat  Lidar  Ground inventory  China  
Mapping Global Forest Aboveground Biomass with Spaceborne LiDAR, Optical Imagery, and Forest Inventory Data 期刊论文
REMOTE SENSING, 2016, 卷号: 8, 期号: 7
作者:  Hu, Tianyu;  Su, Yanjun;  Xue, Baolin;  Liu, Jin;  Zhao, Xiaoqian;  Fang, Jingyun;  Guo, Qinghua
Adobe PDF(8623Kb)  |  收藏  |  浏览/下载：69/0  |  提交时间：2022/07/08
global  forest  aboveground biomass  remote sensing  LiDAR